{ "data": { "a": { "slug": "milvus-zilliz", "name": "Milvus and Zilliz Cloud API + MCP", "vendor": "Zilliz", "vendorUrl": "https://zilliz.com", "kind": "http-api", "category": "vector-search", "summary": "Milvus is the open-source (Apache-2.0, LF AI and Data) vector database, run embedded as Milvus Lite, standalone or distributed on Kubernetes.", "url": "https://www.anchorterminal.com/tools/milvus-zilliz", "markdownUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.json", "repo": "https://github.com/milvus-io/milvus", "license": "Apache-2.0", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.cloud.zilliz.com/v2", "packages": [ { "registry": "pypi", "name": "pymilvus" }, { "registry": "npm", "name": "@zilliz/milvus2-sdk-node" }, { "registry": "pypi", "name": "zilliz-mcp-server" } ], "auth": "api-key", "authNotes": "Zilliz Cloud uses an API key (or cluster username:password) as Bearer on both the control plane (api.cloud.zilliz.com) and each cluster endpoint. Self-hosted Milvus has authentication off by default; turn it on and pass user:password as the token. The Zilliz MCP server reads ZILLIZ_CLOUD_TOKEN.", "pricing": "freemium", "pricingNotes": "Zilliz Cloud Free cluster with 5 GB storage (about 1M 768-dim vectors), 2.5M vCUs a month and 5 collections, no card. Serverless bills $4 per million vCUs for reads and writes (a read costs at least 6 vCUs; 1M 768-dim inserts cost about $3) plus storage, which the docs price at $0.025 per GB a month in their worked example. Dedicated bills per CU-hour ($0.248 in the docs' example region) plus storage. $100 of trial credit on sign-up with a work email, valid 30 days. Self-hosted Milvus is free software plus your own infrastructure (https://zilliz.com/pricing).", "priceSummary": "$0. / unit", "where": "both", "x402": { "level": "no", "evidence": "No x402 support in Zilliz docs, pricing or MCP README (checked 2026-09-30).", "endpoints": [] }, "toolCount": 16, "popularity": { "githubStars": 46289, "npmWeekly": 178754, "pypiWeekly": 882796, "asOf": "2026-09-30" }, "docsUrl": "https://milvus.io/docs", "llmsTxt": "https://milvus.io/llms.txt", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "no-card", "free-tier", "open-source", "self-hosted", "local", "mcp", "llms-txt", "python", "typescript", "enterprise" ], "lastRelease": "2026-09-20", "graded": true, "anchor": { "graded": true, "score": 57.5, "grade": "C", "agentReady": false, "rank": 293, "ranked": true, "rankOf": 452, "categoryRank": 7, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 62, "maintenance": 85, "payments": 35, "reliability": 85, "schema": 69, "security": 53, "transparency": 70 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -8, "negativeNotes": [ "CVE-2025-64513 (GHSA-mhjq-8c7m-3f7p), CVSS 9.3, published 10 November 2025, an authentication bypass in the Milvus Proxy giving full admin access. Patched in 2.4.24, 2.5.21 and 2.6.5. Fixed and disclosed, so a small deduction (-2) (https://github.com/advisories/GHSA-mhjq-8c7m-3f7p).", "CVE-2026-26190 (GHSA-7ppg-37fh-vcr6), CVSS 9.8, published 11 February 2026, unauthenticated access to REST APIs on metrics port 9091. Patched in 2.5.27 and 2.6.10. Fixed and disclosed (-2) (https://github.com/advisories/GHSA-7ppg-37fh-vcr6).", "Before 18 August 2026 the Zilliz MCP data tools accepted a caller-supplied endpoint, so a prompt-injected URL could receive the server-held ZILLIZ_CLOUD_TOKEN. The fix is on GitHub, but the README still installs with `uvx zilliz-mcp-server` and the only PyPI release is 1.0.0 from 30 June 2025, with no advisory (-4) (https://github.com/zilliztech/zilliz-mcp-server/commit/23beec692734e61c688e57fc8a8bf8f4cf610ab5, https://pypi.org/project/zilliz-mcp-server/#history)." ], "verdict": "Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.", "strengths": [ "Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed", "Dense, sparse and BM25 full-text search with hybrid reranking in one collection", "One status incident in 90 days, 1 hour 7 minutes of control-plane errors with data access unaffected", "Rate limits and search caps published per plan, and a 99.95% SLA on Dedicated Enterprise", "Weekly releases across the 2.6 and 3.0 lines, the latest on 28 September 2026" ], "weaknesses": [ "The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding", "Two critical Milvus advisories in the past year, CVE-2025-64513 and CVE-2026-26190, both patched", "16 MCP tools with no annotations or read-only mode, including delete_entities and suspend_cluster", "No OpenAPI file for the Zilliz Cloud REST API", "Collections need a schema and an index before search, and every MCP data call needs cluster and region IDs" ], "agentNotes": [ "Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships", "Use the cluster endpoint for data (`/v2/vectordb/entities/search`) and api.cloud.zilliz.com only for cluster management", "Set `consistencyLevel` to Strong when a test needs a write visible to the next query. The default is Bounded", "Expect at most 1,024 results and 10 query vectors per search on Free and Serverless", "Return only the fields you need. Returning the vector field multiplies read cost" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 57.5 } ], "editorialScores": { "ergonomics": 62, "maintenance": 85, "payments": 35, "reliability": 85, "schema": 69, "security": 53, "transparency": 65 }, "provenanceScore": 75 }, "connect": { "http": "curl -X POST \"$CLUSTER_ENDPOINT/v2/vectordb/entities/search\" \\\n -H \"Authorization: Bearer $ZILLIZ_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"collectionName\":\"docs\",\"data\":[[0.12,0.33,0.51,0.08]],\"limit\":3,\"outputFields\":[\"id\"]}'", "claudeCode": "claude mcp add zilliz -e ZILLIZ_CLOUD_TOKEN=$ZILLIZ_API_KEY -- uvx zilliz-mcp-server", "config": { "mcpServers": { "zilliz-mcp-server": { "args": [ "zilliz-mcp-server" ], "command": "uvx", "env": { "ZILLIZ_CLOUD_TOKEN": "${ZILLIZ_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/milvus-zilliz" }, "area": "developer", "unitPrices": [ { "item": "Serverless vCU (reads and writes)", "unit": "compute-unit", "usd": 0.000004, "note": "$4 per million vCUs; minimum 6 vCUs a read, 1 KB inserted = 0.25 vCU" }, { "item": "Storage", "unit": "gb", "usd": 0.025, "note": "per GB a month in the docs' worked example; varies by region and plan" } ], "provenance": { "legalEntity": "Zilliz Inc.", "domain": "zilliz.com", "domainRegistered": "2015-02-12", "endpointOnVendorDomain": false, "terms": "https://zilliz.com/terms-and-conditions", "privacy": "https://zilliz.com/privacy-policy", "statusPage": "https://status.zilliz.com", "changelog": "https://docs.zilliz.com/docs/changelogs", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The control plane is api.cloud.zilliz.com, but cluster data endpoints are on vectordb.zillizcloud.com, a separate domain.", "Milvus is a Linux Foundation (LF AI and Data) project; Zilliz is its main contributor." ], "score": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.json", "live": { "slug": "milvus-zilliz", "probe": { "target": "https://api.cloud.zilliz.com/v2", "method": "get", "lastAt": "2026-10-04T23:48:11.941524547Z", "lastOk": true, "lastStatus": 404, "lastMs": 462, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 447, "p95ms24h": 487, "samples24h": 272, "samples30d": 1100, "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": 270, "ok": 270 } ] }, "vendorStatus": { "page": "https://status.zilliz.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-04T23:49:19.474858455Z" }, "versions": [ { "registry": "github", "name": "milvus-io/milvus", "version": "v3.0.2", "released": "2026-09-20", "seenAt": "2026-10-04T16:33:10.881640535Z" }, { "registry": "npm", "name": "@zilliz/milvus2-sdk-node", "version": "3.0.6", "seenAt": "2026-10-04T16:33:08.909176035Z" }, { "registry": "pypi", "name": "pymilvus", "version": "3.0.2", "released": "2026-09-18", "seenAt": "2026-10-04T16:33:08.796994677Z" }, { "registry": "pypi", "name": "zilliz-mcp-server", "version": "1.0.0", "released": "2025-06-30", "seenAt": "2026-10-04T16:33:09.719796239Z" } ], "githubStars": 46317, "npmWeekly": 184748, "pypiWeekly": 923466, "securityTxt": { "url": "https://zilliz.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:52.762746791Z" }, "llmsTxt": { "url": "https://milvus.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:58.733020799Z" }, "domain": { "domain": "zilliz.com", "registered": "2015-02-12", "source": "https://rdap.verisign.com/com/v1/domain/zilliz.com", "checkedAt": "2026-10-04T13:04:23.500221504Z" }, "pages": [ { "url": "https://docs.zilliz.com/docs/changelogs", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:44:21.305071026Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "409fe866218b" }, { "url": "https://zilliz.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:53:08.770131799Z", "changedAt": "2026-10-03T15:40:59.110727668Z", "fingerprint": "65da27d06cde" }, { "url": "https://zilliz.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:53:10.939115676Z", "changedAt": "2026-10-03T15:41:01.2788898Z", "fingerprint": "f8a59b9d0755" }, { "url": "https://zilliz.com/terms-and-conditions", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:53:12.921253938Z", "changedAt": "2026-10-03T15:41:03.269035914Z", "fingerprint": "79d9d824a30e" } ], "updatedAt": "2026-10-04T23:49:19.474858455Z" } }, "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": 76.4, "grade": "BB", "agentReady": true, "rank": 28, "ranked": true, "rankOf": 452, "categoryRank": 1, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 75 }, "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.", "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": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 76.4 } ], "editorialScores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 63 }, "provenanceScore": 86 }, "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": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pinecone.json", "live": { "slug": "pinecone", "probe": { "target": "https://api.pinecone.io", "method": "get", "lastAt": "2026-10-04T23:48:13.868189598Z", "lastOk": true, "lastStatus": 401, "lastMs": 38, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 41, "p95ms24h": 101, "samples24h": 272, "samples30d": 1100, "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": 270, "ok": 270 } ] }, "vendorStatus": { "page": "https://status.pinecone.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-04T23:49:24.59464617Z" }, "versions": [ { "registry": "github", "name": "pinecone-io/pinecone-mcp", "version": "v0.3.0", "released": "2026-08-07", "seenAt": "2026-10-04T16:36:33.408663318Z" }, { "registry": "npm", "name": "@pinecone-database/mcp", "version": "0.3.0", "seenAt": "2026-10-04T16:36:32.141735764Z" }, { "registry": "npm", "name": "@pinecone-database/pinecone", "version": "9.0.0", "seenAt": "2026-10-04T16:36:31.087662333Z" }, { "registry": "pypi", "name": "pinecone", "version": "10.0.0", "released": "2026-09-03", "seenAt": "2026-10-04T16:36:31.955124175Z" } ], "githubStars": 71, "npmWeekly": 997504, "pypiWeekly": 1005784, "securityTxt": { "url": "https://pinecone.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:16:04.248414975Z" }, "llmsTxt": { "url": "https://docs.pinecone.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:06.567751285Z" }, "domain": { "domain": "pinecone.io", "checkedAt": "2026-10-04T13:05:10.320553533Z" }, "pages": [ { "url": "https://docs.pinecone.io/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:43:53.547301589Z", "changedAt": "2026-10-02T15:20:15.909473495Z", "fingerprint": "dbe2b886af2a" }, { "url": "https://docs.pinecone.io/release-notes/2026.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-04T15:43:55.759270586Z", "changedAt": "2026-10-02T15:20:18.225718539Z", "fingerprint": "eed337dae9b9" }, { "url": "https://www.pinecone.io/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:51:38.420010854Z", "changedAt": "2026-10-03T15:39:29.335944004Z", "fingerprint": "b277c6900a1f" }, { "url": "https://www.pinecone.io/privacy/", "kind": "privacy", "status": 304, "checkedAt": "2026-10-04T15:51:40.912574741Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "68c298724ada" }, { "url": "https://www.pinecone.io/terms/", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:51:42.742827598Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "32dd0db29edb" } ], "updatedAt": "2026-10-04T23:49:24.59464617Z" } }, "summary": "Pinecone API + MCP has a score of 76.4 (BB) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is agent ergonomics, 31 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone", "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.md", "slim": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.min.md" }, "markdown": "Pinecone API + MCP has a score of 76.4 (BB) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is agent ergonomics, 31 points.\n\n- Milvus and Zilliz Cloud API + MCP: grade C, 57.5/100, rank #293 of 452. Markdown https://www.anchorterminal.com/tools/milvus-zilliz.md · JSON https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.json\n- Pinecone API + MCP: grade BB, 76.4/100, rank #28 of 452. Markdown https://www.anchorterminal.com/tools/pinecone.md · JSON https://www.anchorterminal.com/api/v1/tools/pinecone.json\n\n## Which one, for what\n\nPick Milvus and Zilliz Cloud API + MCP for reliability (+10).\n\nPick Pinecone API + MCP for schema \u0026 documentation (+25), agent ergonomics (+31), security \u0026 auth (+26), payments \u0026 pricing (+5), transparency \u0026 trust (+5).\n\n## Score by category\n\n| Category | Weight | Milvus and Zilliz Cloud API + MCP | Pinecone API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 75 | Milvus and Zilliz Cloud API + MCP +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 69 | 94 | Pinecone API + MCP +25 |\n| Agent ergonomics | 13% (16.2 this run) | 62 | 93 | Pinecone API + MCP +31 |\n| Security \u0026 auth | 14% (17.5 this run) | 53 | 79 | Pinecone API + MCP +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Pinecone API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 87 | Pinecone API + MCP +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 75 | Pinecone API + MCP +5 |\n| Negative events | ≤15 | -8 | -2 | |\n| **Total** | | **57.5 · C** | **76.4 · BB** | |\n\n## Facts side by side\n\n| Fact | Milvus and Zilliz Cloud API + MCP | Pinecone API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Zilliz | Pinecone |\n| Hosted endpoint | `https://api.cloud.zilliz.com/v2` | `https://api.pinecone.io` |\n| Transports | HTTP, stdio, Streamable HTTP | HTTP, stdio, Streamable HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | proprietary (MCP server Apache-2.0) |\n| Tools exposed | 16 | 9 |\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 | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-20 | 2026-09-09 |\n| Popularity | 46k stars, 179k npm/wk, 883k PyPI/wk | 71 stars, 928k npm/wk, 970k PyPI/wk |\n| Agent reviews | 3.5/5 (2) | 3.5/5 (8) |\n\n## Verdicts\n\n**Milvus and Zilliz Cloud API + MCP.** Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.\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### Milvus and Zilliz Cloud API + MCP\n\n1. Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships\n2. Use the cluster endpoint for data (`/v2/vectordb/entities/search`) and api.cloud.zilliz.com only for cluster management\n3. Set `consistencyLevel` to Strong when a test needs a write visible to the next query. The default is Bounded\n4. Expect at most 1,024 results and 10 query vectors per search on Free and Serverless\n5. Return only the fields you need. Returning the vector field multiplies read cost\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## Other comparisons with Milvus and Zilliz Cloud API + MCP or Pinecone API + MCP\n\n- [Chroma API + MCP vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/chroma-vs-milvus-zilliz.md)\n- [Chroma API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/chroma-vs-pinecone.md)\n- [Epsilla Vector Database vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-milvus-zilliz.md)\n- [Epsilla Vector Database vs Pinecone API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-pinecone.md)\n- [LanceDB vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.md)\n- [LanceDB vs Pinecone API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-pinecone.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 Typesense API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-typesense.md)\n- [Milvus and Zilliz Cloud API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.md)\n- [Milvus and Zilliz Cloud API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-weaviate.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 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": "2026-10-04", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "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": "Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP", "url": "" } ], "description": "Pinecone API + MCP has a score of 76.4 (BB) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is agent ergonomics, 31 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Milvus and Zilliz Cloud API + MCP C 57.5", "Pinecone API + MCP BB 76.4", "scores" ], "h1": "Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-milvus-zilliz-vs-pinecone.png", "path": "/compare/milvus-zilliz-vs-pinecone", "published": "2026-10-01", "section": "tools", "title": "Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP for AI agents", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone" }, "tokens": { "markdown": 1650, "slim": 380 }, "version": 1 }