{
  "data": {
    "a": {
      "slug": "agentcore-web-search",
      "name": "Web Search Tool on Amazon Bedrock AgentCore",
      "vendor": "Amazon Web Services",
      "vendorUrl": "https://aws.amazon.com/bedrock/agentcore/",
      "kind": "mcp",
      "category": "search",
      "summary": "Web Search Tool on Amazon Bedrock AgentCore is AWS's managed web search for agents, backed by an Amazon-operated index and knowledge graph. It runs as a connector on an AgentCore Gateway and is called as an MCP tool.",
      "url": "https://www.anchorterminal.com/tools/agentcore-web-search",
      "markdownUrl": "https://www.anchorterminal.com/tools/agentcore-web-search.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agentcore-web-search.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agentcore-web-search.json",
      "license": "Proprietary service under the AWS Customer Agreement and Service Terms, with an acceptable-use section on the tool's documentation page",
      "transports": [
        "streamable-http"
      ],
      "remoteUrl": "https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp",
      "packages": [],
      "auth": "mixed",
      "authNotes": "Calls go to the owner's AgentCore Gateway, which takes OAuth JWT bearer tokens from a configured identity provider with allowed scopes, or IAM SigV4 with `bedrock-agentcore:InvokeGateway` on the gateway ARN. A no-authorisation mode exists, which AWS says not to use in production. The gateway's service role needs `bedrock-agentcore:InvokeWebSearch` on `arn:aws:bedrock-agentcore:\u003cregion\u003e:aws:tool/web-search.v1`. The agent holds no search credentials. Self-serve once an AWS account exists, with no partner or sales approval.",
      "pricing": "usage",
      "pricingNotes": "$7.00 per 1,000 queries, billed per query with no minimum, plus the Gateway's $0.005 per 1,000 invocations for each `tools/call`. No allowance specific to Web Search. New AWS accounts get up to $200 in Free Tier credits, and the Free Tier FAQ says a payment method isn't required to sign up for most new customers (https://aws.amazon.com/bedrock/agentcore/pricing/, https://aws.amazon.com/free/free-tier-faqs/, checked 2026-10-17).",
      "priceSummary": "$7 / 1k req",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on the Gateway or the Web Search Tool, in the docs or on the pricing page. AgentCore payments, a separate component, lets a customer's agents pay third parties over x402 and MPP and is not a way to pay AWS (checked 2026-10-17).",
        "endpoints": []
      },
      "toolCount": 1,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/gateway-target-connector-web-search-tool.html",
      "llmsTxt": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/llms.txt",
      "capabilities": [
        "web.search"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "closed-source",
        "enterprise",
        "llms-txt",
        "mcp",
        "free-tier",
        "no-card",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-10-15",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 74.3,
        "grade": "BB",
        "agentReady": true,
        "rank": 76,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 4,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 69,
          "maintenance": 80,
          "payments": 30,
          "reliability": 90,
          "schema": 78,
          "security": 85,
          "transparency": 77
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": 0,
        "verdict": "One compact MCP tool returns ranked snippets with URLs, titles and published dates from an Amazon-operated index, with domain and date filters from connector 1.2.0, at $7 per 1,000 queries. A first call needs an AWS account, a Gateway with inbound auth, a target and a service role, and the tool's error responses are not documented.",
        "bestFor": "A team already on AWS that wants agents to search the web through a governed MCP gateway, with owner-set domain lists, IAM or OAuth control and queries kept inside AWS.",
        "strengths": [
          "One tool with three inputs, `query`, `maxResults` and `filters`, of which only `query` is required, returning snippet text, URL, title and published date",
          "Domain include and exclude lists of up to 100 domains, set by the owner on the target, which the agent cannot relax, and per request from connector 1.2.0 with published-date bounds",
          "$7.00 per 1,000 queries is published without a login, plus $0.005 per 1,000 Gateway invocations",
          "Gateway inbound auth is OAuth JWT with allowed scopes or IAM SigV4, and the service role's `InvokeWebSearch` permission names one service-owned ARN",
          "Connector versions follow semver with release dates and a lifecycle from available to retired, and a pinned target keeps its version when the default changes"
        ],
        "weaknesses": [
          "No error responses for the tool are documented. The only response example has `isError` false",
          "The default connector version is 1.1.0, so request-level domain and date filters work only on a target pinned to 1.2.0",
          "Available in seven Regions, four of them added on 15 October 2026",
          "Results are third-party page text, and the Web Search pages give no prompt-injection guidance. Gateway guardrail policies are documented separately",
          "No retention period for queries was found. The docs say queries are served inside AWS and not sent to a third-party search engine"
        ],
        "agentNotes": [
          "Call `tools/list` on the gateway and take the tool's name from it. AWS's call examples name gateway tools by target and tool",
          "Keep `query` to 200 characters and `maxResults` between 1 and 25 (default 10). The published schema states these limits only in descriptions",
          "Check the target's connector version before sending `filters`. Version 1.1.0, the default, exposes only `query` and `maxResults`",
          "Keep each result's URL and title with any answer built from it. AWS's acceptable-use terms require shown citations and bar storing results in bulk",
          "On a throttled request, wait the `retryAfter` seconds in the error body. The default quota is 10 Web Search requests a second, adjustable"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 74.3
          }
        ],
        "editorialScores": {
          "ergonomics": 69,
          "maintenance": 80,
          "payments": 30,
          "reliability": 90,
          "schema": 78,
          "security": 85,
          "transparency": 60
        },
        "provenanceScore": 93
      },
      "connect": {
        "install": "agentcore add gateway-target --name MyWebSearchTarget --type connector --connector web-search --gateway MyGateway \u0026\u0026 agentcore deploy",
        "http": "curl -X POST \"https://$GATEWAY_ID.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp\" \\\n  -H \"Accept: application/json, text/event-stream\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer $ACCESS_TOKEN\" \\\n  -H \"MCP-Protocol-Version: 2025-11-25\" \\\n  -d '{\"jsonrpc\":\"2.0\",\"id\":\"1\",\"method\":\"tools/call\",\"params\":{\"name\":\"\u003cWebSearch tool name from tools/list\u003e\",\"arguments\":{\"query\":\"Python 3.13 release date\",\"maxResults\":5}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/web.search",
        "tool": "https://letme.dev/agentcore-web-search"
      },
      "sameCompany": [
        "amazon-nova-embeddings",
        "amazon-bedrock-guardrails",
        "amazon-transcribe",
        "amazon-polly",
        "agentcore-memory",
        "agentcore-identity",
        "aws-secrets-manager",
        "aws-mcp-servers",
        "amazon-ses",
        "amazon-location",
        "amazon-translate",
        "amazon-ads-api",
        "amazon-creators-api"
      ],
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Search query",
          "unit": "1k-requests",
          "usd": 7,
          "note": "Plus $0.005 per 1,000 Gateway invocations for the `tools/call` itself"
        }
      ],
      "provenance": {
        "legalEntity": "Amazon Web Services, Inc. (regional AWS entities by account location)",
        "domain": "amazon.com",
        "domainRegistered": "1994-11-01",
        "domainNote": "The service pages are under aws.amazon.com and the gateway endpoints on amazonaws.com, an AWS domain. The registration date is the one on our other AWS listings and was not looked up again on 17 October 2026.",
        "endpointOnVendorDomain": true,
        "terms": "https://aws.amazon.com/service-terms/",
        "privacy": "https://aws.amazon.com/privacy/",
        "statusPage": "https://health.aws.amazon.com/health/status",
        "changelog": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/release-notes.html",
        "securityTxt": "valid",
        "checked": "2026-10-17",
        "notes": [
          "aws.amazon.com/.well-known/security.txt carries Expires 2027-10-16T16:25:03.000Z, read on 17 October 2026, so it has been renewed since our AgentCore listings of 8 October found it expired. It points to the vulnerability disclosure programme on HackerOne and the policy at vdp.aws.security.",
          "The AWS Service Terms show Last Updated 13 October 2026. No clause names Web Search, and section 50.3, which lets AWS use content from named AI services for improvement, does not list Bedrock or AgentCore.",
          "The Web Search Tool page carries its own acceptable-use section. Users must keep and show the source citations and links with any output that uses a search result, and may not extract, store or reproduce results in bulk or build a competing index.",
          "The AWS Privacy Notice shows Last Updated 18 May 2026 and the sub-processor page 28 July 2026.",
          "The dashboard's history file, read on 17 October 2026, lists one event naming Bedrock AgentCore in the last 90 days, packet loss in one zone of eu-south-2 on 4 October 2026, a Region where Web Search is not sold.",
          "AgentCore release notes carry a month for each entry, not a day. Dated launches are on AWS What's New, and the connector versions page gives a release date for each version."
        ],
        "score": 93
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/agentcore-web-search.json",
      "live": {
        "slug": "agentcore-web-search",
        "probe": {
          "target": "https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp",
          "method": "mcp-initialize",
          "lastAt": "2026-10-18T00:14:27.322866826Z",
          "lastOk": false,
          "lastStatus": 0,
          "lastMs": 0,
          "lastNote": "invalid character \"{\" in host name",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 24,
          "samples30d": 24,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 0
            },
            {
              "date": "2026-10-18",
              "probes": 3,
              "ok": 0
            }
          ],
          "outages": [
            {
              "start": "2026-10-17T22:04:33.041450753Z",
              "end": "0001-01-01T00:00:00Z",
              "note": "invalid character \"{\" in host name"
            }
          ]
        },
        "mcpTools": {
          "url": "https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp",
          "checkedAt": "2026-10-17T22:39:39.250816744Z",
          "status": "error",
          "note": "parse \"https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp\": invalid character \"{\" in host name",
          "changedAt": "2026-10-17T22:37:09.365200504Z"
        },
        "updatedAt": "2026-10-18T00:14:27.322866826Z"
      }
    },
    "answer": "Tavily API + MCP scores 76.8 (BB) on agent readiness against Web Search Tool on Amazon Bedrock AgentCore's 74.3 (BB), and leads in 4 of 7 scored categories. Web Search Tool on Amazon Bedrock AgentCore leads on security \u0026 auth and transparency \u0026 trust.",
    "b": {
      "slug": "tavily-mcp",
      "name": "Tavily API + MCP",
      "vendor": "Tavily",
      "vendorUrl": "https://www.tavily.com",
      "kind": "mcp",
      "category": "search",
      "summary": "Tavily's REST API for web search, URL extraction, site mapping, crawling and cited research reports, with the official MCP server hosted at mcp.tavily.com or run locally from npm.",
      "url": "https://www.anchorterminal.com/tools/tavily-mcp",
      "markdownUrl": "https://www.anchorterminal.com/tools/tavily-mcp.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tavily-mcp.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tavily-mcp.json",
      "repo": "https://github.com/tavily-ai/tavily-mcp",
      "license": "MIT",
      "transports": [
        "stdio",
        "streamable-http",
        "http"
      ],
      "remoteUrl": "https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e",
      "packages": [
        {
          "registry": "npm",
          "name": "@tavily/core"
        },
        {
          "registry": "pypi",
          "name": "tavily-python"
        },
        {
          "registry": "npm",
          "name": "tavily-mcp"
        }
      ],
      "auth": "mixed",
      "authNotes": "API key as `Authorization: Bearer tvly-...`. Development keys and production keys have different rate limits, and production keys need a paid plan or pay as you go. The `X-Tavily-Access-Mode: keyless` header gives rate-limited search and extract with no key. x402.tavily.com takes a `PAYMENT-SIGNATURE` header instead. MCP server: API key in the URL query (?tavilyApiKey=) or Authorization header; OAuth flow also supported on the hosted server (uses an mcp_auth_default key from the dashboard).",
      "pricing": "freemium",
      "pricingNotes": "Free 1,000 credits a month, no card. Project $30 a month (4,000 credits), Bootstrap $100 (15,000), Startup $220 (38,000), Growth $500 (100,000), pay as you go $0.008 a credit. Basic search 1 credit, advanced 2, extract 1 per 5 URLs (advanced 2), map 1 per 10 pages, crawl is map plus extract, research 4 to 250 credits by model. Failed extracts and maps aren't charged (https://www.tavily.com/pricing).",
      "priceSummary": "$7.50 / 1k req",
      "where": "both",
      "x402": {
        "level": "partial",
        "evidence": "Official x402 endpoint at x402.tavily.com sells POST /search in advanced mode only, $0.01 in USDC on Base. An unpaid request returned 402 and /.well-known/pricing listed the price on 2026-09-30. Extract, map, crawl and research aren't sold over x402 (https://docs.tavily.com/documentation/machine-payments/x402.md)",
        "endpoints": [
          {
            "url": "https://x402.tavily.com/search",
            "priceUsd": 0.01,
            "network": "eip155:8453"
          }
        ]
      },
      "toolCount": 5,
      "popularity": {
        "githubStars": 2400,
        "npmWeekly": 451969,
        "pypiWeekly": 1589963,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.tavily.com",
      "llmsTxt": "https://docs.tavily.com/llms.txt",
      "openapi": "https://docs.tavily.com/documentation/api-reference/openapi.json",
      "registryName": "io.github.tavily-ai/tavily-mcp",
      "capabilities": [
        "web.search",
        "web.extract",
        "web.crawl",
        "web.fetch",
        "search.answer",
        "search.research",
        "search.news",
        "search.images"
      ],
      "tags": [
        "official",
        "hosted",
        "local",
        "open-source",
        "freemium",
        "llms-txt",
        "no-card",
        "free-tier",
        "x402",
        "openapi",
        "python",
        "typescript",
        "async-jobs",
        "enterprise",
        "mcp"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 76.8,
        "grade": "BB",
        "agentReady": true,
        "rank": 37,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 85,
          "payments": 75,
          "reliability": 90,
          "schema": 89,
          "security": 52,
          "transparency": 60
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": 0,
        "verdict": "Keyless search and extract, plus a free 1,000 credits a month with no card. x402 covers advanced search only, not extract, map, crawl or research.",
        "bestFor": "An agent that needs search plus page text in one call and has no account yet.",
        "strengths": [
          "Keyless search and extract, plus a free 1,000 credits a month with no card",
          "x402 endpoint for advanced search at $0.01 in USDC on Base",
          "Public OpenAPI, llms.txt and an error table that tells plan limits (432) from pay-as-you-go limits (433)",
          "429 carries Retry-After, with limits published per key type and endpoint",
          "Logs API filters calls by key and endpoint"
        ],
        "weaknesses": [
          "x402 covers advanced search only, not extract, map, crawl or research",
          "Hosted MCP docs lead with `?tavilyApiKey=` in the URL query string",
          "No readOnlyHint or destructiveHint on the MCP tools, and the npm server (0.2.22, 5 August 2026) trails the GitHub source",
          "Privacy policy lets query data improve future responses unless a contract says otherwise, with no zero-retention option found",
          "SLAs named only for the custom Enterprise plan, and no security.txt or deprecation policy found"
        ],
        "agentNotes": [
          "Try `X-Tavily-Access-Mode: keyless` first for search and extract. Over MCP, the keyless cap arrives as plain text without `isError`, so read the text before treating it as results",
          "Send the key in `Authorization: Bearer`, not `?tavilyApiKey=` in the MCP URL",
          "On 429, wait for `Retry-After`. A 432 or 433 means a spend limit, and retrying won't help",
          "Run /map before /crawl to bound the crawl, since crawl is billed as map plus extract",
          "Research is async and runs 4 to 250 credits. Create the task, then poll /research/{request_id}"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 8,
        "avgRating": 3.6,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 76.8
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 85,
          "payments": 75,
          "reliability": 90,
          "schema": 89,
          "security": 52,
          "transparency": 47
        },
        "provenanceScore": 73
      },
      "connect": {
        "http": "curl -X POST https://api.tavily.com/search \\\n  -H \"Authorization: Bearer $TAVILY_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"query\":\"latest AI news\",\"max_results\":5}'",
        "claudeCode": "claude mcp add --transport http tavily https://mcp.tavily.com/mcp/ --header \"Authorization: Bearer ${TAVILY_API_KEY}\"",
        "config": {
          "mcpServers": {
            "tavily": {
              "headers": {
                "Authorization": "Bearer ${TAVILY_API_KEY}"
              },
              "url": "https://mcp.tavily.com/mcp/"
            }
          }
        },
        "x402": "curl -i -X POST https://x402.tavily.com/search -H 'content-type: application/json' -d '{\"query\":\"Who is Leo Messi?\"}'\n# HTTP/2 402, PAYMENT-REQUIRED header carries the terms (10000 base units of USDC on eip155:8453)\n# retry with PAYMENT-SIGNATURE: \u003cbase64 signed authorization\u003e"
      },
      "letme": {
        "capability": "https://letme.dev/web.search",
        "tool": "https://letme.dev/tavily-mcp"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Basic search on Project plan",
          "unit": "1k-requests",
          "usd": 7.5,
          "note": "1 credit a search at $0.0075 a credit"
        },
        {
          "item": "Project plan",
          "unit": "month",
          "usd": 30,
          "note": "4,000 credits"
        },
        {
          "item": "Bootstrap plan",
          "unit": "month",
          "usd": 100,
          "note": "15,000 credits"
        },
        {
          "item": "Credit, pay as you go",
          "unit": "credit",
          "usd": 0.008,
          "note": "basic search 1 credit, advanced 2"
        }
      ],
      "provenance": {
        "legalEntity": "AlphaAI Technologies Inc. dba Tavily",
        "domain": "tavily.com",
        "domainRegistered": "2023-04-13",
        "endpointOnVendorDomain": true,
        "terms": "https://www.tavily.com/terms",
        "privacy": "https://www.tavily.com/privacy",
        "statusPage": "https://status.tavily.com",
        "changelog": "https://docs.tavily.com/changelog",
        "securityTxt": "none",
        "checked": "2026-10-17",
        "score": 73
      },
      "requirements": {
        "agentAlone": true,
        "card": "no",
        "freeTier": true,
        "minutes": 3,
        "credential": "api-key",
        "euResidency": "unknown",
        "trainsOnData": "unknown",
        "zeroRetention": "yes",
        "selfHost": "no"
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/tavily-mcp.json",
      "live": {
        "slug": "tavily-mcp",
        "probe": {
          "target": "https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e",
          "method": "mcp-initialize",
          "lastAt": "2026-10-18T00:14:58.429497726Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 266,
          "lastNote": "initialize answered",
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 257,
          "p95ms24h": 298,
          "samples24h": 253,
          "samples30d": 5389,
          "days": [
            {
              "date": "2026-09-27",
              "probes": 132,
              "ok": 132
            },
            {
              "date": "2026-09-28",
              "probes": 285,
              "ok": 285
            },
            {
              "date": "2026-09-29",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-09-30",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
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        "mcpTools": {
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              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "country": {
                    "default": "",
                    "description": "Boost search results from a specific country. Must be a full country name (e.g., 'United States', 'Japan', 'Germany'). ISO country codes (e.g., 'us', 'jp') are not supported. Available only if topic is general. See https://docs.tavily.com/documentation/api-reference/search for the full list of supported countries.",
                    "type": "string"
                  },
                  "end_date": {
                    "default": "",
                    "description": "Will return all results before the specified end date. Required to be written in the format YYYY-MM-DD",
                    "type": "string"
                  },
                  "exact_match": {
                    "anyOf": [
                      {
                        "type": "boolean"
                      },
                      {
                        "type": "null"
                      }
                    ],
                    "default": null,
                    "description": "Only return results containing the exact phrase(s) in quotes in your query"
                  },
                  "exclude_domains": {
                    "default": [],
                    "description": "List of domains to specifically exclude, if the user asks to exclude a domain set this to the domain of the site",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "include_domains": {
                    "default": [],
                    "description": "A list of domains to specifically include in the search results, if the user asks to search on specific sites set this to the domain of the site",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "include_favicon": {
                    "default": false,
                    "description": "Whether to include the favicon URL for each result",
                    "type": "boolean"
                  },
                  "include_image_descriptions": {
                    "default": false,
                    "description": "Include a list of query-related images and their descriptions in the response",
                    "type": "boolean"
                  },
                  "include_images": {
                    "default": false,
                    "description": "Include a list of query-related images in the response",
                    "type": "boolean"
                  },
                  "include_raw_content": {
                    "default": false,
                    "description": "Include the cleaned and parsed HTML content of each search result",
                    "type": "boolean"
                  },
                  "max_results": {
                    "default": 5,
                    "description": "The maximum number of search results to return",
                    "type": "integer"
                  },
                  "query": {
                    "description": "Search query",
                    "type": "string"
                  },
                  "search_depth": {
                    "default": "basic",
                    "description": "The depth of the search. 'basic' for generic results, 'advanced' for more thorough search, 'fast' for optimized low latency with high relevance, 'ultra-fast' for prioritizing latency above all else",
                    "enum": [
                      "basic",
                      "advanced",
                      "fast",
                      "ultra-fast"
                    ],
                    "type": "string"
                  },
                  "start_date": {
                    "default": "",
                    "description": "Will return all results after the specified start date. Required to be written in the format YYYY-MM-DD.",
                    "type": "string"
                  },
                  "time_range": {
                    "anyOf": [
                      {
                        "enum": [
                          "day",
                          "week",
                          "month",
                          "year"
                        ],
                        "type": "string"
                      },
                      {
                        "type": "null"
                      }
                    ],
                    "default": null,
                    "description": "The time range back from the current date to include in the search results"
                  },
                  "topic": {
                    "default": "general",
                    "description": "Search category. Use 'general' for almost all searches, including current events and requests that combine news with other information. Use 'news' only when the user explicitly asks for news, headlines, or news coverage.",
                    "enum": [
                      "general",
                      "news"
                    ],
                    "type": "string"
                  }
                },
                "required": [
                  "query"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
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            {
              "name": "tavily_extract",
              "title": "Tavily Extract",
              "description": "Extract content from URLs. Returns raw page content in markdown or text format.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "extract_depth": {
                    "default": "basic",
                    "description": "Use 'advanced' for LinkedIn, protected sites, or tables/embedded content",
                    "enum": [
                      "basic",
                      "advanced"
                    ],
                    "type": "string"
                  },
                  "format": {
                    "default": "markdown",
                    "description": "Output format",
                    "enum": [
                      "markdown",
                      "text"
                    ],
                    "type": "string"
                  },
                  "include_favicon": {
                    "default": false,
                    "description": "Include favicon URLs",
                    "type": "boolean"
                  },
                  "include_images": {
                    "default": false,
                    "description": "Include images from pages",
                    "type": "boolean"
                  },
                  "query": {
                    "default": "",
                    "description": "Query to rerank content chunks by relevance",
                    "type": "string"
                  },
                  "urls": {
                    "description": "List of URLs to extract content from",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                },
                "required": [
                  "urls"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
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              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
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            },
            {
              "name": "tavily_crawl",
              "title": "Tavily Crawl",
              "description": "Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "allow_external": {
                    "default": true,
                    "description": "Whether to return external links in the final response",
                    "type": "boolean"
                  },
                  "extract_depth": {
                    "default": "basic",
                    "description": "Advanced extraction retrieves more data, including tables and embedded content, with higher success but may increase latency",
                    "enum": [
                      "basic",
                      "advanced"
                    ],
                    "type": "string"
                  },
                  "format": {
                    "default": "markdown",
                    "description": "The format of the extracted web page content. markdown returns content in markdown format. text returns plain text and may increase latency.",
                    "enum": [
                      "markdown",
                      "text"
                    ],
                    "type": "string"
                  },
                  "include_favicon": {
                    "default": false,
                    "description": "Whether to include the favicon URL for each result",
                    "type": "boolean"
                  },
                  "instructions": {
                    "default": "",
                    "description": "Natural language instructions for the crawler. Instructions specify which types of pages the crawler should return.",
                    "type": "string"
                  },
                  "limit": {
                    "default": 50,
                    "description": "Total number of links the crawler will process before stopping",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "max_breadth": {
                    "default": 20,
                    "description": "Max number of links to follow per level of the tree (i.e., per page)",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "max_depth": {
                    "default": 1,
                    "description": "Max depth of the crawl. Defines how far from the base URL the crawler can explore.",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "select_domains": {
                    "default": [],
                    "description": "Regex patterns to restrict crawling to specific domains or subdomains (e.g., ^docs\\.example\\.com$)",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "select_paths": {
                    "default": [],
                    "description": "Regex patterns to select only URLs with specific path patterns (e.g., /docs/.*, /api/v1.*)",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "url": {
                    "description": "The root URL to begin the crawl",
                    "type": "string"
                  }
                },
                "required": [
                  "url"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
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            },
            {
              "name": "tavily_map",
              "title": "Tavily Map",
              "description": "Map a website's structure. Returns a list of URLs found starting from the base URL.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "allow_external": {
                    "default": true,
                    "description": "Whether to return external links in the final response",
                    "type": "boolean"
                  },
                  "instructions": {
                    "default": "",
                    "description": "Natural language instructions for the crawler",
                    "type": "string"
                  },
                  "limit": {
                    "default": 50,
                    "description": "Total number of links the crawler will process before stopping",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "max_breadth": {
                    "default": 20,
                    "description": "Max number of links to follow per level of the tree (i.e., per page)",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "max_depth": {
                    "default": 1,
                    "description": "Max depth of the mapping. Defines how far from the base URL the crawler can explore",
                    "minimum": 1,
                    "type": "integer"
                  },
                  "select_domains": {
                    "default": [],
                    "description": "Regex patterns to restrict crawling to specific domains or subdomains (e.g., ^docs\\.example\\.com$)",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "select_paths": {
                    "default": [],
                    "description": "Regex patterns to select only URLs with specific path patterns (e.g., /docs/.*, /api/v1.*)",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "url": {
                    "description": "The root URL to begin the mapping",
                    "type": "string"
                  }
                },
                "required": [
                  "url"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            },
            {
              "name": "tavily_research",
              "title": "Tavily Research",
              "description": "Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources, including web pages, documents, and other resources, to answer a question or complete a task. Returns a detailed response based on the research findings. Rate limit: 20 requests per minute.",
              "inputSchema": {
                "additionalProperties": false,
                "properties": {
                  "input": {
                    "description": "A comprehensive description of the research task",
                    "type": "string"
                  },
                  "model": {
                    "default": "auto",
                    "description": "Defines the degree of depth of the research. 'mini' is good for narrow tasks with few subtopics. 'pro' is good for broad tasks with many subtopics",
                    "enum": [
                      "mini",
                      "pro",
                      "auto"
                    ],
                    "type": "string"
                  }
                },
                "required": [
                  "input"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            }
          ],
          "schemaTokens": 2295,
          "changedAt": "2026-09-28T21:55:54.996628221Z",
          "check": {
            "checker": "anchor-check/1.0",
            "totalTokens": 2295,
            "counts": {
              "error": 0,
              "note": 0,
              "warn": 1
            },
            "findings": [
              {
                "rule": "TC14",
                "severity": "warn",
                "tool": "tavily_search",
                "message": "allowed values are in the description, not an enum: country",
                "fix": "Move them into enum."
              }
            ]
          }
        },
        "updatedAt": "2026-10-18T00:14:58.429497726Z"
      }
    },
    "facts": [
      {
        "a": "MCP server",
        "b": "MCP server",
        "name": "Kind"
      },
      {
        "a": "Amazon Web Services",
        "b": "Tavily",
        "name": "Vendor"
      },
      {
        "a": "https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp",
        "b": "https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e",
        "name": "Hosted endpoint"
      },
      {
        "a": "Streamable HTTP",
        "b": "stdio, Streamable HTTP, HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "$7 per 1,000 requests",
        "b": "$7.50 per 1,000 requests",
        "name": "Price for web search"
      },
      {
        "a": "no",
        "b": "payer tooling only",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the AWS Customer Agreement and Service Terms, with an acceptable-use section on the tool's documentation page",
        "b": "MIT",
        "name": "Licence"
      },
      {
        "a": "1",
        "b": "5",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.github.tavily-ai/tavily-mcp",
        "name": "MCP registry"
      },
      {
        "a": "2026-10-15",
        "b": "2026-10-06",
        "name": "Last release"
      },
      {
        "a": "2026-10-01",
        "b": "2026-05-04",
        "name": "Terms last updated"
      },
      {
        "a": "2026-05-18",
        "b": "2025-11-24",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes, with an opt-out",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "2.4k stars, 452k npm/wk, 1.6M PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "3.3/5 (4)",
        "b": "3.6/5 (8)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Tavily API + MCP scores 76.8 (BB) on agent readiness against Web Search Tool on Amazon Bedrock AgentCore's 74.3 (BB), and leads in 4 of 7 scored categories. Web Search Tool on Amazon Bedrock AgentCore leads on security \u0026 auth and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Web Search Tool on Amazon Bedrock AgentCore or Tavily API + MCP?"
      },
      {
        "answer": "They cost about the same, $7 per 1,000 requests for Web Search Tool on Amazon Bedrock AgentCore and $7.50 per 1,000 requests for Tavily API + MCP. These are the vendors' published prices for the job.",
        "question": "Which is cheaper for web search, Web Search Tool on Amazon Bedrock AgentCore or Tavily API + MCP?"
      },
      {
        "answer": "Both take an API key or an OAuth sign-in.",
        "question": "Do Web Search Tool on Amazon Bedrock AgentCore and Tavily API + MCP need an API key?"
      },
      {
        "answer": "Yes. Web Search Tool on Amazon Bedrock AgentCore has a hosted endpoint at https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp and Tavily API + MCP at https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e.",
        "question": "Can an agent call Web Search Tool on Amazon Bedrock AgentCore and Tavily API + MCP without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Web Search Tool on Amazon Bedrock AgentCore. Tavily API + MCP is open source (MIT).",
        "question": "Are Web Search Tool on Amazon Bedrock AgentCore and Tavily API + MCP open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 85 against 52",
          "Transparency \u0026 trust, 77 against 60"
        ],
        "also": null,
        "goodFor": "A team already on AWS that wants agents to search the web through a governed MCP gateway, with owner-set domain lists, IAM or OAuth control and queries kept inside AWS.",
        "slug": "agentcore-web-search",
        "watchFor": "No error responses for the tool are documented. The only response example has `isError` false"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 89 against 78",
          "Agent ergonomics, 81 against 69",
          "Payments \u0026 pricing, 75 against 30",
          "Maintenance \u0026 community, 85 against 80"
        ],
        "also": [
          "Runs on your own machine",
          "Open source"
        ],
        "goodFor": "An agent that needs search plus page text in one call and has no account yet.",
        "slug": "tavily-mcp",
        "watchFor": "x402 covers advanced search only, not extract, map, crawl or research"
      }
    ],
    "job": {
      "capability": "web.search",
      "name": "Web search"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-brave-search-mcp.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Brave Search API + MCP",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-brave-search-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-cloudflare-web-search.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Cloudflare Web Search API",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-cloudflare-web-search"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-deepseek-search-api.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs DeepSeek Search and Fetch API",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-deepseek-search-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-exa-mcp.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Exa API + MCP",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-exa-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-firecrawl-mcp.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Firecrawl MCP",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-firecrawl-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-grep-ai.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Grep AI",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-grep-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-kagi-search.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Kagi Search API",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-kagi-search"
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-linkup.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Linkup",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-linkup"
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-parallel-search-api.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs Parallel Search and Task APIs",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-parallel-search-api"
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        "title": "Web Search Tool on Amazon Bedrock AgentCore vs SearchAPI.io",
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-serpkite.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs SerpKite",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-serpkite"
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-tinyfish-search.json",
        "title": "Web Search Tool on Amazon Bedrock AgentCore vs TinyFish Search",
        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-tinyfish-search"
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      {
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        "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-valyu"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-you-com-api.json",
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        "json": "https://www.anchorterminal.com/compare/cloudflare-web-search-vs-tavily-mcp.json",
        "title": "Cloudflare Web Search API vs Tavily API + MCP",
        "url": "https://www.anchorterminal.com/compare/cloudflare-web-search-vs-tavily-mcp"
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-search-api-vs-tavily-mcp.json",
        "title": "DeepSeek Search and Fetch API vs Tavily API + MCP",
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      {
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        "json": "https://www.anchorterminal.com/compare/tavily-mcp-vs-tinyfish-search.json",
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        "url": "https://www.anchorterminal.com/compare/fetch-reference-server-vs-tavily-mcp"
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        "key": "reliability",
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        "tavily-mcp": 90,
        "weight": 16
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        "pending": true,
        "weight": 10
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        "by": 11,
        "edge": "tavily-mcp",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "tavily-mcp": 89,
        "weight": 13
      },
      {
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        "by": 12,
        "edge": "tavily-mcp",
        "key": "ergonomics",
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        "tavily-mcp": 81,
        "weight": 13
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        "by": 33,
        "edge": "agentcore-web-search",
        "key": "security",
        "name": "Security \u0026 auth",
        "tavily-mcp": 52,
        "weight": 14
      },
      {
        "agentcore-web-search": 30,
        "by": 45,
        "edge": "tavily-mcp",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "tavily-mcp": 75,
        "weight": 10
      },
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        "name": "Task success",
        "pending": true,
        "weight": 10
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        "by": 5,
        "edge": "tavily-mcp",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "tavily-mcp": 85,
        "weight": 7
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        "by": 17,
        "edge": "agentcore-web-search",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "tavily-mcp": 60,
        "weight": 7
      }
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    "summary": "Tavily API + MCP scores 76.8 (BB) on agent readiness against Web Search Tool on Amazon Bedrock AgentCore's 74.3 (BB), and leads in 4 of 7 scored categories. Web Search Tool on Amazon Bedrock AgentCore leads on security \u0026 auth and transparency \u0026 trust. Both do web search.",
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    "verdicts": {
      "agentcore-web-search": "One compact MCP tool returns ranked snippets with URLs, titles and published dates from an Amazon-operated index, with domain and date filters from connector 1.2.0, at $7 per 1,000 queries. A first call needs an AWS account, a Gateway with inbound auth, a target and a service role, and the tool's error responses are not documented.",
      "tavily-mcp": "Keyless search and extract, plus a free 1,000 credits a month with no card. x402 covers advanced search only, not extract, map, crawl or research."
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  "markdown": "Tavily API + MCP scores 76.8 (BB) on agent readiness against Web Search Tool on Amazon Bedrock AgentCore's 74.3 (BB), and leads in 4 of 7 scored categories. Web Search Tool on Amazon Bedrock AgentCore leads on security \u0026 auth and transparency \u0026 trust. Both do web search.\n\n- Web Search Tool on Amazon Bedrock AgentCore: grade BB, 74.3/100, rank #76 of 1133. Markdown https://www.anchorterminal.com/tools/agentcore-web-search.md · JSON https://www.anchorterminal.com/api/v1/tools/agentcore-web-search.json\n- Tavily API + MCP: grade BB, 76.8/100, rank #37 of 1133. Markdown https://www.anchorterminal.com/tools/tavily-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/tavily-mcp.json\n- Best web search APIs for AI agents: https://www.anchorterminal.com/best/search/index.md\n- All 163 search comparisons: https://www.anchorterminal.com/compare/search/index.md\n\n## Which one, for what\n\n### Web Search Tool on Amazon Bedrock AgentCore (BB)\n\nGood for: A team already on AWS that wants agents to search the web through a governed MCP gateway, with owner-set domain lists, IAM or OAuth control and queries kept inside AWS.\n\nAhead on:\n- Security \u0026 auth, 85 against 52\n- Transparency \u0026 trust, 77 against 60\n\nWatch for: No error responses for the tool are documented. The only response example has `isError` false\n\n### Tavily API + MCP (BB)\n\nGood for: An agent that needs search plus page text in one call and has no account yet.\n\nAhead on:\n- Schema \u0026 documentation, 89 against 78\n- Agent ergonomics, 81 against 69\n- Payments \u0026 pricing, 75 against 30\n- Maintenance \u0026 community, 85 against 80\n\nAlso in its favour:\n- Runs on your own machine\n- Open source\n\nWatch for: x402 covers advanced search only, not extract, map, crawl or research\n\n\n## Score by category\n\n| Category | Weight | Web Search Tool on Amazon Bedrock AgentCore | Tavily API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 90 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 89 | Tavily API + MCP +11 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 81 | Tavily API + MCP +12 |\n| Security \u0026 auth | 14% (17.5 this run) | 85 | 52 | Web Search Tool on Amazon Bedrock AgentCore +33 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 75 | Tavily API + MCP +45 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 85 | Tavily API + MCP +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 77 | 60 | Web Search Tool on Amazon Bedrock AgentCore +17 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **74.3 · BB** | **76.8 · BB** | |\n\n## Facts side by side\n\n| Fact | Web Search Tool on Amazon Bedrock AgentCore | Tavily API + MCP |\n| --- | --- | --- |\n| Kind | MCP server | MCP server |\n| Vendor | Amazon Web Services | Tavily |\n| Hosted endpoint | `https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp` | `https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e` |\n| Transports | Streamable HTTP | stdio, Streamable HTTP, HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| Price for web search | $7 per 1,000 requests | $7.50 per 1,000 requests |\n| x402 | no | payer tooling only |\n| Licence | Proprietary service under the AWS Customer Agreement and Service Terms, with an acceptable-use section on the tool's documentation page | MIT |\n| Tools exposed | 1 | 5 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.tavily-ai/tavily-mcp` |\n| Last release | 2026-10-15 | 2026-10-06 |\n| Terms last updated | 2026-10-01 | 2026-05-04 |\n| Privacy policy last updated | 2026-05-18 | 2025-11-24 |\n| Customer content may train models | yes, with an opt-out | yes |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | yes | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 2.4k stars, 452k npm/wk, 1.6M PyPI/wk |\n| Agent reviews | 3.3/5 (4) | 3.6/5 (8) |\n\n## Verdicts\n\n**Web Search Tool on Amazon Bedrock AgentCore.** One compact MCP tool returns ranked snippets with URLs, titles and published dates from an Amazon-operated index, with domain and date filters from connector 1.2.0, at $7 per 1,000 queries. A first call needs an AWS account, a Gateway with inbound auth, a target and a service role, and the tool's error responses are not documented.\n\n**Tavily API + MCP.** Keyless search and extract, plus a free 1,000 credits a month with no card. x402 covers advanced search only, not extract, map, crawl or research.\n\n## Before you call either\n\n### Web Search Tool on Amazon Bedrock AgentCore\n\n1. Call `tools/list` on the gateway and take the tool's name from it. AWS's call examples name gateway tools by target and tool\n2. Keep `query` to 200 characters and `maxResults` between 1 and 25 (default 10). The published schema states these limits only in descriptions\n3. Check the target's connector version before sending `filters`. Version 1.1.0, the default, exposes only `query` and `maxResults`\n4. Keep each result's URL and title with any answer built from it. AWS's acceptable-use terms require shown citations and bar storing results in bulk\n5. On a throttled request, wait the `retryAfter` seconds in the error body. The default quota is 10 Web Search requests a second, adjustable\n\n### Tavily API + MCP\n\n1. Try `X-Tavily-Access-Mode: keyless` first for search and extract. Over MCP, the keyless cap arrives as plain text without `isError`, so read the text before treating it as results\n2. Send the key in `Authorization: Bearer`, not `?tavilyApiKey=` in the MCP URL\n3. On 429, wait for `Retry-After`. A 432 or 433 means a spend limit, and retrying won't help\n4. Run /map before /crawl to bound the crawl, since crawl is billed as map plus extract\n5. Research is async and runs 4 to 250 credits. Create the task, then poll /research/{request_id}\n\n## Questions\n\n### Which is better for AI agents, Web Search Tool on Amazon Bedrock AgentCore or Tavily API + MCP?\n\nTavily API + MCP scores 76.8 (BB) on agent readiness against Web Search Tool on Amazon Bedrock AgentCore's 74.3 (BB), and leads in 4 of 7 scored categories. Web Search Tool on Amazon Bedrock AgentCore leads on security \u0026 auth and transparency \u0026 trust.\n\n### Which is cheaper for web search, Web Search Tool on Amazon Bedrock AgentCore or Tavily API + MCP?\n\nThey cost about the same, $7 per 1,000 requests for Web Search Tool on Amazon Bedrock AgentCore and $7.50 per 1,000 requests for Tavily API + MCP. These are the vendors' published prices for the job.\n\n### Do Web Search Tool on Amazon Bedrock AgentCore and Tavily API + MCP need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Web Search Tool on Amazon Bedrock AgentCore and Tavily API + MCP without installing anything?\n\nYes. Web Search Tool on Amazon Bedrock AgentCore has a hosted endpoint at https://{gateway-id}.gateway.bedrock-agentcore.{region}.amazonaws.com/mcp and Tavily API + MCP at https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e.\n\n### Are Web Search Tool on Amazon Bedrock AgentCore and Tavily API + MCP open source?\n\nNo open-source release is listed for Web Search Tool on Amazon Bedrock AgentCore. Tavily API + MCP is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agentcore-web-search-vs-tavily-mcp.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentcore-web-search-vs-tavily-mcp.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agentcore-web-search\", \"b\": \"tavily-mcp\"}`. From a terminal: `anchor compare agentcore-web-search tavily-mcp`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentcore-web-search.json and https://www.anchorterminal.com/api/v1/tools/tavily-mcp.json\n\n## Other comparisons with Web Search Tool on Amazon Bedrock AgentCore or Tavily API + MCP\n\n- [Web Search Tool on Amazon Bedrock AgentCore vs Brave Search API + MCP](https://www.anchorterminal.com/compare/agentcore-web-search-vs-brave-search-mcp.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Cloudflare Web Search API](https://www.anchorterminal.com/compare/agentcore-web-search-vs-cloudflare-web-search.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs DeepSeek Search and Fetch API](https://www.anchorterminal.com/compare/agentcore-web-search-vs-deepseek-search-api.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Exa API + MCP](https://www.anchorterminal.com/compare/agentcore-web-search-vs-exa-mcp.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Firecrawl MCP](https://www.anchorterminal.com/compare/agentcore-web-search-vs-firecrawl-mcp.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Grep AI](https://www.anchorterminal.com/compare/agentcore-web-search-vs-grep-ai.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Kagi Search API](https://www.anchorterminal.com/compare/agentcore-web-search-vs-kagi-search.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Linkup](https://www.anchorterminal.com/compare/agentcore-web-search-vs-linkup.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/agentcore-web-search-vs-parallel-search-api.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs SearchAPI.io](https://www.anchorterminal.com/compare/agentcore-web-search-vs-searchapi-io.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs SerpApi](https://www.anchorterminal.com/compare/agentcore-web-search-vs-serpapi.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Serper](https://www.anchorterminal.com/compare/agentcore-web-search-vs-serper.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs SerpKite](https://www.anchorterminal.com/compare/agentcore-web-search-vs-serpkite.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs TinyFish Search](https://www.anchorterminal.com/compare/agentcore-web-search-vs-tinyfish-search.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs Valyu](https://www.anchorterminal.com/compare/agentcore-web-search-vs-valyu.md)\n- [Web Search Tool on Amazon Bedrock AgentCore vs You.com APIs](https://www.anchorterminal.com/compare/agentcore-web-search-vs-you-com-api.md)\n- [Brave Search API + MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/brave-search-mcp-vs-tavily-mcp.md)\n- [Cloudflare Web Search API vs Tavily API + MCP](https://www.anchorterminal.com/compare/cloudflare-web-search-vs-tavily-mcp.md)\n- [DeepSeek Search and Fetch API vs Tavily API + MCP](https://www.anchorterminal.com/compare/deepseek-search-api-vs-tavily-mcp.md)\n- [Exa API + MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/exa-mcp-vs-tavily-mcp.md)\n- [Firecrawl MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/firecrawl-mcp-vs-tavily-mcp.md)\n- [Kagi Search API vs Tavily API + MCP](https://www.anchorterminal.com/compare/kagi-search-vs-tavily-mcp.md)\n- [Linkup vs Tavily API + MCP](https://www.anchorterminal.com/compare/linkup-vs-tavily-mcp.md)\n- [Parallel Search and Task APIs vs Tavily API + MCP](https://www.anchorterminal.com/compare/parallel-search-api-vs-tavily-mcp.md)\n- [SearchAPI.io vs Tavily API + MCP](https://www.anchorterminal.com/compare/searchapi-io-vs-tavily-mcp.md)\n- [SerpApi vs Tavily API + MCP](https://www.anchorterminal.com/compare/serpapi-vs-tavily-mcp.md)\n- [Serper vs Tavily API + MCP](https://www.anchorterminal.com/compare/serper-vs-tavily-mcp.md)\n- [SerpKite vs Tavily API + MCP](https://www.anchorterminal.com/compare/serpkite-vs-tavily-mcp.md)\n- [Tavily API + MCP vs TinyFish Search](https://www.anchorterminal.com/compare/tavily-mcp-vs-tinyfish-search.md)\n- [Tavily API + MCP vs Valyu](https://www.anchorterminal.com/compare/tavily-mcp-vs-valyu.md)\n- [Tavily API + MCP vs You.com APIs](https://www.anchorterminal.com/compare/tavily-mcp-vs-you-com-api.md)\n- [Fetch (MCP reference server) vs Tavily API + MCP](https://www.anchorterminal.com/compare/fetch-reference-server-vs-tavily-mcp.md)\n- [Grep AI vs Tavily API + MCP](https://www.anchorterminal.com/compare/grep-ai-vs-tavily-mcp.md)\n",
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    "h1": "Web Search Tool on Amazon Bedrock AgentCore vs Tavily API + MCP",
    "image": "https://www.anchorterminal.com/assets/og/compare-agentcore-web-search-vs-tavily-mcp.png",
    "path": "/compare/agentcore-web-search-vs-tavily-mcp",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Web Search Tool on Amazon Bedrock AgentCore vs Tavily (2026)",
    "toc": null,
    "updated": "2026-10-17",
    "url": "https://www.anchorterminal.com/compare/agentcore-web-search-vs-tavily-mcp"
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