{
  "data": {
    "a": {
      "slug": "exa-mcp",
      "name": "Exa API + MCP",
      "vendor": "Exa",
      "vendorUrl": "https://exa.ai",
      "kind": "mcp",
      "category": "search",
      "summary": "Exa's REST API over its own web index, with the official MCP server in front of it.",
      "url": "https://www.anchorterminal.com/tools/exa-mcp",
      "markdownUrl": "https://www.anchorterminal.com/tools/exa-mcp.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/exa-mcp.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/exa-mcp.json",
      "repo": "https://github.com/exa-labs/exa-mcp-server",
      "license": "MIT",
      "transports": [
        "stdio",
        "streamable-http",
        "http"
      ],
      "remoteUrl": "https://mcp.exa.ai/mcp",
      "packages": [
        {
          "registry": "npm",
          "name": "exa-js"
        },
        {
          "registry": "pypi",
          "name": "exa-py"
        },
        {
          "registry": "npm",
          "name": "exa-mcp-server"
        }
      ],
      "auth": "mixed",
      "authNotes": "API key as `Authorization: Bearer` or `x-api-key` header, created at dashboard.exa.ai. POST /search and /contents also accept an x402 `PAYMENT-SIGNATURE` header instead of a key. MCP server: Anonymous use with rate limits; optional API key via ?exaApiKey=, Authorization: Bearer or x-api-key header; OAuth login at https://mcp.exa.ai/mcp?login.",
      "pricing": "freemium",
      "pricingNotes": "$10 free credit a month (resets on the 1st) plus a one-time $10 sign-up bonus, no card. Pay as you go per 1,000 requests, instant search $4, fast and auto $7, deep-lite and deep $12, deep-reasoning $15, each with up to 10 results and $1 per 1,000 extra results. Contents $1 per 1,000 pages per content type, answer $5 per 1,000, monitors $15 per 1,000. Agent API $0.012 to $1.00 a run by effort. Enterprise volume pricing by quote (https://exa.ai/pricing).",
      "priceSummary": "$0.007 / call",
      "where": "both",
      "x402": {
        "level": "yes",
        "evidence": "Official 'Pay with x402' guide. POST /search and /contents accept x402 with USDC on Base (eip155:8453) or Solana. An unpaid POST /search returned 402 on 2026-09-30 (https://exa.ai/docs/integrations/payments/x402/quickstart.md)",
        "endpoints": [
          {
            "url": "https://api.exa.ai/search",
            "priceUsd": 0.007,
            "network": "eip155:8453"
          },
          {
            "url": "https://api.exa.ai/contents",
            "priceUsd": 0.001,
            "network": "eip155:8453"
          }
        ]
      },
      "toolCount": 4,
      "popularity": {
        "githubStars": 4900,
        "npmWeekly": 1076635,
        "pypiWeekly": 1406207,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://exa.ai/docs",
      "llmsTxt": "https://exa.ai/docs/llms.txt",
      "openapi": "https://exa.ai/docs/exa-spec.yaml",
      "registryName": "ai.exa/exa",
      "capabilities": [
        "web.search",
        "web.fetch",
        "web.extract",
        "search.answer",
        "search.research",
        "search.news"
      ],
      "tags": [
        "official",
        "hosted",
        "local",
        "open-source",
        "x402",
        "freemium",
        "llms-txt",
        "no-card",
        "openapi",
        "python",
        "typescript",
        "enterprise",
        "webhooks",
        "mcp"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 66.1,
        "grade": "B",
        "agentReady": false,
        "rank": 163,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 6,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 96,
          "maintenance": 88,
          "payments": 90,
          "reliability": 67,
          "schema": 86,
          "security": 43,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -9,
        "negativeNotes": [
          "2026-04-15. Exa's own fix (#292) says Agnost analytics on the hosted MCP captured headers, query parameters and full URLs from every request and sent them to api.agnost.ai, which leaked user API keys passed as `x-api-key` or `?exaApiKey=`. Fixed the same day, but disclosed only in the commit message, with no advisory or rotation notice that we found. Decayed for the fix, so -6 (https://github.com/exa-labs/exa-mcp-server/commit/49797a5376217da506853b12163f21db9f9c95b8)",
          "2026-10-01. The MCP server calls Agnost's `trackMCP` on startup in both the hosted and the npm stdio builds, with no README mention and no opt-out. Inputs, outputs and errors are switched off, so the events are tool names and timings. -3 (https://github.com/exa-labs/exa-mcp-server/blob/main/src/mcp-handler.ts)"
        ],
        "verdict": "x402 on /search and /contents in USDC on Base or Solana, so an agent can pay per call with no account. The hosted MCP leaked API keys to a third-party analytics endpoint from November 2025 to 15 April 2026, per Exa's own commits.",
        "strengths": [
          "x402 on /search and /contents in USDC on Base or Solana, so an agent can pay per call with no account",
          "Two default MCP tools with about 1,250 characters of descriptions, and every tool marked read-only and idempotent",
          "Keys can be minted by API with their own rate limit and budget",
          "Public OpenAPI, llms.txt, an error-codes page and current Python and TypeScript SDKs",
          "$10 of credit a month with no card"
        ],
        "weaknesses": [
          "The hosted MCP leaked API keys to a third-party analytics endpoint from November 2025 to 15 April 2026, per Exa's own commits",
          "Agnost usage analytics in the MCP server with no disclosure or opt-out",
          "The privacy policy says query data trains Exa's models and gives no retention period",
          "No security.txt, no SECURITY.md and no prompt-injection guidance",
          "Agents API had 4 hours 56 minutes of elevated run failures on 21 to 22 September"
        ],
        "agentNotes": [
          "Send the key as `x-api-key` or a Bearer header, never `?exaApiKey=` in the MCP URL",
          "Ask for highlights rather than full text, and cap `maxCharacters` on `web_fetch_exa`",
          "Request only the results you'll read. More than 10 costs extra, and x402 calls stop at 10",
          "On 429, honour `Retry-After`. The QPS limit is shared by every key on the team",
          "Add `?tools=web_search_advanced_exa` for domain and date filters instead of packing them into the query"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 66.1
          }
        ],
        "editorialScores": {
          "ergonomics": 96,
          "maintenance": 88,
          "payments": 90,
          "reliability": 67,
          "schema": 86,
          "security": 43,
          "transparency": 44
        },
        "provenanceScore": 86
      },
      "connect": {
        "http": "curl -s -X POST https://api.exa.ai/search \\\n  -H \"Authorization: Bearer $EXA_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"query\":\"recent techniques for improving retrieval in RAG systems\",\"type\":\"auto\",\"contents\":{\"highlights\":true}}'",
        "claudeCode": "claude mcp add --transport http exa https://mcp.exa.ai/mcp",
        "config": {
          "mcpServers": {
            "exa": {
              "url": "https://mcp.exa.ai/mcp"
            }
          }
        },
        "x402": "curl -s https://api.exa.ai/search -H 'content-type: application/json' -d '{\"query\":\"x402 facilitators\",\"numResults\":5}' -i\n# HTTP/1.1 402 Payment Required\n# PAYMENT-REQUIRED: \u003cbase64 JSON: accepts[{scheme:\"exact\",network:\"eip155:8453\",amount:\"7000\",asset:USDC,payTo:...}]\u003e\n# retry with PAYMENT-SIGNATURE: \u003cbase64 signed authorization\u003e"
      },
      "letme": {
        "capability": "https://letme.dev/web.search",
        "tool": "https://letme.dev/exa-mcp"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Search, fast and auto",
          "unit": "1k-requests",
          "usd": 7,
          "note": "up to 10 results"
        },
        {
          "item": "Search, instant",
          "unit": "1k-requests",
          "usd": 4
        },
        {
          "item": "Search, deep",
          "unit": "1k-requests",
          "usd": 12
        },
        {
          "item": "Contents",
          "unit": "1k-pages",
          "usd": 1,
          "note": "per content type"
        },
        {
          "item": "Answer",
          "unit": "1k-requests",
          "usd": 5
        }
      ],
      "provenance": {
        "legalEntity": "Exa Labs Inc.",
        "domain": "exa.ai",
        "domainRegistered": "2017-12-16",
        "endpointOnVendorDomain": true,
        "terms": "https://exa.ai/assets/Exa_Labs_Terms_of_Service.pdf",
        "privacy": "https://exa.ai/privacy-policy",
        "statusPage": "https://status.exa.ai",
        "changelog": "https://exa.ai/docs/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "score": 86
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/exa-mcp.json",
      "live": {
        "slug": "exa-mcp",
        "probe": {
          "target": "https://mcp.exa.ai/mcp",
          "method": "mcp-initialize",
          "lastAt": "2026-10-04T23:48:08.037640121Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 174,
          "lastNote": "initialize answered",
          "authRequired": false,
          "uptime24h": 97.79,
          "uptime30d": 99.71,
          "p50ms24h": 193,
          "p95ms24h": 269,
          "samples24h": 272,
          "samples30d": 2054,
          "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": 270,
              "ok": 264
            }
          ],
          "outages": [
            {
              "start": "2026-10-04T18:58:14.45236595Z",
              "end": "2026-10-04T19:19:43.996268604Z",
              "note": "HTTP 503 server error"
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.exa.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:00.61670262Z"
        },
        "versions": [
          {
            "registry": "mcp-registry",
            "name": "ai.exa/exa",
            "version": "3.4.1",
            "seenAt": "2026-10-04T23:42:40.113054682Z"
          },
          {
            "registry": "npm",
            "name": "exa-js",
            "version": "2.25.0",
            "seenAt": "2026-10-04T16:26:40.996246762Z"
          },
          {
            "registry": "npm",
            "name": "exa-mcp-server",
            "version": "3.4.1",
            "seenAt": "2026-10-04T16:26:43.524358493Z"
          },
          {
            "registry": "pypi",
            "name": "exa-py",
            "version": "2.25.0",
            "released": "2026-10-01",
            "seenAt": "2026-10-04T16:26:43.326132646Z"
          }
        ],
        "githubStars": 5076,
        "npmWeekly": 1194589,
        "pypiWeekly": 1640774,
        "securityTxt": {
          "url": "https://exa.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:54.839347566Z"
        },
        "llmsTxt": {
          "url": "https://exa.ai/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:45.287542105Z"
        },
        "domain": {
          "domain": "exa.ai",
          "registered": "2017-12-16",
          "source": "https://rdap.identitydigital.services/rdap/domain/exa.ai",
          "checkedAt": "2026-10-04T13:07:21.135051369Z"
        },
        "pages": [
          {
            "url": "https://exa.ai/docs/changelog",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:34.317077001Z",
            "changedAt": "2026-09-28T13:07:17.414087539Z",
            "fingerprint": "a71308f03083"
          },
          {
            "url": "https://exa.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:36.568768412Z",
            "changedAt": "2026-09-29T13:08:44.895658486Z",
            "fingerprint": "8e3e8655bf54"
          },
          {
            "url": "https://exa.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:38.590865068Z",
            "changedAt": "2026-10-03T15:32:45.957716914Z",
            "fingerprint": "b413e075f978"
          }
        ],
        "mcpTools": {
          "url": "https://mcp.exa.ai/mcp",
          "checkedAt": "2026-10-04T22:19:33.113260784Z",
          "status": "ok",
          "protocol": "2025-11-25",
          "tools": [
            {
              "name": "web_search_exa",
              "description": "Search the web for any topic and get clean, ready-to-use content.\n\n      Best for: Finding current information, news, facts, people, companies, or answering questions about any topic.\n      Returns: Clean text content from top search results.\n\n      Query tips:\n      describe the ideal page, not keywords. \"blog post comparing React and Vue performance\" not \"React vs Vue\".\n      Use category:people / category:company to search through Linkedin profiles / companies respectively.\n      If highlights are insufficient, follow up with web_fetch_exa on the best URLs.",
              "inputSchema": {
                "$schema": "http://json-schema.org/draft-07/schema#",
                "additionalProperties": false,
                "properties": {
                  "numResults": {
                    "description": "Number of search results to return (default: 10).",
                    "type": "number"
                  },
                  "objective": {
                    "description": "Goal for this search turn; say which documents should rank first, which should be excluded, and what specific facts or figures to pull from them.",
                    "maxLength": 4096,
                    "minLength": 1,
                    "type": "string"
                  },
                  "query": {
                    "description": "Natural language search query. Should be a semantically rich description of the ideal page, not just keywords. Optionally include category:\u003ctype\u003e (company, people) to focus results — e.g. 'category:people John Doe software engineer'.",
                    "minLength": 1,
                    "type": "string"
                  }
                },
                "required": [
                  "query",
                  "objective"
                ],
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": true,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            },
            {
              "name": "web_fetch_exa",
              "description": "Read a webpage's full content as clean markdown. Use after web_search_exa when highlights are insufficient or to read any URL.\n\nBest for: Extracting full content from known URLs. Batch multiple URLs in one call.\nReturns: Clean text content and metadata from the page(s).",
              "inputSchema": {
                "$schema": "http://json-schema.org/draft-07/schema#",
                "additionalProperties": false,
                "properties": {
                  "maxCharacters": {
                    "description": "Maximum characters to extract per page (default: 3000)",
                    "minimum": 1,
                    "type": "number"
                  },
                  "urls": {
                    "description": "URLs to read. Batch multiple URLs in one call.",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                },
                "required": [
                  "urls"
                ],
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": true,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            }
          ],
          "schemaTokens": 593,
          "changedAt": "2026-09-28T21:55:38.894181746Z",
          "check": {
            "checker": "anchor-check/1.0",
            "totalTokens": 593,
            "counts": {
              "error": 0,
              "note": 1,
              "warn": 0
            },
            "findings": [
              {
                "rule": "TC24",
                "severity": "note",
                "message": "2 of 2 tools have no outputSchema",
                "fix": "Declare outputSchema for tools that return structured data, and return structuredContent that matches it."
              }
            ]
          }
        },
        "updatedAt": "2026-10-04T23:48:08.037640121Z"
      }
    },
    "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": 6,
      "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": "2026-09-18",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 77.2,
        "grade": "BB",
        "agentReady": true,
        "rank": 20,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 1,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 85,
          "payments": 75,
          "reliability": 90,
          "schema": 89,
          "security": 52,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "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.",
        "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 feedback tool's definition is longer than the search tool's",
          "Privacy policy lets query data improve future responses unless a contract says otherwise, with no zero-retention option found",
          "No SLA, security.txt or deprecation policy found"
        ],
        "agentNotes": [
          "Try `X-Tavily-Access-Mode: keyless` first for search and extract, then switch to a key or x402 when the limit hits",
          "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": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 77.2
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 85,
          "payments": 75,
          "reliability": 90,
          "schema": 89,
          "security": 52,
          "transparency": 47
        },
        "provenanceScore": 82
      },
      "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": "2026-09-30",
        "score": 82
      },
      "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": "2026-10-04T23:48:16.746669048Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 249,
          "lastNote": "initialize answered",
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 257,
          "p95ms24h": 305,
          "samples24h": 272,
          "samples30d": 2054,
          "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": 270,
              "ok": 270
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.tavily.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-04T23:49:29.330470736Z"
        },
        "versions": [
          {
            "registry": "mcp-registry",
            "name": "io.github.tavily-ai/tavily-mcp",
            "version": "0.2.15",
            "seenAt": "2026-10-04T23:42:40.113054682Z"
          },
          {
            "registry": "npm",
            "name": "@tavily/core",
            "version": "0.7.13",
            "seenAt": "2026-10-04T16:41:18.596538179Z"
          },
          {
            "registry": "npm",
            "name": "tavily-mcp",
            "version": "0.2.22",
            "seenAt": "2026-10-04T16:41:19.547913482Z"
          },
          {
            "registry": "pypi",
            "name": "tavily-python",
            "version": "0.8.4",
            "released": "2026-09-18",
            "seenAt": "2026-10-04T16:41:19.43866146Z"
          }
        ],
        "githubStars": 2416,
        "npmWeekly": 472577,
        "pypiWeekly": 1688928,
        "securityTxt": {
          "url": "https://tavily.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:39.406853105Z"
        },
        "llmsTxt": {
          "url": "https://docs.tavily.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:18:17.194149771Z"
        },
        "domain": {
          "domain": "tavily.com",
          "registered": "2023-04-13",
          "source": "https://rdap.verisign.com/com/v1/domain/tavily.com",
          "checkedAt": "2026-10-04T13:10:11.715455706Z"
        },
        "pages": [
          {
            "url": "https://docs.tavily.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:07.445190355Z",
            "changedAt": "2026-10-01T13:13:02.472584343Z",
            "fingerprint": "b80e278c1058"
          },
          {
            "url": "https://www.tavily.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:52:25.606932727Z",
            "changedAt": "2026-10-01T13:18:40.634970947Z",
            "fingerprint": "a7eb93565f03"
          },
          {
            "url": "https://www.tavily.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:52:27.748065371Z",
            "changedAt": "2026-10-01T13:18:42.856868801Z",
            "fingerprint": "7d1afba1cbc9"
          },
          {
            "url": "https://www.tavily.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:52:29.801047363Z",
            "changedAt": "2026-10-01T13:18:44.802104507Z",
            "fingerprint": "14aecf61290a"
          }
        ],
        "mcpTools": {
          "url": "https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e",
          "checkedAt": "2026-10-04T22:20:00.813367628Z",
          "status": "ok",
          "protocol": "2026-07-28",
          "tools": [
            {
              "name": "tavily_search",
              "title": "Tavily Search",
              "description": "Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.",
              "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": {
                    "const": "general",
                    "default": "general",
                    "description": "The category of the search. This will determine which of our agents will be used for the search",
                    "type": "string"
                  }
                },
                "required": [
                  "query"
                ],
                "type": "object"
              },
              "outputSchema": {
                "additionalProperties": true,
                "type": "object"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            },
            {
              "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"
              },
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": true,
                "readOnlyHint": true
              }
            },
            {
              "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
              }
            },
            {
              "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": 2262,
          "changedAt": "2026-09-28T21:55:54.996628221Z",
          "check": {
            "checker": "anchor-check/1.0",
            "totalTokens": 2262,
            "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": "2026-10-04T23:49:29.330470736Z"
      }
    },
    "summary": "Tavily API + MCP has a score of 77.2 (BB) against Exa API + MCP's 66.1 (B). Both do web search. The largest gap is reliability, 23 points. Exa API + MCP accepts x402. Tavily API + MCP doesn't."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/exa-mcp-vs-tavily-mcp",
    "json": "https://www.anchorterminal.com/compare/exa-mcp-vs-tavily-mcp.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/exa-mcp-vs-tavily-mcp.md",
    "slim": "https://www.anchorterminal.com/compare/exa-mcp-vs-tavily-mcp.min.md"
  },
  "markdown": "Tavily API + MCP has a score of 77.2 (BB) against Exa API + MCP's 66.1 (B). Both do web search. The largest gap is reliability, 23 points. Exa API + MCP accepts x402. Tavily API + MCP doesn't.\n\n- Exa API + MCP: grade B, 66.1/100, rank #163 of 452. Markdown https://www.anchorterminal.com/tools/exa-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/exa-mcp.json\n- Tavily API + MCP: grade BB, 77.2/100, rank #20 of 452. Markdown https://www.anchorterminal.com/tools/tavily-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/tavily-mcp.json\n\n## Which one, for what\n\nPick Exa API + MCP for agent ergonomics (+15), payments \u0026 pricing (+15).\n\nPick Tavily API + MCP for reliability (+23), security \u0026 auth (+9).\n\n## Score by category\n\n| Category | Weight | Exa API + MCP | Tavily API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 67 | 90 | Tavily API + MCP +23 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 86 | 89 | Tavily API + MCP +3 |\n| Agent ergonomics | 13% (16.2 this run) | 96 | 81 | Exa API + MCP +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 43 | 52 | Tavily API + MCP +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 90 | 75 | Exa API + MCP +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 88 | 85 | Exa API + MCP +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 65 | even |\n| Negative events | ≤15 | -9 | 0 | |\n| **Total** | | **66.1 · B** | **77.2 · BB** | |\n\n## Facts side by side\n\n| Fact | Exa API + MCP | Tavily API + MCP |\n| --- | --- | --- |\n| Kind | MCP server | MCP server |\n| Vendor | Exa | Tavily |\n| Hosted endpoint | `https://mcp.exa.ai/mcp` | `https://mcp.tavily.com/mcp/?tavilyApiKey=\u003ckey\u003e` |\n| Transports | stdio, Streamable HTTP, HTTP | stdio, Streamable HTTP, HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | yes, from $0.007/call | payer tooling only |\n| Licence | MIT | MIT |\n| Tools exposed | 4 | 6 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| MCP registry | `ai.exa/exa` | `io.github.tavily-ai/tavily-mcp` |\n| Last release | 2026-10-01 | 2026-09-18 |\n| Popularity | 4.9k stars, 1.1M npm/wk, 1.4M PyPI/wk | 2.4k stars, 452k npm/wk, 1.6M PyPI/wk |\n| Agent reviews | 4.5/5 (2) | 3.6/5 (8) |\n\n## Verdicts\n\n**Exa API + MCP.** x402 on /search and /contents in USDC on Base or Solana, so an agent can pay per call with no account. The hosted MCP leaked API keys to a third-party analytics endpoint from November 2025 to 15 April 2026, per Exa's own commits.\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### Exa API + MCP\n\n1. Send the key as `x-api-key` or a Bearer header, never `?exaApiKey=` in the MCP URL\n2. Ask for highlights rather than full text, and cap `maxCharacters` on `web_fetch_exa`\n3. Request only the results you'll read. More than 10 costs extra, and x402 calls stop at 10\n4. On 429, honour `Retry-After`. The QPS limit is shared by every key on the team\n5. Add `?tools=web_search_advanced_exa` for domain and date filters instead of packing them into the query\n\n### Tavily API + MCP\n\n1. Try `X-Tavily-Access-Mode: keyless` first for search and extract, then switch to a key or x402 when the limit hits\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## Other comparisons with Exa API + MCP or Tavily API + MCP\n\n- [Brave Search API + MCP vs Exa API + MCP](https://www.anchorterminal.com/compare/brave-search-mcp-vs-exa-mcp.md)\n- [Brave Search API + MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/brave-search-mcp-vs-tavily-mcp.md)\n- [Exa API + MCP vs Firecrawl MCP](https://www.anchorterminal.com/compare/exa-mcp-vs-firecrawl-mcp.md)\n- [Exa API + MCP vs Linkup](https://www.anchorterminal.com/compare/exa-mcp-vs-linkup.md)\n- [Exa API + MCP vs Parallel Search and Task APIs](https://www.anchorterminal.com/compare/exa-mcp-vs-parallel-search-api.md)\n- [Exa API + MCP vs SearchAPI.io](https://www.anchorterminal.com/compare/exa-mcp-vs-searchapi-io.md)\n- [Exa API + MCP vs SerpApi](https://www.anchorterminal.com/compare/exa-mcp-vs-serpapi.md)\n- [Exa API + MCP vs Serper](https://www.anchorterminal.com/compare/exa-mcp-vs-serper.md)\n- [Exa API + MCP vs Valyu](https://www.anchorterminal.com/compare/exa-mcp-vs-valyu.md)\n- [Exa API + MCP vs You.com APIs](https://www.anchorterminal.com/compare/exa-mcp-vs-you-com-api.md)\n- [Firecrawl MCP vs Tavily API + MCP](https://www.anchorterminal.com/compare/firecrawl-mcp-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- [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- [Exa API + MCP vs Fetch (MCP reference server)](https://www.anchorterminal.com/compare/exa-mcp-vs-fetch-reference-server.md)\n- [Fetch (MCP reference server) vs Tavily API + MCP](https://www.anchorterminal.com/compare/fetch-reference-server-vs-tavily-mcp.md)\n",
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        "name": "Exa API + MCP vs Tavily API + MCP",
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    "description": "Tavily API + MCP has a score of 77.2 (BB) against Exa API + MCP's 66.1 (B). Both do web search. The largest gap is reliability, 23 points. Exa API + MCP accepts x402. Tavily API + MCP doesn't. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Exa API + MCP vs Tavily API + MCP for AI agents, B 66.1 vs BB 77.2",
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