{ "data": { "a": { "slug": "meilisearch", "name": "Meilisearch", "vendor": "Meilisearch", "vendorUrl": "https://www.meilisearch.com", "kind": "http-api", "category": "vector-search", "summary": "Open-source search engine from Meili SAS in Paris with typo-tolerant keyword search, vector and hybrid search, filters and facets. It runs self-hosted or as Meilisearch Cloud, with a REST API, SDKs and an experimental built-in MCP route.", "url": "https://www.anchorterminal.com/tools/meilisearch", "markdownUrl": "https://www.anchorterminal.com/tools/meilisearch.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/meilisearch.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/meilisearch.json", "repo": "https://github.com/meilisearch/meilisearch", "license": "MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1", "transports": [ "http" ], "packages": [ { "registry": "npm", "name": "meilisearch" }, { "registry": "pypi", "name": "meilisearch" } ], "auth": "api-key", "authNotes": "Every route except `/health` takes an API key as `Authorization: Bearer`. Keys are limited to named actions (`search`, `documents.add`, `indexes.get` and others) and to named indexes, with an optional expiry, and are created through `/keys` with the master key. Tenant tokens are short-lived tokens signed from a key that embed search filters for one user. A Cloud project is created by a person signed in at cloud.meilisearch.com, which generates the master key. The MCP route takes the same Bearer key and has no OAuth flow.", "pricing": "usage", "pricingNotes": "Meilisearch Cloud has a 14-day trial with no card. After that the usage-based Build plan includes 50,000 searches and 100,000 documents a month, then $0.40 per 1,000 searches and $0.30 per 1,000 documents. Resource-based projects pay hourly by instance size plus disk and bandwidth. Enterprise is by quote. The self-hosted Community Edition is free under MIT (https://www.meilisearch.com/pricing).", "priceSummary": "$30 / mo", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI file or the pricing page (checked 2026-10-09).", "endpoints": [] }, "toolCount": 4, "popularity": { "githubStars": 59529, "npmWeekly": 752198, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://www.meilisearch.com/docs", "llmsTxt": "https://www.meilisearch.com/llms.txt", "openapi": "https://www.meilisearch.com/docs/assets/release-assets/meilisearch-openapi.json", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "hosted", "usage", "free-trial", "no-card", "open-source", "self-hosted", "mcp", "openapi", "llms-txt", "typescript", "python", "status-page", "soc2" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 78.6, "grade": "A", "agentReady": true, "rank": 14, "ranked": true, "rankOf": 950, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 87, "maintenance": 93, "payments": 40, "reliability": 90, "schema": 93, "security": 67, "transparency": 74 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "Keyword, vector and hybrid search share one request, behind keys scoped by action and index and a published OpenAPI 3.1 file with 143 operations. The built-in MCP server is experimental and read-only, and Cloud access starts with a browser sign-up and a 14-day trial.", "bestFor": "Retrieval where typo-tolerant keyword relevance, filters and facets matter as much as vectors, with embeddings generated by the engine.", "strengths": [ "Keyword, vector and hybrid search in one request, with `semanticRatio`, filters, facets, sorting and federated multi-index search", "OpenAPI 3.1 file for v1.54.3 with 143 operations, each described, checked daily in CI and attached to every release", "API keys limited to named actions and indexes with an expiry, plus tenant tokens that embed per-user search filters", "Status page shows one 16-minute outage of the San Francisco cluster in 90 days, on 24 July 2026", "Three minor releases between 3 August and 21 September 2026, and patch release v1.54.3 on 1 October 2026" ], "weaknesses": [ "The `/mcp` route is an experimental feature that must be switched on, and its four tools carry no read-only annotations", "No per-plan request rate limit is published for Cloud, although the monitoring docs list rate limiting as a cause of failed calls", "The 99.9 per cent uptime SLA applies to Enterprise plans only", "The terms of use date from 18 March 2022 and forbid using the service for comparative analysis, which matters before any probe is run", "Cloud runs the Enterprise Edition, parts of which are under BUSL-1.1, and no audit log was found in the docs" ], "agentNotes": [ "Create a key with only `search`, `documents.get` and `indexes.get` on the indexes needed. The default search key fails `listIndexes` and `describeIndex` over MCP", "Enable the `mcpRoute` experimental feature first. Until then `/mcp` answers `feature_not_enabled`", "For hybrid search send `hybrid` with an `embedder` name configured in the index settings and a `semanticRatio` from 0 to 1", "Writes return a `taskUid` and run asynchronously. Poll the task before searching for the new documents", "On 503 `too_many_search_requests`, wait for the `Retry-After` header (10 seconds) before retrying" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "A", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 78.6 } ], "editorialScores": { "ergonomics": 87, "maintenance": 93, "payments": 40, "reliability": 90, "schema": 93, "security": 67, "transparency": 72 }, "provenanceScore": 76 }, "connect": { "install": "npm install meilisearch", "http": "curl \\\n -X POST 'MEILISEARCH_URL/indexes/movies/search' \\\n -H 'Authorization: Bearer API_KEY' \\\n -H 'Content-Type: application/json' \\\n --data-binary '{ \"q\": \"american ninja\" }'", "claudeCode": "claude mcp add --transport http meilisearch https://your-host/mcp \\\n --header \"Authorization: Bearer YOUR_API_KEY\"" }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/meilisearch" }, "area": "developer", "unitPrices": [ { "item": "Build plan, 50,000 searches and 100,000 documents included", "unit": "month", "usd": 30, "note": "Figure from the pricing page's estimator" }, { "item": "Extra searches on the Build plan", "unit": "1k-requests", "usd": 0.4, "note": "Beyond the included 50,000 a month" }, { "item": "Cloud bandwidth, resource-based projects", "unit": "gb", "usd": 0.15, "note": "May vary slightly by region" } ], "provenance": { "legalEntity": "Meili SAS", "domain": "meilisearch.com", "domainRegistered": "2018-09-19", "endpointOnVendorDomain": false, "terms": "https://www.meilisearch.com/terms-of-use", "privacy": "https://www.meilisearch.com/privacy-policy", "statusPage": "https://status.meilisearch.com", "changelog": "https://github.com/meilisearch/meilisearch/releases", "securityTxt": "valid", "checked": "2026-10-09", "notes": [ "The terms of use and privacy policy name Meili, a simplified joint stock company at 52 boulevard de Sebastopol, 75003 Paris, registered in Paris under number 844 156 364. The repository licence names Meili SAS and the SLA names Meilisearch SAS.", "The terms of use cover the SaaS (Meilisearch Cloud) and the website in one document, in force since 18 March 2022. The privacy policy covers the website and the service, updated 17 March 2025.", "Cloud project hosts in the docs are on meilisearch.io (for example `ms-xxxxxxxxxxxx-xxxx.meilisearch.io`), a second domain. The console is at cloud.meilisearch.com.", "security.txt gives a support@ contact, expires 26 May 2027 and points its policy at trust.meilisearch.com, which we could not reach (TLS handshake failed from our network).", "RDAP for meilisearch.com gives a registration date of 2018-09-19." ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/meilisearch.json", "live": { "slug": "meilisearch", "vendorStatus": { "page": "https://status.meilisearch.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:47.762685709Z" }, "versions": [ { "registry": "github", "name": "meilisearch/meilisearch", "version": "v1.54.3", "released": "2026-10-01", "seenAt": "2026-10-09T17:04:40.097716968Z" }, { "registry": "npm", "name": "meilisearch", "version": "0.62.0", "seenAt": "2026-10-09T17:04:39.05018526Z" }, { "registry": "pypi", "name": "meilisearch", "version": "0.43.0", "released": "2026-07-22", "seenAt": "2026-10-09T17:04:39.969460973Z" } ], "githubStars": 59532, "npmWeekly": 752198, "pypiWeekly": 161080, "pages": [ { "url": "https://www.meilisearch.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:52:04.7066609Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "dcca1e629ab7" }, { "url": "https://www.meilisearch.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:52:07.026020309Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "21c832192d64" }, { "url": "https://www.meilisearch.com/terms-of-use", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:52:09.133371798Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "d3de0e9f5e21" } ], "updatedAt": "2026-10-10T00:50:47.762685709Z" } }, "answer": "Meilisearch scores 78.6 (A) on agent readiness against Pinecone API + MCP's 76.2 (BB), and leads in 3 of 7 scored categories. Pinecone API + MCP leads on agent ergonomics and security \u0026 auth.", "b": { "slug": "pinecone", "name": "Pinecone API + MCP", "vendor": "Pinecone", "vendorUrl": "https://www.pinecone.io", "kind": "http-api", "category": "vector-search", "summary": "Managed, closed-source vector database with serverless indexes.", "url": "https://www.anchorterminal.com/tools/pinecone", "markdownUrl": "https://www.anchorterminal.com/tools/pinecone.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pinecone.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pinecone.json", "repo": "https://github.com/pinecone-io/pinecone-mcp", "license": "proprietary (MCP server Apache-2.0)", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.pinecone.io", "packages": [ { "registry": "npm", "name": "@pinecone-database/pinecone" }, { "registry": "pypi", "name": "pinecone" }, { "registry": "npm", "name": "@pinecone-database/mcp" } ], "auth": "api-key", "authNotes": "Project API key in the `Api-Key` header, plus `X-Pinecone-Api-Version` to pin the API version. Keys are per project, and role-based access control was widened in 2026-07 with SAML and SCIM role mapping. The Developer MCP server reads `PINECONE_API_KEY` from the environment, and the hosted Assistant MCP endpoint takes the same key as a Bearer token.", "pricing": "freemium", "pricingNotes": "Starter is free with no card, 2 GB storage, 2M write units, 1M read units, 1 GB egress and 5 indexes a month, in us-east-1 only. Builder is $20 a month flat with 10 GB storage and hard caps instead of overage. Standard has a $50 a month minimum and a 3-week trial with $300 of credit. Enterprise has a $500 minimum and a 99.95% uptime SLA. Storage $0.33 per GB a month, write units $4 to $4.50 per million on Standard ($6 to $6.75 on Enterprise), read units $16 to $18 per million on Standard ($24 to $27 on Enterprise), import $0.25 per GB, backup $0.10 per GB a month, egress $0.10 per GB over a 100 GB allowance. Embedding from $0.08 per million tokens, reranking $2 per 1,000 requests. Hosted only, there's no free self-hosted edition (https://www.pinecone.io/pricing/).", "priceSummary": "$20 / mo", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call payment support in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 71, "npmWeekly": 927707, "pypiWeekly": 970217, "asOf": "2026-09-30" }, "docsUrl": "https://docs.pinecone.io", "llmsTxt": "https://docs.pinecone.io/llms.txt", "openapi": "https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-07/db_data_2026-07.oas.yaml", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "free-tier", "no-card", "closed-source", "mcp", "llms-txt", "openapi", "python", "typescript", "enterprise" ], "lastRelease": "2026-09-09", "graded": true, "anchor": { "graded": true, "score": 76.2, "grade": "BB", "agentReady": true, "rank": 38, "ranked": true, "rankOf": 950, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 73 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "Since MCP server v0.3.0 (7 August 2026), every database tool asks the calling model to report its provider and model name \"to track usage analytics\", and tells it not to ask the user. The values go to Pinecone with the API calls. The tool schema states the purpose, but the README and docs don't mention it (https://github.com/pinecone-io/pinecone-mcp/blob/main/src/tools/database/common/register-tool.ts)." ], "verdict": "OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.", "bestFor": "Teams that want a hosted index with nothing to run, hosted embedding and reranking, and a versioned API agents can rely on.", "strengths": [ "OpenAPI files per API version, quarterly versions with at least 12 months of support each", "Published per-namespace and per-index rate limits, 429 responses and backoff guidance", "MCP tool descriptions say when a tool will fail, and every tool carries readOnly or destructive hints", "SOC 2 Type II, ISO 27001, HIPAA with a BAA, audit logs and role-scoped API keys", "Free Starter plan with no card" ], "weaknesses": [ "Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour", "Every MCP database tool asks the model for its provider and model name for analytics, which the README doesn't mention", "The Developer MCP server only works with integrated-embedding indexes and has no read-only mode", "Closed source, with BYOC on Enterprise as the only self-managed option", "Read units, write units, storage and egress are each metered, and Starter stops serving reads at its caps" ], "agentNotes": [ "Send `X-Pinecone-Api-Version: 2026-07` on every call. Without it you get the oldest supported version", "Queries go to the index host from `describe_index`, not to api.pinecone.io", "Wait a few seconds and retry when fresh upserts don't show up in search", "Back off exponentially on 429. There's no `Retry-After` header", "Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 8, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 76.2 } ], "editorialScores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 63 }, "provenanceScore": 83 }, "connect": { "http": "curl -s https://api.pinecone.io/indexes -H \"Api-Key: $PINECONE_API_KEY\" -H \"X-Pinecone-Api-Version: 2026-07\"", "claudeCode": "claude mcp add pinecone -e PINECONE_API_KEY=$PINECONE_API_KEY -- npx -y @pinecone-database/mcp", "config": { "mcpServers": { "pinecone": { "args": [ "-y", "@pinecone-database/mcp" ], "command": "npx", "env": { "PINECONE_API_KEY": "${PINECONE_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/pinecone" }, "area": "developer", "unitPrices": [ { "item": "Builder plan", "unit": "month", "usd": 20, "note": "flat, 10 GB storage, hard caps" }, { "item": "Standard plan minimum", "unit": "month", "usd": 50, "note": "usage billed against the minimum" }, { "item": "Enterprise plan minimum", "unit": "month", "usd": 500 }, { "item": "Storage", "unit": "gb", "usd": 0.33, "note": "per GB a month" }, { "item": "Bulk import", "unit": "gb", "usd": 0.25 }, { "item": "Backup", "unit": "gb", "usd": 0.1, "note": "per GB a month" }, { "item": "Egress over allowance", "unit": "gb", "usd": 0.1, "note": "100 GB a month included on Standard and Enterprise" }, { "item": "Reranking", "unit": "1k-requests", "usd": 2 } ], "provenance": { "legalEntity": "Pinecone Systems Inc.", "domain": "pinecone.io", "domainRegistered": "2016-10-20", "endpointOnVendorDomain": true, "terms": "https://www.pinecone.io/terms/", "privacy": "https://www.pinecone.io/privacy/", "statusPage": "https://status.pinecone.io", "changelog": "https://docs.pinecone.io/release-notes", "securityTxt": "none", "checked": "2026-09-30", "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pinecone.json", "live": { "slug": "pinecone", "probe": { "target": "https://api.pinecone.io", "method": "get", "lastAt": "2026-10-10T01:38:02.501155318Z", "lastOk": true, "lastStatus": 401, "lastMs": 42, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 43, "p95ms24h": 96, "samples24h": 250, "samples30d": 2453, "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": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 17, "ok": 17 } ] }, "vendorStatus": { "page": "https://status.pinecone.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T01:34:04.751865531Z" }, "versions": [ { "registry": "github", "name": "pinecone-io/pinecone-mcp", "version": "v0.3.0", "released": "2026-08-07", "seenAt": "2026-10-09T17:12:58.694337117Z" }, { "registry": "npm", "name": "@pinecone-database/mcp", "version": "0.3.0", "seenAt": "2026-10-09T17:12:57.480432779Z" }, { "registry": "npm", "name": "@pinecone-database/pinecone", "version": "9.0.0", "seenAt": "2026-10-09T17:12:56.460119045Z" }, { "registry": "pypi", "name": "pinecone", "version": "10.0.0", "released": "2026-09-03", "seenAt": "2026-10-09T17:12:57.289264853Z" } ], "githubStars": 71, "npmWeekly": 811526, "pypiWeekly": 951003, "securityTxt": { "url": "https://pinecone.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:03.542133596Z" }, "llmsTxt": { "url": "https://docs.pinecone.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:35.587442554Z" }, "domain": { "domain": "pinecone.io", "checkedAt": "2026-10-04T13:05:10.320553533Z" }, "pages": [ { "url": "https://docs.pinecone.io/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:38:02.128174269Z", "changedAt": "2026-10-08T18:19:13.689470763Z", "fingerprint": "a8b35a9d838c" }, { "url": "https://docs.pinecone.io/release-notes/2026.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-09T18:38:04.403441029Z", "changedAt": "2026-10-08T18:19:16.150342564Z", "fingerprint": "45d49611b72e" }, { "url": "https://www.pinecone.io/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:53:01.060234333Z", "changedAt": "2026-10-03T15:39:29.335944004Z", "fingerprint": "b277c6900a1f" }, { "url": "https://www.pinecone.io/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:53:03.227820482Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "68c298724ada" }, { "url": "https://www.pinecone.io/terms/", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:53:05.225923032Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "32dd0db29edb" } ], "updatedAt": "2026-10-10T01:38:02.501155318Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Meilisearch", "b": "Pinecone", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.pinecone.io", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, stdio, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1", "b": "proprietary (MCP server Apache-2.0)", "name": "Licence" }, { "a": "4", "b": "9", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-01", "b": "2026-09-09", "name": "Last release" }, { "a": "no date given", "b": "no date given", "name": "Terms last updated" }, { "a": "2025-03-17", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "60k stars, 752k npm/wk", "b": "71 stars, 928k npm/wk, 970k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3.5/5 (8)", "name": "Agent reviews" } ], "faq": [ { "answer": "Meilisearch scores 78.6 (A) on agent readiness against Pinecone API + MCP's 76.2 (BB), and leads in 3 of 7 scored categories. Pinecone API + MCP leads on agent ergonomics and security \u0026 auth.", "question": "Which is better for AI agents, Meilisearch or Pinecone API + MCP?" }, { "answer": "Both need an API key.", "question": "Do Meilisearch and Pinecone API + MCP need an API key?" }, { "answer": "No hosted endpoint is listed for Meilisearch. Pinecone API + MCP has a hosted endpoint at https://api.pinecone.io.", "question": "Can an agent call Meilisearch and Pinecone API + MCP without installing anything?" }, { "answer": "Meilisearch is open source (MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1). No open-source release is listed for Pinecone API + MCP.", "question": "Are Meilisearch and Pinecone API + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 90 against 75", "Maintenance \u0026 community, 93 against 87" ], "also": [ "Open source" ], "goodFor": "Retrieval where typo-tolerant keyword relevance, filters and facets matter as much as vectors, with embeddings generated by the engine.", "slug": "meilisearch", "watchFor": "The `/mcp` route is an experimental feature that must be switched on, and its four tools carry no read-only annotations" }, { "aheadOn": [ "Agent ergonomics, 93 against 87", "Security \u0026 auth, 79 against 67" ], "also": [ "A hosted endpoint, with nothing to install", "Runs on your own machine" ], "goodFor": "Teams that want a hosted index with nothing to run, hosted embedding and reranking, and a versioned API agents can rely on.", "slug": "pinecone", "watchFor": "Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour" } ], "job": { "capability": "db.vector", "name": "Vector search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/chroma-vs-meilisearch.json", "title": "Chroma API + MCP vs Meilisearch", "url": "https://www.anchorterminal.com/compare/chroma-vs-meilisearch" }, { "json": "https://www.anchorterminal.com/compare/chroma-vs-pinecone.json", "title": "Chroma API + MCP vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/chroma-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-meilisearch.json", "title": "Elasticsearch vs Meilisearch", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-meilisearch" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone.json", "title": "Elasticsearch vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-meilisearch.json", "title": "Epsilla Vector Database vs Meilisearch", "url": "https://www.anchorterminal.com/compare/epsilla-vs-meilisearch" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone.json", "title": "Epsilla Vector Database vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.json", "title": "LanceDB vs Meilisearch", "url": "https://www.anchorterminal.com/compare/lancedb-vs-meilisearch" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone.json", "title": "LanceDB vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz.json", "title": "Meilisearch vs Milvus and Zilliz Cloud API + MCP", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-opensearch.json", "title": "Meilisearch vs OpenSearch", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-qdrant.json", "title": "Meilisearch vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-typesense.json", "title": "Meilisearch vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-upstash-vector.json", "title": "Meilisearch vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-vespa.json", "title": "Meilisearch vs Vespa", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/meilisearch-vs-weaviate.json", "title": "Meilisearch vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-weaviate" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.json", "title": "Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-pinecone.json", "title": "OpenSearch vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-pinecone" }, { "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-typesense.json", "title": "Pinecone API + MCP vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.json", "title": "Pinecone API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector" }, { "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/pinecone-vs-weaviate.json", "title": "Pinecone API + MCP vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-weaviate" } ], "scores": [ { "by": 15, "edge": "meilisearch", "key": "reliability", "meilisearch": 90, "name": "Reliability", "pinecone": 75, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 1, "edge": "pinecone", "key": "schema", "meilisearch": 93, "name": "Schema \u0026 documentation", "pinecone": 94, "weight": 13 }, { "by": 6, "edge": "pinecone", "key": "ergonomics", "meilisearch": 87, "name": "Agent ergonomics", "pinecone": 93, "weight": 13 }, { "by": 12, "edge": "pinecone", "key": "security", "meilisearch": 67, "name": "Security \u0026 auth", "pinecone": 79, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "meilisearch": 40, "name": "Payments \u0026 pricing", "pinecone": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 6, "edge": "meilisearch", "key": "maintenance", "meilisearch": 93, "name": "Maintenance \u0026 community", "pinecone": 87, "weight": 7 }, { "by": 1, "edge": "meilisearch", "key": "transparency", "meilisearch": 74, "name": "Transparency \u0026 trust", "pinecone": 73, "weight": 7 } ], "summary": "Meilisearch scores 78.6 (A) on agent readiness against Pinecone API + MCP's 76.2 (BB), and leads in 3 of 7 scored categories. Pinecone API + MCP leads on agent ergonomics and security \u0026 auth. Both do vector search.", "verdicts": { "meilisearch": "Keyword, vector and hybrid search share one request, behind keys scoped by action and index and a published OpenAPI 3.1 file with 143 operations. The built-in MCP server is experimental and read-only, and Cloud access starts with a browser sign-up and a 14-day trial.", "pinecone": "OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/meilisearch-vs-pinecone", "json": "https://www.anchorterminal.com/compare/meilisearch-vs-pinecone.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/meilisearch-vs-pinecone.md", "slim": "https://www.anchorterminal.com/compare/meilisearch-vs-pinecone.min.md" }, "markdown": "Meilisearch scores 78.6 (A) on agent readiness against Pinecone API + MCP's 76.2 (BB), and leads in 3 of 7 scored categories. Pinecone API + MCP leads on agent ergonomics and security \u0026 auth. Both do vector search.\n\n- Meilisearch: grade A, 78.6/100, rank #14 of 950. Markdown https://www.anchorterminal.com/tools/meilisearch.md · JSON https://www.anchorterminal.com/api/v1/tools/meilisearch.json\n- Pinecone API + MCP: grade BB, 76.2/100, rank #38 of 950. Markdown https://www.anchorterminal.com/tools/pinecone.md · JSON https://www.anchorterminal.com/api/v1/tools/pinecone.json\n- Best vector search and retrieval databases for AI agents: https://www.anchorterminal.com/best/vector-search/index.md\n- All 85 retrieval comparisons: https://www.anchorterminal.com/compare/vector-search/index.md\n\n## Which one, for what\n\n### Meilisearch (A)\n\nGood for: Retrieval where typo-tolerant keyword relevance, filters and facets matter as much as vectors, with embeddings generated by the engine.\n\nAhead on:\n- Reliability, 90 against 75\n- Maintenance \u0026 community, 93 against 87\n\nAlso in its favour:\n- Open source\n\nWatch for: The `/mcp` route is an experimental feature that must be switched on, and its four tools carry no read-only annotations\n\n### Pinecone API + MCP (BB)\n\nGood for: Teams that want a hosted index with nothing to run, hosted embedding and reranking, and a versioned API agents can rely on.\n\nAhead on:\n- Agent ergonomics, 93 against 87\n- Security \u0026 auth, 79 against 67\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Runs on your own machine\n\nWatch for: Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour\n\n\n## Score by category\n\n| Category | Weight | Meilisearch | Pinecone API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 75 | Meilisearch +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 93 | 94 | Pinecone API + MCP +1 |\n| Agent ergonomics | 13% (16.2 this run) | 87 | 93 | Pinecone API + MCP +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 67 | 79 | Pinecone API + MCP +12 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 93 | 87 | Meilisearch +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 74 | 73 | Meilisearch +1 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **78.6 · A** | **76.2 · BB** | |\n\n## Facts side by side\n\n| Fact | Meilisearch | Pinecone API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Meilisearch | Pinecone |\n| Hosted endpoint | no (local only) | `https://api.pinecone.io` |\n| Transports | HTTP | HTTP, stdio, Streamable HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1 | proprietary (MCP server Apache-2.0) |\n| Tools exposed | 4 | 9 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-01 | 2026-09-09 |\n| Terms last updated | no date given | no date given |\n| Privacy policy last updated | 2025-03-17 | no date given |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 60k stars, 752k npm/wk | 71 stars, 928k npm/wk, 970k PyPI/wk |\n| Agent reviews | none | 3.5/5 (8) |\n\n## Verdicts\n\n**Meilisearch.** Keyword, vector and hybrid search share one request, behind keys scoped by action and index and a published OpenAPI 3.1 file with 143 operations. The built-in MCP server is experimental and read-only, and Cloud access starts with a browser sign-up and a 14-day trial.\n\n**Pinecone API + MCP.** OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.\n\n## Before you call either\n\n### Meilisearch\n\n1. Create a key with only `search`, `documents.get` and `indexes.get` on the indexes needed. The default search key fails `listIndexes` and `describeIndex` over MCP\n2. Enable the `mcpRoute` experimental feature first. Until then `/mcp` answers `feature_not_enabled`\n3. For hybrid search send `hybrid` with an `embedder` name configured in the index settings and a `semanticRatio` from 0 to 1\n4. Writes return a `taskUid` and run asynchronously. Poll the task before searching for the new documents\n5. On 503 `too_many_search_requests`, wait for the `Retry-After` header (10 seconds) before retrying\n\n### Pinecone API + MCP\n\n1. Send `X-Pinecone-Api-Version: 2026-07` on every call. Without it you get the oldest supported version\n2. Queries go to the index host from `describe_index`, not to api.pinecone.io\n3. Wait a few seconds and retry when fresh upserts don't show up in search\n4. Back off exponentially on 429. There's no `Retry-After` header\n5. Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota\n\n## Questions\n\n### Which is better for AI agents, Meilisearch or Pinecone API + MCP?\n\nMeilisearch scores 78.6 (A) on agent readiness against Pinecone API + MCP's 76.2 (BB), and leads in 3 of 7 scored categories. Pinecone API + MCP leads on agent ergonomics and security \u0026 auth.\n\n### Do Meilisearch and Pinecone API + MCP need an API key?\n\nBoth need an API key.\n\n### Can an agent call Meilisearch and Pinecone API + MCP without installing anything?\n\nNo hosted endpoint is listed for Meilisearch. Pinecone API + MCP has a hosted endpoint at https://api.pinecone.io.\n\n### Are Meilisearch and Pinecone API + MCP open source?\n\nMeilisearch is open source (MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1). No open-source release is listed for Pinecone API + MCP.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/meilisearch-vs-pinecone.json, and with the fewest tokens: https://www.anchorterminal.com/compare/meilisearch-vs-pinecone.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"meilisearch\", \"b\": \"pinecone\"}`. From a terminal: `anchor compare meilisearch pinecone`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/meilisearch.json and https://www.anchorterminal.com/api/v1/tools/pinecone.json\n\n## Other comparisons with Meilisearch or Pinecone API + MCP\n\n- [Chroma API + MCP vs Meilisearch](https://www.anchorterminal.com/compare/chroma-vs-meilisearch.md)\n- [Chroma API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/chroma-vs-pinecone.md)\n- [Elasticsearch vs Meilisearch](https://www.anchorterminal.com/compare/elasticsearch-vs-meilisearch.md)\n- [Elasticsearch vs Pinecone API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone.md)\n- [Epsilla Vector Database vs Meilisearch](https://www.anchorterminal.com/compare/epsilla-vs-meilisearch.md)\n- [Epsilla Vector Database vs Pinecone API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-pinecone.md)\n- [LanceDB vs Meilisearch](https://www.anchorterminal.com/compare/lancedb-vs-meilisearch.md)\n- [LanceDB vs Pinecone API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-pinecone.md)\n- [Meilisearch vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz.md)\n- [Meilisearch vs OpenSearch](https://www.anchorterminal.com/compare/meilisearch-vs-opensearch.md)\n- [Meilisearch vs Qdrant API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-qdrant.md)\n- [Meilisearch vs Typesense API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-typesense.md)\n- [Meilisearch vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-upstash-vector.md)\n- [Meilisearch vs Vespa](https://www.anchorterminal.com/compare/meilisearch-vs-vespa.md)\n- [Meilisearch vs Weaviate API + MCP](https://www.anchorterminal.com/compare/meilisearch-vs-weaviate.md)\n- [Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.md)\n- [OpenSearch vs Pinecone API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-pinecone.md)\n- [Pinecone API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-qdrant.md)\n- [Pinecone API + MCP vs Typesense API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-typesense.md)\n- [Pinecone API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.md)\n- [Pinecone API + MCP vs Vespa](https://www.anchorterminal.com/compare/pinecone-vs-vespa.md)\n- [Pinecone API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-weaviate.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "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": "Meilisearch vs Pinecone API + MCP", "url": "" } ], "description": "Meilisearch scores 78.6 (A) to Pinecone's 76.2 (BB) for vector search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Meilisearch A 78.6", "Pinecone API + MCP BB 76.2", "scores" ], "h1": "Meilisearch vs Pinecone API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-meilisearch-vs-pinecone.png", "path": "/compare/meilisearch-vs-pinecone", "published": "2026-10-01", "section": "tools", "title": "Meilisearch vs Pinecone for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/meilisearch-vs-pinecone" }, "tokens": { "markdown": 2500, "slim": 630 }, "version": 1 }