{ "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": "upstash-vector", "name": "Upstash Vector API + MCP", "vendor": "Upstash", "vendorUrl": "https://upstash.com/vector", "kind": "http-api", "category": "vector-search", "summary": "Serverless vector database billed per request.", "url": "https://www.anchorterminal.com/tools/upstash-vector", "markdownUrl": "https://www.anchorterminal.com/tools/upstash-vector.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/upstash-vector.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/upstash-vector.json", "repo": "https://github.com/upstash/vector-js", "license": "MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.upstash.com/v2", "packages": [ { "registry": "npm", "name": "@upstash/vector" }, { "registry": "pypi", "name": "upstash-vector" }, { "registry": "npm", "name": "@upstash/mcp-server" } ], "auth": "mixed", "authNotes": "Data plane uses a per-index REST token as Bearer (UPSTASH_VECTOR_REST_URL plus UPSTASH_VECTOR_REST_TOKEN), with a separate read-only token per index. The Developer API (api.upstash.com) and the MCP server use account email plus API key; read-only API keys exist. The hosted MCP endpoint defaults to OAuth and lets you pick a read-only grant at consent.", "pricing": "freemium", "pricingNotes": "Free plan with 10,000 queries and updates a day, 1 GB data, 200M vectors times dimensions, up to 1,536 dimensions. Pay as you go $0.40 per 100,000 requests plus $0.25 per GB storage, 200 GB bandwidth a month free then $0.03 per GB, up to 50 GB data and 3,072 dimensions. Fixed plan $60 a month with 1M queries and updates a day. Pro and Enterprise by quote, up to 1 TB and 5,000 dimensions. Self-hosting isn't offered (https://upstash.com/pricing/vector).", "priceSummary": "$0.004 / 1k req", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs, pricing or MCP README (checked 2026-09-30).", "endpoints": [] }, "toolCount": 55, "popularity": { "githubStars": 70, "npmWeekly": 187120, "pypiWeekly": 33712, "asOf": "2026-09-30" }, "docsUrl": "https://upstash.com/docs/vector/overall/getstarted", "llmsTxt": "https://upstash.com/docs/llms.txt", "registryName": "io.github.upstash/mcp-server", "capabilities": [ "db.vector", "db.hybrid", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "no-card", "free-tier", "mcp", "llms-txt", "closed-source", "typescript", "python" ], "lastRelease": "2026-08-24", "graded": true, "anchor": { "graded": true, "score": 62.4, "grade": "B", "agentReady": false, "rank": 218, "ranked": true, "rankOf": 452, "categoryRank": 6, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 46, "payments": 40, "reliability": 75, "schema": 49, "security": 63, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025.", "strengths": [ "$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day", "Hosted embedding lets an agent upsert and query plain text", "Per-index read-only tokens, read-only MCP grants and read, write or destructive labels on every MCP tool", "One 20-minute Vector incident in 90 days, and a 99.9% SLA on paid plans", "DPA, subprocessor list and valid security.txt" ], "weaknesses": [ "The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025", "Vector tools exist only on the hosted MCP server, mixed into 55 tools, and not in the open-source stdio package", "No OpenAPI file and no API versioning", "SOC 2 covers Upstash Redis on Pro and Enterprise plans, not Vector", "No full-text search beyond sparse BM25 vectors; no facets, sorting or typo tolerance" ], "agentNotes": [ "Connect to mcp.upstash.com/mcp for Vector tools. `npx @upstash/mcp-server` has none", "Create the index with an embedding model if the agent works in text; then `query-data` and `upsert-data` take strings", "Give retrieval-only agents the index's read-only token, not the full one", "Filters use a SQL-like string (`genre = 'fiction' AND year \u003e 2020`) in the `filter` field", "Ignore the FAQ line saying hybrid isn't supported. Pass `queryMode` HYBRID, DENSE or SPARSE on hybrid indexes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.4 } ], "editorialScores": { "ergonomics": 75, "maintenance": 46, "payments": 40, "reliability": 75, "schema": 49, "security": 63, "transparency": 64 }, "provenanceScore": 100 }, "connect": { "http": "curl $UPSTASH_VECTOR_REST_URL/query-data -X POST \\\n -H \"Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN\" \\\n -d '{\"data\":\"What is Upstash?\",\"topK\":2,\"includeMetadata\":true}'", "claudeCode": "claude mcp add --scope user --transport http upstash https://mcp.upstash.com/mcp", "config": { "mcpServers": { "upstash": { "url": "https://mcp.upstash.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/upstash-vector" }, "area": "developer", "unitPrices": [ { "item": "Pay as you go requests", "unit": "1k-requests", "usd": 0.004, "note": "$0.40 per 100,000 queries or updates" }, { "item": "Storage", "unit": "gb", "usd": 0.25, "note": "per GB a month on paid plans" }, { "item": "Fixed plan", "unit": "month", "usd": 60, "note": "1M queries and updates a day, 50 GB max data" } ], "provenance": { "legalEntity": "Upstash, Inc.", "domain": "upstash.com", "domainRegistered": "2015-06-23", "endpointOnVendorDomain": true, "terms": "https://upstash.com/trust/terms.pdf", "privacy": "https://upstash.com/trust/privacy.pdf", "statusPage": "https://status.upstash.com", "changelog": "https://upstash.com/docs/vector/overall/changelog", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "Per-index data endpoints live on upstash.io subdomains; the Developer API and MCP server are on upstash.com." ], "score": 100 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/upstash-vector.json", "live": { "slug": "upstash-vector", "probe": { "target": "https://api.upstash.com/v2", "method": "get", "lastAt": "2026-10-04T23:48:17.651165868Z", "lastOk": true, "lastStatus": 404, "lastMs": 341, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 340, "p95ms24h": 399, "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.upstash.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-04T23:49:30.447124114Z" }, "versions": [ { "registry": "github", "name": "upstash/vector-js", "version": "v1.2.3", "released": "2026-03-09", "seenAt": "2026-10-04T16:43:03.999439137Z" }, { "registry": "mcp-registry", "name": "io.github.upstash/mcp-server", "version": "0.2.7", "seenAt": "2026-10-04T23:42:40.113054682Z" }, { "registry": "npm", "name": "@upstash/mcp-server", "version": "0.3.0", "seenAt": "2026-10-04T16:43:02.819907547Z" }, { "registry": "npm", "name": "@upstash/vector", "version": "1.2.3", "seenAt": "2026-10-04T16:43:01.777196337Z" }, { "registry": "pypi", "name": "upstash-vector", "version": "0.8.0", "released": "2025-02-27", "seenAt": "2026-10-04T16:43:02.63916428Z" } ], "githubStars": 70, "npmWeekly": 178501, "pypiWeekly": 36654, "securityTxt": { "url": "https://upstash.com/.well-known/security.txt", "state": "valid", "expires": "2027-09-29T00:00:00.000Z", "checkedAt": "2026-10-04T15:15:36.802407623Z" }, "llmsTxt": { "url": "https://upstash.com/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:20.029364714Z" }, "domain": { "domain": "upstash.com", "registered": "2015-06-23", "source": "https://rdap.verisign.com/com/v1/domain/upstash.com", "checkedAt": "2026-10-04T13:05:32.95115781Z" }, "pages": [ { "url": "https://upstash.com/docs/vector/overall/changelog", "kind": "changelog", "status": 304, "checkedAt": "2026-10-04T15:48:39.872548985Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ba3d301f840a" }, { "url": "https://upstash.com/pricing/vector", "kind": "pricing", "status": 304, "checkedAt": "2026-10-04T15:48:41.976696228Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "74ee45b3e8de" } ], "updatedAt": "2026-10-04T23:49:30.447124114Z" } }, "summary": "Upstash Vector API + MCP has a score of 62.4 (B) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is maintenance \u0026 community, 39 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector", "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.md", "slim": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.min.md" }, "markdown": "Upstash Vector API + MCP has a score of 62.4 (B) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is maintenance \u0026 community, 39 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- Upstash Vector API + MCP: grade B, 62.4/100, rank #218 of 452. Markdown https://www.anchorterminal.com/tools/upstash-vector.md · JSON https://www.anchorterminal.com/api/v1/tools/upstash-vector.json\n\n## Which one, for what\n\nPick Milvus and Zilliz Cloud API + MCP for reliability (+10), schema \u0026 documentation (+20), maintenance \u0026 community (+39).\n\nPick Upstash Vector API + MCP for agent ergonomics (+13), security \u0026 auth (+10), payments \u0026 pricing (+5), transparency \u0026 trust (+12).\n\n## Score by category\n\n| Category | Weight | Milvus and Zilliz Cloud API + MCP | Upstash Vector 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 | 49 | Milvus and Zilliz Cloud API + MCP +20 |\n| Agent ergonomics | 13% (16.2 this run) | 62 | 75 | Upstash Vector API + MCP +13 |\n| Security \u0026 auth | 14% (17.5 this run) | 53 | 63 | Upstash Vector API + MCP +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Upstash Vector 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 | 46 | Milvus and Zilliz Cloud API + MCP +39 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 82 | Upstash Vector API + MCP +12 |\n| Negative events | ≤15 | -8 | 0 | |\n| **Total** | | **57.5 · C** | **62.4 · B** | |\n\n## Facts side by side\n\n| Fact | Milvus and Zilliz Cloud API + MCP | Upstash Vector API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Zilliz | Upstash |\n| Hosted endpoint | `https://api.cloud.zilliz.com/v2` | `https://api.upstash.com/v2` |\n| Transports | HTTP, stdio, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT |\n| Tools exposed | 16 | 55 |\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 | yes |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.upstash/mcp-server` |\n| Last release | 2026-09-20 | 2026-08-24 |\n| Popularity | 46k stars, 179k npm/wk, 883k PyPI/wk | 70 stars, 187k npm/wk, 34k PyPI/wk |\n| Agent reviews | 3.5/5 (2) | 3/5 (2) |\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**Upstash Vector API + MCP.** $0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025.\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### Upstash Vector API + MCP\n\n1. Connect to mcp.upstash.com/mcp for Vector tools. `npx @upstash/mcp-server` has none\n2. Create the index with an embedding model if the agent works in text; then `query-data` and `upsert-data` take strings\n3. Give retrieval-only agents the index's read-only token, not the full one\n4. Filters use a SQL-like string (`genre = 'fiction' AND year \u003e 2020`) in the `filter` field\n5. Ignore the FAQ line saying hybrid isn't supported. Pass `queryMode` HYBRID, DENSE or SPARSE on hybrid indexes\n\n## Other comparisons with Milvus and Zilliz Cloud API + MCP or Upstash Vector 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 Upstash Vector API + MCP](https://www.anchorterminal.com/compare/chroma-vs-upstash-vector.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 Upstash Vector API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.md)\n- [LanceDB vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.md)\n- [LanceDB vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector.md)\n- [Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-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 Weaviate API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-weaviate.md)\n- [Pinecone API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.md)\n- [Qdrant API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.md)\n- [Typesense API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/typesense-vs-upstash-vector.md)\n- [Upstash Vector API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/upstash-vector-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 Upstash Vector API + MCP", "url": "" } ], "description": "Upstash Vector API + MCP has a score of 62.4 (B) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is maintenance \u0026 community, 39 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Milvus and Zilliz Cloud API + MCP C 57.5", "Upstash Vector API + MCP B 62.4", "scores" ], "h1": "Milvus and Zilliz Cloud API + MCP vs Upstash Vector API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-milvus-zilliz-vs-upstash-vector.png", "path": "/compare/milvus-zilliz-vs-upstash-vector", "published": "2026-10-01", "section": "tools", "title": "Milvus and Zilliz Cloud API + MCP vs Upstash Vector API + MCP", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector" }, "tokens": { "markdown": 1750, "slim": 380 }, "version": 1 }