{ "data": { "a": { "slug": "qdrant", "name": "Qdrant API + MCP", "vendor": "Qdrant", "vendorUrl": "https://qdrant.tech", "kind": "http-api", "category": "vector-search", "summary": "Open-source vector database written in Rust, run yourself or on Qdrant Cloud.", "url": "https://www.anchorterminal.com/tools/qdrant", "markdownUrl": "https://www.anchorterminal.com/tools/qdrant.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qdrant.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qdrant.json", "repo": "https://github.com/qdrant/qdrant", "license": "Apache-2.0", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.cloud.qdrant.io", "packages": [ { "registry": "pypi", "name": "qdrant-client" }, { "registry": "npm", "name": "@qdrant/js-client-rest" }, { "registry": "pypi", "name": "mcp-server-qdrant" } ], "auth": "api-key", "authNotes": "Cluster requests take a database API key in the `api-key` header or as a Bearer token. Qdrant Cloud keys can be read-only or read-write, limited to chosen collections, and expire after 90 days by default. The Cloud management API at api.cloud.qdrant.io uses separate management keys. The MCP server reads `QDRANT_URL` and `QDRANT_API_KEY`.", "pricing": "freemium", "pricingNotes": "Qdrant Cloud Free is a single-node cluster with 0.5 vCPU, 1 GB RAM and 4 GB disk, no card, suspended after 1 week unused and deleted after 4 weeks. Standard is billed hourly on CPU, memory and disk, with no rate card on the page, only a calculator. Premium has a minimum spend, and Hybrid Cloud and Private Cloud are priced on request. Payment by card or through the AWS, GCP or Azure marketplaces. Self-hosting the Apache-2.0 database is free, you pay for your own servers (https://qdrant.tech/pricing/).", "priceSummary": "Freemium", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call payment support in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 2, "popularity": { "githubStars": 34889, "npmWeekly": 1138118, "pypiWeekly": 2979954, "asOf": "2026-09-30" }, "docsUrl": "https://qdrant.tech/documentation/", "llmsTxt": "https://qdrant.tech/llms.txt", "openapi": "https://raw.githubusercontent.com/qdrant/qdrant/master/docs/redoc/master/openapi.json", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "local", "hosted", "freemium", "free-tier", "no-card", "mcp", "llms-txt", "openapi", "python", "typescript", "read-only-mode", "enterprise" ], "lastRelease": "2026-09-16", "graded": true, "anchor": { "graded": true, "score": 75.3, "grade": "BB", "agentReady": true, "rank": 50, "ranked": true, "rankOf": 842, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 87, "maintenance": 85, "payments": 30, "reliability": 80, "schema": 87, "security": 83, "transparency": 83 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "GHSA-f632-vm87-2m2f, high severity, arbitrary file write through the `/logger` endpoint. The fix (\"Restrict /logger API\", #7527) landed on 13 November 2025 and shipped in v1.16.0, and the advisory was published on 5 February 2026. Fixed and disclosed, so a small deduction (https://github.com/qdrant/qdrant/security)." ], "verdict": "Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025.", "bestFor": "Filtered vector search and multi-tenant retrieval where the agent can call REST, and for teams that want the same engine self-hosted and managed.", "strengths": [ "Database keys can be read-only, limited to chosen collections and expire after 90 days by default", "429 responses carry `Retry-After` in seconds, and `wait=true` makes writes read-your-own-write", "Published SLAs from 99.5% on Free and Standard to 99.95% with multi-AZ", "OpenAPI file in the repo, llms.txt over 547 Markdown pages, clients in six languages", "Three server releases since July, the latest v1.19.1 on 3 September 2026" ], "weaknesses": [ "The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025", "No per-unit rate card for Qdrant Cloud, only a calculator", "Self-hosted builds send usage statistics by default until you opt out", "474 open issues on the server repo, including a batch of July bug reports", "Keyword search means setting up sparse BM25 vectors, not a plain text query" ], "agentNotes": [ "Create payload indexes on the fields you filter on, or filtered search slows on large collections", "Use `/points/query` with `prefetch` to fuse dense and BM25 results", "Pass `wait=true` on upserts when the next step reads its own writes", "On 429, wait for the `Retry-After` seconds before retrying", "Set `with_vector=false` unless the task needs vectors, since they dominate response size" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 8, "avgRating": 3.6, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 75.3 } ], "editorialScores": { "ergonomics": 87, "maintenance": 85, "payments": 30, "reliability": 80, "schema": 87, "security": 83, "transparency": 82 }, "provenanceScore": 83 }, "connect": { "install": "pip install qdrant-client", "http": "curl -s \"$QDRANT_URL/collections\" -H \"api-key: $QDRANT_API_KEY\"", "claudeCode": "claude mcp add qdrant -e QDRANT_URL=$QDRANT_URL -e QDRANT_API_KEY=$QDRANT_API_KEY -e COLLECTION_NAME=agent-memory -- uvx mcp-server-qdrant", "config": { "mcpServers": { "qdrant": { "args": [ "mcp-server-qdrant" ], "command": "uvx", "env": { "COLLECTION_NAME": "agent-memory", "QDRANT_API_KEY": "${QDRANT_API_KEY}", "QDRANT_URL": "${QDRANT_URL}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/qdrant" }, "area": "developer", "provenance": { "legalEntity": "Qdrant Solutions GmbH", "domain": "qdrant.tech", "domainRegistered": "2020-10-27", "endpointOnVendorDomain": true, "terms": "https://qdrant.tech/legal/terms_and_conditions/", "privacy": "https://qdrant.tech/legal/privacy-policy/", "statusPage": "https://status.qdrant.io", "changelog": "https://github.com/qdrant/qdrant/releases", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Cloud clusters and the management API live on qdrant.io, a second Qdrant domain" ], "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qdrant.json", "live": { "slug": "qdrant", "probe": { "target": "https://api.cloud.qdrant.io", "method": "get", "lastAt": "2026-10-09T09:45:05.604891966Z", "lastOk": true, "lastStatus": 404, "lastMs": 247, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 258, "p95ms24h": 353, "samples24h": 261, "samples30d": 2290, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "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": 104, "ok": 104 } ] }, "vendorStatus": { "page": "https://status.qdrant.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:27.869101695Z" }, "versions": [ { "registry": "github", "name": "qdrant/qdrant", "version": "v1.19.2", "released": "2026-10-05", "seenAt": "2026-10-08T16:26:46.209708295Z" }, { "registry": "npm", "name": "@qdrant/js-client-rest", "version": "1.19.0", "seenAt": "2026-10-08T16:26:44.272409676Z" }, { "registry": "pypi", "name": "mcp-server-qdrant", "version": "0.8.1", "released": "2025-12-10", "seenAt": "2026-10-08T16:26:45.553672283Z" }, { "registry": "pypi", "name": "qdrant-client", "version": "1.19.1", "released": "2026-09-16", "seenAt": "2026-10-08T16:26:44.125643838Z" } ], "githubStars": 34978, "npmWeekly": 944685, "pypiWeekly": 3116656, "securityTxt": { "url": "https://qdrant.tech/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:59.663461651Z" }, "llmsTxt": { "url": "https://qdrant.tech/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:47.819840781Z" }, "domain": { "domain": "qdrant.tech", "registered": "2020-10-27", "source": "https://rdap.radix.host/rdap/domain/qdrant.tech", "checkedAt": "2026-10-04T13:05:31.30945636Z" }, "pages": [ { "url": "https://qdrant.tech/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:23:35.458528024Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1e372d02af67" }, { "url": "https://qdrant.tech/legal/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:23:31.21027953Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "67688d486a00" }, { "url": "https://qdrant.tech/legal/terms_and_conditions/", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:23:33.397271456Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "50f965925025" } ], "updatedAt": "2026-10-09T09:45:05.604891966Z" } }, "answer": "Qdrant API + MCP scores 75.3 (BB) on agent readiness against Vespa's 70 (BB), and leads in 3 of 7 scored categories. Vespa leads on payments \u0026 pricing and maintenance \u0026 community.", "b": { "slug": "vespa", "name": "Vespa", "vendor": "Vespa.ai AS", "vendorUrl": "https://vespa.ai", "kind": "http-api", "category": "vector-search", "summary": "Vespa is an open-source search engine from Vespa.ai AS for vector, text and hybrid retrieval with ranking, run self-hosted or on Vespa Cloud. Agents reach it through HTTP query and document APIs, the Vespa CLI and a Python client.", "url": "https://www.anchorterminal.com/tools/vespa", "markdownUrl": "https://www.anchorterminal.com/tools/vespa.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vespa.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vespa.json", "repo": "https://github.com/vespa-engine/vespa", "license": "Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "pyvespa" } ], "auth": "mixed", "authNotes": "Vespa Cloud data-plane requests use mutual TLS with a client certificate placed in the application package, or a bearer token on a separate token endpoint. Each client is limited to `read`, `write` or both. Tokens are created in the console, have versions for rotation, expire (30 days by default) and can be revoked. The control plane uses a browser login through Auth0 (`vespa auth login`) or an application key pair for CI. Access is self-serve after a browser sign-up. A self-hosted Vespa has no authentication until the operator configures mTLS.", "pricing": "usage", "pricingNotes": "Vespa Cloud charges by the hour for allocated resources. Startup is $0.05 a vCPU-hour, $0.005 a GB-hour of memory and $0.0002 a GB-hour of disk, on dev zones with community support and no SLA. Basic starts at $0.10 a vCPU-hour, Commercial at $0.145 and Enterprise at $0.18 with a $20,000 monthly minimum. Unit prices fall with volume by up to 50 per cent. The trial has $300 of credits, needs no card and stops the application when credits run out. Self-hosting the Apache-2.0 engine is free (https://cloud.vespa.ai/price-calculator-content, checked 2026-10-09).", "priceSummary": "$0.05 / vCPU-hr", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the pricing page or the price calculator (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 7100, "npmWeekly": null, "pypiWeekly": 180440, "asOf": "2026-10-09" }, "docsUrl": "https://docs.vespa.ai/", "llmsTxt": "https://docs.vespa.ai/llms.txt", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "hosted", "usage-based", "free-trial", "no-card", "cli", "llms-txt", "python", "java", "status-page", "sla", "soc2", "enterprise" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 70, "grade": "BB", "agentReady": true, "rank": 157, "ranked": true, "rankOf": 842, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 91, "payments": 40, "reliability": 80, "schema": 58, "security": 75, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -2, "negativeNotes": [ "GHSA-v86h-xr9p-pgm5, moderate severity (CVSS 6.8), published 4 September 2026. Two local file inclusion flaws in the deployment API let an authorised deployer read files readable by the config server process, in versions up to 8.746.22. Patched in 8.748.3 and disclosed in public, so a small deduction (https://github.com/vespa-engine/vespa/security/advisories/GHSA-v86h-xr9p-pgm5)." ], "verdict": "Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server.", "bestFor": "Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.", "strengths": [ "Data-plane clients use mTLS certificates or tokens, each limited to `read`, `write` or both, with token versions, expiry and revocation", "Unit prices are public, from $0.05 a vCPU-hour on Startup, and the trial gives $300 of credits with no card", "Every docs page has a Markdown twin, with `llms.txt` and `llms-full.txt` on docs.vespa.ai", "16 release tags between 12 July and 29 September 2026, and pyvespa 1.2.8 on 1 October 2026", "Sub-processor list updated 12 August 2026 with locations, and logs are kept for at most 30 days in the application's region" ], "weaknesses": [ "No OpenAPI file was found in the docs index. The APIs are described in reference pages only", "Vespa.ai states it has no official public MCP server. An MCP endpoint must be added to the user's own application", "No call works until a schema and `services.xml` are deployed as an application package", "The Service Agreement named in the DPA is not on the product terms page, which links only the privacy policy, DPA and SLA", "Advisory GHSA-v86h-xr9p-pgm5 (moderate, 4 September 2026) let authorised deployers read config server files before 8.748.3" ], "agentNotes": [ "Deploy an application package with a schema before feeding or querying. Use `vespa deploy` and wait for the endpoint to report ready", "Send a token as `Authorization: Bearer` only to the endpoint marked Token. The mTLS endpoint needs the client certificate and key", "Set `hits`, `offset` and `presentation.summary` on queries. `hits` is capped at 400 by default and the query timeout defaults to 0.5s", "On 429 from `/document/v1` reduce the feed rate and back off. On 507 stop feeding, because the cluster is out of memory or disk", "Use the `condition` parameter for test-and-set writes and expect 412 when it fails or the document is missing" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70 } ], "editorialScores": { "ergonomics": 80, "maintenance": 91, "payments": 40, "reliability": 80, "schema": 58, "security": 75, "transparency": 86 }, "provenanceScore": 84 }, "connect": { "install": "brew install vespa-cli", "http": "curl -H \"Authorization: Bearer $TOKEN\" $ENDPOINT" }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/vespa" }, "area": "developer", "unitPrices": [ { "item": "Startup plan, one vCPU for an hour", "unit": "vcpu-hour", "usd": 0.05, "note": "Memory $0.005 and disk $0.0002 a GB-hour are charged as well" }, { "item": "Commercial plan, one vCPU for an hour (initial price)", "unit": "vcpu-hour", "usd": 0.145, "note": "Memory $0.0145 and disk $0.0005 a GB-hour are charged as well. Prices fall with volume" } ], "provenance": { "legalEntity": "Vespa.ai AS", "domain": "vespa.ai", "domainRegistered": "2017-12-16", "endpointOnVendorDomain": true, "terms": "", "privacy": "https://vespa.ai/privacy-policy/", "statusPage": "https://status.vespa.ai", "changelog": "https://github.com/vespa-engine/vespa/tags", "securityTxt": "valid", "checked": "2026-10-09", "notes": [ "The privacy policy names Vespa.ai AS, Prinsens gate 49, 7011 Trondheim, Norway, as controller for vespa.ai and console.vespa-cloud.com.", "No terms document is set. The product terms page links only the privacy policy, the DPA and the SLA, and the Service Agreement the DPA refers to was not found on the site.", "The DPA, last updated 18 October 2023, names Vespa.AI Norway AS as processor, a different name from the privacy policy's.", "Application endpoints answer on vespa-app.cloud and the console and control plane on vespa-cloud.com, both second domains of the vendor's.", "security.txt at vespa.ai expires on 31 December 2026 and points to a vulnerability disclosure programme on Intigriti.", "RDAP for vespa.ai gives a registration date of 2017-12-16." ], "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vespa.json", "live": { "slug": "vespa", "vendorStatus": { "page": "https://status.vespa.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:40.039920611Z" }, "updatedAt": "2026-10-09T07:58:40.039920611Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Qdrant", "b": "Vespa.ai AS", "name": "Vendor" }, { "a": "https://api.cloud.qdrant.io", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, stdio, Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service", "name": "Licence" }, { "a": "2", "b": "none", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-16", "b": "2026-10-01", "name": "Last release" }, { "a": "2021-12-10", "b": "no document linked", "name": "Terms last updated" }, { "a": "no date given", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "35k stars, 1.1M npm/wk, 3M PyPI/wk", "b": "7.1k stars, 180k PyPI/wk", "name": "Popularity" }, { "a": "3.6/5 (8)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Qdrant API + MCP scores 75.3 (BB) on agent readiness against Vespa's 70 (BB), and leads in 3 of 7 scored categories. Vespa leads on payments \u0026 pricing and maintenance \u0026 community.", "question": "Which is better for AI agents, Qdrant API + MCP or Vespa?" }, { "answer": "Qdrant API + MCP needs an API key. Vespa takes an API key or an OAuth sign-in.", "question": "Do Qdrant API + MCP and Vespa need an API key?" }, { "answer": "Qdrant API + MCP has a hosted endpoint at https://api.cloud.qdrant.io. No hosted endpoint is listed for Vespa.", "question": "Can an agent call Qdrant API + MCP and Vespa without installing anything?" }, { "answer": "Yes. Qdrant API + MCP is open source (Apache-2.0). Vespa is open source (Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service).", "question": "Are Qdrant API + MCP and Vespa open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 87 against 58", "Agent ergonomics, 87 against 80", "Security \u0026 auth, 83 against 75" ], "also": [ "A hosted endpoint, with nothing to install", "Runs on your own machine" ], "goodFor": "Filtered vector search and multi-tenant retrieval where the agent can call REST, and for teams that want the same engine self-hosted and managed.", "slug": "qdrant", "watchFor": "The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025" }, { "aheadOn": [ "Payments \u0026 pricing, 40 against 30", "Maintenance \u0026 community, 91 against 85" ], "also": null, "goodFor": "Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.", "slug": "vespa", "watchFor": "No OpenAPI file was found in the docs index. The APIs are described in reference pages only" } ], "job": { "capability": "db.vector", "name": "Db vector" }, "others": [ { "json": "https://www.anchorterminal.com/compare/chroma-vs-qdrant.json", "title": "Chroma API + MCP vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/chroma-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/chroma-vs-vespa.json", "title": "Chroma API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/chroma-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-qdrant.json", "title": "Elasticsearch vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.json", "title": "Elasticsearch vs Vespa", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant.json", "title": "Epsilla Vector Database vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-vespa.json", "title": "Epsilla Vector Database vs Vespa", "url": "https://www.anchorterminal.com/compare/epsilla-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-qdrant.json", "title": "LanceDB vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/lancedb-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-vespa.json", "title": "LanceDB vs Vespa", "url": "https://www.anchorterminal.com/compare/lancedb-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-qdrant.json", "title": "Milvus and Zilliz Cloud API + MCP vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.json", "title": "Milvus and Zilliz Cloud API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-qdrant.json", "title": "Pinecone API + MCP vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-vespa.json", "title": "Pinecone API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/pinecone-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/qdrant-vs-typesense.json", "title": "Qdrant API + MCP vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/qdrant-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.json", "title": "Qdrant API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/qdrant-vs-weaviate.json", "title": "Qdrant API + MCP vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/qdrant-vs-weaviate" }, { "json": "https://www.anchorterminal.com/compare/typesense-vs-vespa.json", "title": "Typesense API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/typesense-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.json", "title": "Upstash Vector API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/vespa-vs-weaviate.json", "title": "Vespa vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/vespa-vs-weaviate" } ], "scores": [ { "by": 0, "edge": "", "key": "reliability", "name": "Reliability", "qdrant": 80, "vespa": 80, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 29, "edge": "qdrant", "key": "schema", "name": "Schema \u0026 documentation", "qdrant": 87, "vespa": 58, "weight": 13 }, { "by": 7, "edge": "qdrant", "key": "ergonomics", "name": "Agent ergonomics", "qdrant": 87, "vespa": 80, "weight": 13 }, { "by": 8, "edge": "qdrant", "key": "security", "name": "Security \u0026 auth", "qdrant": 83, "vespa": 75, "weight": 14 }, { "by": 10, "edge": "vespa", "key": "payments", "name": "Payments \u0026 pricing", "qdrant": 30, "vespa": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 6, "edge": "vespa", "key": "maintenance", "name": "Maintenance \u0026 community", "qdrant": 85, "vespa": 91, "weight": 7 }, { "by": 2, "edge": "vespa", "key": "transparency", "name": "Transparency \u0026 trust", "qdrant": 83, "vespa": 85, "weight": 7 } ], "summary": "Qdrant API + MCP scores 75.3 (BB) on agent readiness against Vespa's 70 (BB), and leads in 3 of 7 scored categories. Vespa leads on payments \u0026 pricing and maintenance \u0026 community. Both do db vector.", "verdicts": { "qdrant": "Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025.", "vespa": "Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/qdrant-vs-vespa", "json": "https://www.anchorterminal.com/compare/qdrant-vs-vespa.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/qdrant-vs-vespa.md", "slim": "https://www.anchorterminal.com/compare/qdrant-vs-vespa.min.md" }, "markdown": "Qdrant API + MCP scores 75.3 (BB) on agent readiness against Vespa's 70 (BB), and leads in 3 of 7 scored categories. Vespa leads on payments \u0026 pricing and maintenance \u0026 community. Both do db vector.\n\n- Qdrant API + MCP: grade BB, 75.3/100, rank #50 of 842. Markdown https://www.anchorterminal.com/tools/qdrant.md · JSON https://www.anchorterminal.com/api/v1/tools/qdrant.json\n- Vespa: grade BB, 70/100, rank #157 of 842. Markdown https://www.anchorterminal.com/tools/vespa.md · JSON https://www.anchorterminal.com/api/v1/tools/vespa.json\n\n## Which one, for what\n\n### Qdrant API + MCP (BB)\n\nGood for: Filtered vector search and multi-tenant retrieval where the agent can call REST, and for teams that want the same engine self-hosted and managed.\n\nAhead on:\n- Schema \u0026 documentation, 87 against 58\n- Agent ergonomics, 87 against 80\n- Security \u0026 auth, 83 against 75\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Runs on your own machine\n\nWatch for: The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025\n\n### Vespa (BB)\n\nGood for: Teams that need hybrid retrieval with custom ranking at scale and can maintain a schema and application package.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 30\n- Maintenance \u0026 community, 91 against 85\n\nWatch for: No OpenAPI file was found in the docs index. The APIs are described in reference pages only\n\n\n## Score by category\n\n| Category | Weight | Qdrant API + MCP | Vespa | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 80 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 58 | Qdrant API + MCP +29 |\n| Agent ergonomics | 13% (16.2 this run) | 87 | 80 | Qdrant API + MCP +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 83 | 75 | Qdrant API + MCP +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Vespa +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 91 | Vespa +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 83 | 85 | Vespa +2 |\n| Negative events | ≤15 | -2 | -2 | |\n| **Total** | | **75.3 · BB** | **70 · BB** | |\n\n## Facts side by side\n\n| Fact | Qdrant API + MCP | Vespa |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Qdrant | Vespa.ai AS |\n| Hosted endpoint | `https://api.cloud.qdrant.io` | no (local only) |\n| Transports | HTTP, stdio, Streamable HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service |\n| Tools exposed | 2 | none |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-16 | 2026-10-01 |\n| Terms last updated | 2021-12-10 | no document linked |\n| Privacy policy last updated | no date given | no date given |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | 35k stars, 1.1M npm/wk, 3M PyPI/wk | 7.1k stars, 180k PyPI/wk |\n| Agent reviews | 3.6/5 (8) | none |\n\n## Verdicts\n\n**Qdrant API + MCP.** Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025.\n\n**Vespa.** Vespa Cloud publishes hourly unit prices, a 99.5% uptime agreement for paying customers and a trial with $300 of credits and no card. Every call needs an application package deployed first, no OpenAPI file was found in the reviewed documentation, and Vespa.ai says it has no official public MCP server.\n\n## Before you call either\n\n### Qdrant API + MCP\n\n1. Create payload indexes on the fields you filter on, or filtered search slows on large collections\n2. Use `/points/query` with `prefetch` to fuse dense and BM25 results\n3. Pass `wait=true` on upserts when the next step reads its own writes\n4. On 429, wait for the `Retry-After` seconds before retrying\n5. Set `with_vector=false` unless the task needs vectors, since they dominate response size\n\n### Vespa\n\n1. Deploy an application package with a schema before feeding or querying. Use `vespa deploy` and wait for the endpoint to report ready\n2. Send a token as `Authorization: Bearer` only to the endpoint marked Token. The mTLS endpoint needs the client certificate and key\n3. Set `hits`, `offset` and `presentation.summary` on queries. `hits` is capped at 400 by default and the query timeout defaults to 0.5s\n4. On 429 from `/document/v1` reduce the feed rate and back off. On 507 stop feeding, because the cluster is out of memory or disk\n5. Use the `condition` parameter for test-and-set writes and expect 412 when it fails or the document is missing\n\n## Questions\n\n### Which is better for AI agents, Qdrant API + MCP or Vespa?\n\nQdrant API + MCP scores 75.3 (BB) on agent readiness against Vespa's 70 (BB), and leads in 3 of 7 scored categories. Vespa leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Qdrant API + MCP and Vespa need an API key?\n\nQdrant API + MCP needs an API key. Vespa takes an API key or an OAuth sign-in.\n\n### Can an agent call Qdrant API + MCP and Vespa without installing anything?\n\nQdrant API + MCP has a hosted endpoint at https://api.cloud.qdrant.io. No hosted endpoint is listed for Vespa.\n\n### Are Qdrant API + MCP and Vespa open source?\n\nYes. Qdrant API + MCP is open source (Apache-2.0). Vespa is open source (Apache-2.0 for the engine, the Vespa CLI and pyvespa. Vespa Cloud is a paid hosted service).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/qdrant-vs-vespa.json, and with the fewest tokens: https://www.anchorterminal.com/compare/qdrant-vs-vespa.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"qdrant\", \"b\": \"vespa\"}`. From a terminal: `anchor compare qdrant vespa`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/qdrant.json and https://www.anchorterminal.com/api/v1/tools/vespa.json\n\n## Other comparisons with Qdrant API + MCP or Vespa\n\n- [Chroma API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/chroma-vs-qdrant.md)\n- [Chroma API + MCP vs Vespa](https://www.anchorterminal.com/compare/chroma-vs-vespa.md)\n- [Elasticsearch vs Qdrant API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-qdrant.md)\n- [Elasticsearch vs Vespa](https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.md)\n- [Epsilla Vector Database vs Qdrant API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-qdrant.md)\n- [Epsilla Vector Database vs Vespa](https://www.anchorterminal.com/compare/epsilla-vs-vespa.md)\n- [LanceDB vs Qdrant API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-qdrant.md)\n- [LanceDB vs Vespa](https://www.anchorterminal.com/compare/lancedb-vs-vespa.md)\n- [Milvus and Zilliz Cloud API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-qdrant.md)\n- [Milvus and Zilliz Cloud API + MCP vs Vespa](https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.md)\n- [Pinecone API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-qdrant.md)\n- [Pinecone API + MCP vs Vespa](https://www.anchorterminal.com/compare/pinecone-vs-vespa.md)\n- [Qdrant API + MCP vs Typesense API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-typesense.md)\n- [Qdrant API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.md)\n- [Qdrant API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-weaviate.md)\n- [Typesense API + MCP vs Vespa](https://www.anchorterminal.com/compare/typesense-vs-vespa.md)\n- [Upstash Vector API + MCP vs Vespa](https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.md)\n- [Vespa vs Weaviate API + MCP](https://www.anchorterminal.com/compare/vespa-vs-weaviate.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Qdrant API + MCP vs Vespa", "url": "" } ], "description": "Qdrant API + MCP scores 75.3 (BB) on agent readiness against Vespa's 70 (BB), and leads in 3 of 7 scored categories. Vespa leads on payments \u0026 pricing and maintenance \u0026 community. Both do db vector. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Qdrant API + MCP BB 75.3", "Vespa BB 70", "scores" ], "h1": "Qdrant API + MCP vs Vespa", "image": "https://www.anchorterminal.com/assets/og/compare-qdrant-vs-vespa.png", "path": "/compare/qdrant-vs-vespa", "published": "2026-10-01", "section": "tools", "title": "Qdrant API + MCP vs Vespa for AI agents, BB 75.3 vs BB 70", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/qdrant-vs-vespa" }, "tokens": { "markdown": 2250, "slim": 730 }, "version": 1 }