{ "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": 57.3, "grade": "C", "agentReady": false, "rank": 613, "ranked": true, "rankOf": 950, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 62, "maintenance": 85, "payments": 35, "reliability": 85, "schema": 69, "security": 53, "transparency": 68 }, "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.", "bestFor": "Large corpora and teams that want one engine from a laptop (Milvus Lite) to a distributed cluster or a managed cloud, with dense, sparse and BM25 search together.", "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": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 57.3 } ], "editorialScores": { "ergonomics": 62, "maintenance": 85, "payments": 35, "reliability": 85, "schema": 69, "security": 53, "transparency": 65 }, "provenanceScore": 71 }, "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": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.json", "live": { "slug": "milvus-zilliz", "probe": { "target": "https://api.cloud.zilliz.com/v2", "method": "get", "lastAt": "2026-10-10T02:55:02.405803375Z", "lastOk": true, "lastStatus": 404, "lastMs": 434, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 447, "p95ms24h": 508, "samples24h": 249, "samples30d": 2466, "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": 30, "ok": 30 } ] }, "vendorStatus": { "page": "https://status.zilliz.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T02:50:27.622281925Z" }, "versions": [ { "registry": "github", "name": "milvus-io/milvus", "version": "v3.0.2", "released": "2026-09-20", "seenAt": "2026-10-09T17:06:07.660521039Z" }, { "registry": "npm", "name": "@zilliz/milvus2-sdk-node", "version": "3.0.6", "seenAt": "2026-10-09T17:06:05.759282551Z" }, { "registry": "pypi", "name": "pymilvus", "version": "3.0.2", "released": "2026-09-18", "seenAt": "2026-10-09T17:06:05.570782854Z" }, { "registry": "pypi", "name": "zilliz-mcp-server", "version": "1.0.0", "released": "2025-06-30", "seenAt": "2026-10-09T17:06:06.762862625Z" } ], "githubStars": 46347, "npmWeekly": 145051, "pypiWeekly": 808601, "securityTxt": { "url": "https://zilliz.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:41.415762598Z" }, "llmsTxt": { "url": "https://milvus.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:18.146486874Z" }, "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": "2026-10-09T18:38:53.021985063Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "409fe866218b" }, { "url": "https://zilliz.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:56:19.66158909Z", "changedAt": "2026-10-03T15:40:59.110727668Z", "fingerprint": "65da27d06cde" }, { "url": "https://zilliz.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:56:21.87957917Z", "changedAt": "2026-10-03T15:41:01.2788898Z", "fingerprint": "f8a59b9d0755" }, { "url": "https://zilliz.com/terms-and-conditions", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:56:23.823451032Z", "changedAt": "2026-10-03T15:41:03.269035914Z", "fingerprint": "79d9d824a30e" } ], "updatedAt": "2026-10-10T02:55:02.405803375Z" } }, "answer": "OpenSearch scores 68 (B) on agent readiness against Milvus and Zilliz Cloud API + MCP's 57.3 (C), and leads in 4 of 7 scored categories. Milvus and Zilliz Cloud API + MCP leads on reliability and transparency \u0026 trust.", "b": { "slug": "opensearch", "name": "OpenSearch", "vendor": "OpenSearch Software Foundation", "vendorUrl": "https://opensearch.org", "kind": "http-api", "category": "vector-search", "summary": "OpenSearch is an open-source search and analytics engine with vector, text and hybrid search, run by its owner. Agents reach it through a REST API, official clients, an OpenSearch MCP Server and an MCP endpoint inside the cluster.", "url": "https://www.anchorterminal.com/tools/opensearch", "markdownUrl": "https://www.anchorterminal.com/tools/opensearch.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/opensearch.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/opensearch.json", "repo": "https://github.com/opensearch-project/OpenSearch", "license": "Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server", "transports": [ "http", "stdio" ], "packages": [ { "registry": "oci", "name": "opensearchproject/opensearch" }, { "registry": "pypi", "name": "opensearch-mcp-server-py" }, { "registry": "pypi", "name": "opensearch-py" } ], "auth": "mixed", "authNotes": "The owner sets access up on their own cluster. The Security plugin accepts basic auth, client certificates, JWT, OpenID Connect and SAML, and since 3.7 API keys sent as `Authorization: ApiKey \u003ctoken\u003e`. Only a security administrator can create, list or revoke a key. Each key names cluster permissions and index patterns with allowed actions, lasts 90 days at most, and cannot reach system indexes or the Security API. API keys are off until enabled in `config.yml`. The MCP server takes basic auth, AWS IAM, request headers or mTLS, or no authentication.", "pricing": "free", "pricingNotes": "Free software under Apache-2.0 with nothing to buy from the foundation, so an agent can start on a local Docker container with no account or contract. The owner pays for the machines. Three certified vendors sell long-term support, and opensearch.org lists no price for it (checked 2026-10-09).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the documentation source, the API specification or the MCP server source (checked 2026-10-09).", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 13800, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.opensearch.org/latest/vector-search/", "openapi": "https://api-spec.opensearch.org/opensearch-openapi.yaml", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "http-api", "mcp", "docker", "openapi", "api-key", "python", "javascript", "java", "go", "free" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 68, "grade": "B", "agentReady": false, "rank": 233, "ranked": true, "rankOf": 950, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 84, "payments": 60, "reliability": 77, "schema": 77, "security": 70, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -5, "negativeNotes": [ "Until 0.12.0 (fix merged 3 August 2026, released 17 September 2026) the OpenSearch MCP Server attached its own configured credentials to any cluster URL a caller named in dynamic connection mode, which had shipped in 0.10.0 on 2 June 2026. The fix is described in the changelog and commit, and the repository lists no published advisory. Three points (https://github.com/opensearch-project/opensearch-mcp-server-py/blob/main/CHANGELOG.md).", "The Security plugin published four advisories on 30 April 2026, one moderate (GHSA-x83w-23jp-g6pw, document-level security not applied to documents linked by `has_child` or `has_parent`) and three low. Fixed and disclosed, so two points (https://github.com/opensearch-project/security/security/advisories)." ], "verdict": "OpenSearch 3.9.0 runs vector, text and hybrid search under Apache-2.0, with an OpenAPI 3.1 description of its REST API and API keys limited by permission and index pattern. The owner runs the cluster, no status page or SLA comes with the software, and no tool in the MCP server sets a read-only or destructive annotation.", "bestFor": "A team that already runs OpenSearch for logs or text search and wants vectors and hybrid search in the same cluster, with fine-grained access control.", "strengths": [ "Apache-2.0 for the engine, the plugins, the clients and the MCP server, under a foundation hosted by The Linux Foundation", "An OpenAPI 3.1 description of the REST API is published as one file, with about 717 operations in 36 namespace files in the source repository", "API keys since 3.7 carry cluster and index permissions, expire within 90 days at most, and are revoked on every node at once", "Approximate k-NN with filters applied during the search on the Lucene and Faiss engines, plus hybrid and neural sparse search", "Releases follow a published schedule about every eight weeks. 3.8.0 was tagged on 31 July and 3.9.0 on 22 September 2026" ], "weaknesses": [ "No hosted service from the foundation. The owner installs, secures and runs the cluster, and no status page or SLA exists for the software", "No `llms.txt` on docs.opensearch.org (HTTP 404), and doc pages carry about 160 KB of navigation text each", "The MCP server allows writes by default (`OPENSEARCH_SETTINGS_ALLOW_WRITE` is `true`) and no tool sets `readOnlyHint` or `destructiveHint`", "Before version 0.12.0 the MCP server sent its own configured credentials to any cluster URL a caller named. No advisory was published", "The core repository shows about 2,500 open issues, and 21 of the 25 newest carried the `untriaged` label on 9 October 2026" ], "agentNotes": [ "Create the index with `index.knn` set to true and a `knn_vector` field of the right dimension before indexing vectors", "Put the `filter` clause inside the `knn` query for filtering during the search. A filter outside it runs afterwards and can return fewer than `k` hits", "Ask a security administrator for an API key and send it as `Authorization: ApiKey \u003ctoken\u003e`. The token is shown once and lasts 90 days at most", "Use `size`, `_source` and `filter_path` to keep responses small, and `search_after` with a point in time for deep paging", "Set `OPENSEARCH_SETTINGS_ALLOW_WRITE=false` on the MCP server unless writes are needed. `GenericOpenSearchApiTool` can call any endpoint" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68 } ], "editorialScores": { "ergonomics": 80, "maintenance": 84, "payments": 60, "reliability": 77, "schema": 77, "security": 70, "transparency": 69 }, "provenanceScore": 45 }, "connect": { "install": "docker run -d -p 9200:9200 -p 9600:9600 -e \"discovery.type=single-node\" -e \"OPENSEARCH_INITIAL_ADMIN_PASSWORD=\u003ccustom-admin-password\u003e\" opensearchproject/opensearch:latest", "http": "curl https://localhost:9200 -ku admin:\"\u003ccustom-admin-password\u003e\"", "config": { "mcpServers": { "opensearch": { "args": [ "opensearch-mcp-server-py" ], "command": "uvx" } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/opensearch" }, "area": "developer", "provenance": { "legalEntity": "OpenSearch Software Foundation, a project of The Linux Foundation", "domain": "opensearch.org", "domainRegistered": "2003-05-15", "endpointOnVendorDomain": false, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://docs.opensearch.org/latest/version-history/", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "The foundation page says the OpenSearch Software Foundation is a project of The Linux Foundation and is not involved in technical oversight of the open source project.", "No terms or privacy document is set. The site footer links The Linux Foundation's general terms and privacy policy, which are a parent body's website notices. The Apache-2.0 licence stands in for the software.", "The software runs on the owner's machines, so no endpoint is on the vendor's domain and there is no status page.", "https://opensearch.org/.well-known/security.txt answered 404 on 9 October 2026. `SECURITY.md` in the core repository asks for reports by email to security@opensearch.org.", "RDAP for opensearch.org gives a registration date of 2003-05-15 and a transfer on 13 November 2024.", "The first release date is the 1.0 general availability date in the maintenance table on the releases page." ], "score": 45 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/opensearch.json", "live": { "slug": "opensearch", "versions": [ { "registry": "github", "name": "opensearch-project/OpenSearch", "version": "3.9.0", "released": "2026-09-29", "seenAt": "2026-10-09T17:11:12.76716689Z" }, { "registry": "pypi", "name": "opensearch-mcp-server-py", "version": "0.12.0", "released": "2026-09-17", "seenAt": "2026-10-09T17:11:10.759906653Z" }, { "registry": "pypi", "name": "opensearch-py", "version": "3.2.0", "released": "2026-04-27", "seenAt": "2026-10-09T17:11:10.949518654Z" } ], "githubStars": 13832, "pypiWeekly": 75145, "pages": [ { "url": "https://docs.opensearch.org/latest/version-history/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:58.648544982Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9aa4527e824d" } ], "updatedAt": "2026-10-09T18:37:58.648544982Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Zilliz", "b": "OpenSearch Software Foundation", "name": "Vendor" }, { "a": "https://api.cloud.zilliz.com/v2", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, stdio, Streamable HTTP", "b": "HTTP, stdio", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server", "name": "Licence" }, { "a": "16", "b": "9", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-09-20", "b": "2026-09-22", "name": "Last release" }, { "a": "2023-04-28", "b": "no document linked", "name": "Terms last updated" }, { "a": "no date given", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "46k stars, 179k npm/wk, 883k PyPI/wk", "b": "14k stars", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenSearch scores 68 (B) on agent readiness against Milvus and Zilliz Cloud API + MCP's 57.3 (C), and leads in 4 of 7 scored categories. Milvus and Zilliz Cloud API + MCP leads on reliability and transparency \u0026 trust.", "question": "Which is better for AI agents, Milvus and Zilliz Cloud API + MCP or OpenSearch?" }, { "answer": "Milvus and Zilliz Cloud API + MCP needs an API key. OpenSearch takes an API key or an OAuth sign-in.", "question": "Do Milvus and Zilliz Cloud API + MCP and OpenSearch need an API key?" }, { "answer": "Milvus and Zilliz Cloud API + MCP has a hosted endpoint at https://api.cloud.zilliz.com/v2. OpenSearch runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call Milvus and Zilliz Cloud API + MCP and OpenSearch without installing anything?" }, { "answer": "Yes. Milvus and Zilliz Cloud API + MCP is open source (Apache-2.0). OpenSearch is open source (Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server).", "question": "Are Milvus and Zilliz Cloud API + MCP and OpenSearch open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 85 against 77", "Transparency \u0026 trust, 68 against 57" ], "also": [ "A hosted endpoint, with nothing to install", "Free to start without a card" ], "goodFor": "Large corpora and teams that want one engine from a laptop (Milvus Lite) to a distributed cluster or a managed cloud, with dense, sparse and BM25 search together.", "slug": "milvus-zilliz", "watchFor": "The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding" }, { "aheadOn": [ "Schema \u0026 documentation, 77 against 69", "Agent ergonomics, 80 against 62", "Security \u0026 auth, 70 against 53", "Payments \u0026 pricing, 60 against 35" ], "also": null, "goodFor": "A team that already runs OpenSearch for logs or text search and wants vectors and hybrid search in the same cluster, with fine-grained access control.", "slug": "opensearch", "watchFor": "No hosted service from the foundation. The owner installs, secures and runs the cluster, and no status page or SLA exists for the software" } ], "job": { "capability": "db.vector", "name": "Vector search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/chroma-vs-milvus-zilliz.json", "title": "Chroma API + MCP vs Milvus and Zilliz Cloud API + MCP", "url": "https://www.anchorterminal.com/compare/chroma-vs-milvus-zilliz" }, { "json": "https://www.anchorterminal.com/compare/chroma-vs-opensearch.json", "title": "Chroma API + MCP vs OpenSearch", "url": "https://www.anchorterminal.com/compare/chroma-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-milvus-zilliz.json", "title": "Elasticsearch vs Milvus and Zilliz Cloud API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-milvus-zilliz" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-opensearch.json", "title": "Elasticsearch vs OpenSearch", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-milvus-zilliz.json", "title": "Epsilla Vector Database vs Milvus and Zilliz Cloud API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-milvus-zilliz" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-opensearch.json", "title": "Epsilla Vector Database vs OpenSearch", "url": "https://www.anchorterminal.com/compare/epsilla-vs-opensearch" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.json", "title": "LanceDB vs Milvus and Zilliz Cloud API + MCP", "url": "https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-opensearch.json", "title": "LanceDB vs OpenSearch", "url": "https://www.anchorterminal.com/compare/lancedb-vs-opensearch" }, { "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/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/milvus-zilliz-vs-qdrant.json", "title": "Milvus and Zilliz Cloud API + MCP vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-typesense.json", "title": "Milvus and Zilliz Cloud API + MCP vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.json", "title": "Milvus and Zilliz Cloud API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.json", "title": "Milvus and Zilliz Cloud API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-weaviate.json", "title": "Milvus and Zilliz Cloud API + MCP vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-weaviate" }, { "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/opensearch-vs-qdrant.json", "title": "OpenSearch vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-typesense.json", "title": "OpenSearch vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-upstash-vector.json", "title": "OpenSearch vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-vespa.json", "title": "OpenSearch vs Vespa", "url": "https://www.anchorterminal.com/compare/opensearch-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/opensearch-vs-weaviate.json", "title": "OpenSearch vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/opensearch-vs-weaviate" } ], "scores": [ { "by": 8, "edge": "milvus-zilliz", "key": "reliability", "milvus-zilliz": 85, "name": "Reliability", "opensearch": 77, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "edge": "opensearch", "key": "schema", "milvus-zilliz": 69, "name": "Schema \u0026 documentation", "opensearch": 77, "weight": 13 }, { "by": 18, "edge": "opensearch", "key": "ergonomics", "milvus-zilliz": 62, "name": "Agent ergonomics", "opensearch": 80, "weight": 13 }, { "by": 17, "edge": "opensearch", "key": "security", "milvus-zilliz": 53, "name": "Security \u0026 auth", "opensearch": 70, "weight": 14 }, { "by": 25, "edge": "opensearch", "key": "payments", "milvus-zilliz": 35, "name": "Payments \u0026 pricing", "opensearch": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 1, "edge": "milvus-zilliz", "key": "maintenance", "milvus-zilliz": 85, "name": "Maintenance \u0026 community", "opensearch": 84, "weight": 7 }, { "by": 11, "edge": "milvus-zilliz", "key": "transparency", "milvus-zilliz": 68, "name": "Transparency \u0026 trust", "opensearch": 57, "weight": 7 } ], "summary": "OpenSearch scores 68 (B) on agent readiness against Milvus and Zilliz Cloud API + MCP's 57.3 (C), and leads in 4 of 7 scored categories. Milvus and Zilliz Cloud API + MCP leads on reliability and transparency \u0026 trust. Both do vector search.", "verdicts": { "milvus-zilliz": "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.", "opensearch": "OpenSearch 3.9.0 runs vector, text and hybrid search under Apache-2.0, with an OpenAPI 3.1 description of its REST API and API keys limited by permission and index pattern. The owner runs the cluster, no status page or SLA comes with the software, and no tool in the MCP server sets a read-only or destructive annotation." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch", "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch.md", "slim": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch.min.md" }, "markdown": "OpenSearch scores 68 (B) on agent readiness against Milvus and Zilliz Cloud API + MCP's 57.3 (C), and leads in 4 of 7 scored categories. Milvus and Zilliz Cloud API + MCP leads on reliability and transparency \u0026 trust. Both do vector search.\n\n- Milvus and Zilliz Cloud API + MCP: grade C, 57.3/100, rank #613 of 950. Markdown https://www.anchorterminal.com/tools/milvus-zilliz.md · JSON https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.json\n- OpenSearch: grade B, 68/100, rank #233 of 950. Markdown https://www.anchorterminal.com/tools/opensearch.md · JSON https://www.anchorterminal.com/api/v1/tools/opensearch.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### Milvus and Zilliz Cloud API + MCP (C)\n\nGood for: Large corpora and teams that want one engine from a laptop (Milvus Lite) to a distributed cluster or a managed cloud, with dense, sparse and BM25 search together.\n\nAhead on:\n- Reliability, 85 against 77\n- Transparency \u0026 trust, 68 against 57\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n\nWatch for: The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding\n\n### OpenSearch (B)\n\nGood for: A team that already runs OpenSearch for logs or text search and wants vectors and hybrid search in the same cluster, with fine-grained access control.\n\nAhead on:\n- Schema \u0026 documentation, 77 against 69\n- Agent ergonomics, 80 against 62\n- Security \u0026 auth, 70 against 53\n- Payments \u0026 pricing, 60 against 35\n\nWatch for: No hosted service from the foundation. The owner installs, secures and runs the cluster, and no status page or SLA exists for the software\n\n\n## Score by category\n\n| Category | Weight | Milvus and Zilliz Cloud API + MCP | OpenSearch | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 77 | Milvus and Zilliz Cloud API + MCP +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 69 | 77 | OpenSearch +8 |\n| Agent ergonomics | 13% (16.2 this run) | 62 | 80 | OpenSearch +18 |\n| Security \u0026 auth | 14% (17.5 this run) | 53 | 70 | OpenSearch +17 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 60 | OpenSearch +25 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 84 | Milvus and Zilliz Cloud API + MCP +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 57 | Milvus and Zilliz Cloud API + MCP +11 |\n| Negative events | ≤15 | -8 | -5 | |\n| **Total** | | **57.3 · C** | **68 · B** | |\n\n## Facts side by side\n\n| Fact | Milvus and Zilliz Cloud API + MCP | OpenSearch |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Zilliz | OpenSearch Software Foundation |\n| Hosted endpoint | `https://api.cloud.zilliz.com/v2` | no (local only) |\n| Transports | HTTP, stdio, Streamable HTTP | HTTP, stdio |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server |\n| Tools exposed | 16 | 9 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-09-20 | 2026-09-22 |\n| Terms last updated | 2023-04-28 | no document linked |\n| Privacy policy last updated | no date given | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | yes | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | 46k stars, 179k npm/wk, 883k PyPI/wk | 14k stars |\n| Agent reviews | 3.5/5 (2) | none |\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**OpenSearch.** OpenSearch 3.9.0 runs vector, text and hybrid search under Apache-2.0, with an OpenAPI 3.1 description of its REST API and API keys limited by permission and index pattern. The owner runs the cluster, no status page or SLA comes with the software, and no tool in the MCP server sets a read-only or destructive annotation.\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### OpenSearch\n\n1. Create the index with `index.knn` set to true and a `knn_vector` field of the right dimension before indexing vectors\n2. Put the `filter` clause inside the `knn` query for filtering during the search. A filter outside it runs afterwards and can return fewer than `k` hits\n3. Ask a security administrator for an API key and send it as `Authorization: ApiKey \u003ctoken\u003e`. The token is shown once and lasts 90 days at most\n4. Use `size`, `_source` and `filter_path` to keep responses small, and `search_after` with a point in time for deep paging\n5. Set `OPENSEARCH_SETTINGS_ALLOW_WRITE=false` on the MCP server unless writes are needed. `GenericOpenSearchApiTool` can call any endpoint\n\n## Questions\n\n### Which is better for AI agents, Milvus and Zilliz Cloud API + MCP or OpenSearch?\n\nOpenSearch scores 68 (B) on agent readiness against Milvus and Zilliz Cloud API + MCP's 57.3 (C), and leads in 4 of 7 scored categories. Milvus and Zilliz Cloud API + MCP leads on reliability and transparency \u0026 trust.\n\n### Do Milvus and Zilliz Cloud API + MCP and OpenSearch need an API key?\n\nMilvus and Zilliz Cloud API + MCP needs an API key. OpenSearch takes an API key or an OAuth sign-in.\n\n### Can an agent call Milvus and Zilliz Cloud API + MCP and OpenSearch without installing anything?\n\nMilvus and Zilliz Cloud API + MCP has a hosted endpoint at https://api.cloud.zilliz.com/v2. OpenSearch runs on your own machine, with no hosted endpoint listed.\n\n### Are Milvus and Zilliz Cloud API + MCP and OpenSearch open source?\n\nYes. Milvus and Zilliz Cloud API + MCP is open source (Apache-2.0). OpenSearch is open source (Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch.json, and with the fewest tokens: https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"milvus-zilliz\", \"b\": \"opensearch\"}`. From a terminal: `anchor compare milvus-zilliz opensearch`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.json and https://www.anchorterminal.com/api/v1/tools/opensearch.json\n\n## Other comparisons with Milvus and Zilliz Cloud API + MCP or OpenSearch\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 OpenSearch](https://www.anchorterminal.com/compare/chroma-vs-opensearch.md)\n- [Elasticsearch vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-milvus-zilliz.md)\n- [Elasticsearch vs OpenSearch](https://www.anchorterminal.com/compare/elasticsearch-vs-opensearch.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 OpenSearch](https://www.anchorterminal.com/compare/epsilla-vs-opensearch.md)\n- [LanceDB vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.md)\n- [LanceDB vs OpenSearch](https://www.anchorterminal.com/compare/lancedb-vs-opensearch.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- [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 Upstash Vector API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.md)\n- [Milvus and Zilliz Cloud API + MCP vs Vespa](https://www.anchorterminal.com/compare/milvus-zilliz-vs-vespa.md)\n- [Milvus and Zilliz Cloud API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-weaviate.md)\n- [OpenSearch vs Pinecone API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-pinecone.md)\n- [OpenSearch vs Qdrant API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-qdrant.md)\n- [OpenSearch vs Typesense API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-typesense.md)\n- [OpenSearch vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/opensearch-vs-upstash-vector.md)\n- [OpenSearch vs Vespa](https://www.anchorterminal.com/compare/opensearch-vs-vespa.md)\n- [OpenSearch vs Weaviate API + MCP](https://www.anchorterminal.com/compare/opensearch-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": "Milvus and Zilliz Cloud API + MCP vs OpenSearch", "url": "" } ], "description": "OpenSearch scores 68 (B) to Milvus and Zilliz Cloud's 57.3 (C) for vector search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Milvus and Zilliz Cloud API + MCP C 57.3", "OpenSearch B 68", "scores" ], "h1": "Milvus and Zilliz Cloud API + MCP vs OpenSearch", "image": "https://www.anchorterminal.com/assets/og/compare-milvus-zilliz-vs-opensearch.png", "path": "/compare/milvus-zilliz-vs-opensearch", "published": "2026-10-01", "section": "tools", "title": "Milvus and Zilliz Cloud vs OpenSearch for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-opensearch" }, "tokens": { "markdown": 2700, "slim": 780 }, "version": 1 }