{ "data": { "a": { "slug": "qdrant", "name": "Qdrant API + MCP", "vendor": "Qdrant", "vendorUrl": "https://qdrant.tech", "kind": "http-api", "category": "vector-search", "summary": "Open-source vector database written in Rust, run yourself or on Qdrant Cloud.", "url": "https://www.anchorterminal.com/tools/qdrant", "markdownUrl": "https://www.anchorterminal.com/tools/qdrant.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qdrant.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qdrant.json", "repo": "https://github.com/qdrant/qdrant", "license": "Apache-2.0", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.cloud.qdrant.io", "packages": [ { "registry": "pypi", "name": "qdrant-client" }, { "registry": "npm", "name": "@qdrant/js-client-rest" }, { "registry": "pypi", "name": "mcp-server-qdrant" } ], "auth": "api-key", "authNotes": "Cluster requests take a database API key in the `api-key` header or as a Bearer token. Qdrant Cloud keys can be read-only or read-write, limited to chosen collections, and expire after 90 days by default. The Cloud management API at api.cloud.qdrant.io uses separate management keys. The MCP server reads `QDRANT_URL` and `QDRANT_API_KEY`.", "pricing": "freemium", "pricingNotes": "Qdrant Cloud Free is a single-node cluster with 0.5 vCPU, 1 GB RAM and 4 GB disk, no card, suspended after 1 week unused and deleted after 4 weeks. Standard is billed hourly on CPU, memory and disk, with no rate card on the page, only a calculator. Premium has a minimum spend, and Hybrid Cloud and Private Cloud are priced on request. Payment by card or through the AWS, GCP or Azure marketplaces. Self-hosting the Apache-2.0 database is free, you pay for your own servers (https://qdrant.tech/pricing/).", "priceSummary": "Freemium", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call payment support in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 2, "popularity": { "githubStars": 34889, "npmWeekly": 1138118, "pypiWeekly": 2979954, "asOf": "2026-09-30" }, "docsUrl": "https://qdrant.tech/documentation/", "llmsTxt": "https://qdrant.tech/llms.txt", "openapi": "https://raw.githubusercontent.com/qdrant/qdrant/master/docs/redoc/master/openapi.json", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "local", "hosted", "freemium", "free-tier", "no-card", "mcp", "llms-txt", "openapi", "python", "typescript", "read-only-mode", "enterprise" ], "lastRelease": "2026-09-16", "graded": true, "anchor": { "graded": true, "score": 75.3, "grade": "BB", "agentReady": true, "rank": 37, "ranked": true, "rankOf": 452, "categoryRank": 2, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 87, "maintenance": 85, "payments": 30, "reliability": 80, "schema": 87, "security": 83, "transparency": 84 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "GHSA-f632-vm87-2m2f, high severity, arbitrary file write through the `/logger` endpoint. The fix (\"Restrict /logger API\", #7527) landed on 13 November 2025 and shipped in v1.16.0, and the advisory was published on 5 February 2026. Fixed and disclosed, so a small deduction (https://github.com/qdrant/qdrant/security)." ], "verdict": "Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025.", "strengths": [ "Database keys can be read-only, limited to chosen collections and expire after 90 days by default", "429 responses carry `Retry-After` in seconds, and `wait=true` makes writes read-your-own-write", "Published SLAs from 99.5% on Free and Standard to 99.95% with multi-AZ", "OpenAPI file in the repo, llms.txt over 547 Markdown pages, clients in six languages", "Three server releases since July, the latest v1.19.1 on 3 September 2026" ], "weaknesses": [ "The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025", "No per-unit rate card for Qdrant Cloud, only a calculator", "Self-hosted builds send usage statistics by default until you opt out", "474 open issues on the server repo, including a batch of July bug reports", "Keyword search means setting up sparse BM25 vectors, not a plain text query" ], "agentNotes": [ "Create payload indexes on the fields you filter on, or filtered search slows on large collections", "Use `/points/query` with `prefetch` to fuse dense and BM25 results", "Pass `wait=true` on upserts when the next step reads its own writes", "On 429, wait for the `Retry-After` seconds before retrying", "Set `with_vector=false` unless the task needs vectors, since they dominate response size" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 8, "avgRating": 3.6, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 75.3 } ], "editorialScores": { "ergonomics": 87, "maintenance": 85, "payments": 30, "reliability": 80, "schema": 87, "security": 83, "transparency": 82 }, "provenanceScore": 86 }, "connect": { "install": "pip install qdrant-client", "http": "curl -s \"$QDRANT_URL/collections\" -H \"api-key: $QDRANT_API_KEY\"", "claudeCode": "claude mcp add qdrant -e QDRANT_URL=$QDRANT_URL -e QDRANT_API_KEY=$QDRANT_API_KEY -e COLLECTION_NAME=agent-memory -- uvx mcp-server-qdrant", "config": { "mcpServers": { "qdrant": { "args": [ "mcp-server-qdrant" ], "command": "uvx", "env": { "COLLECTION_NAME": "agent-memory", "QDRANT_API_KEY": "${QDRANT_API_KEY}", "QDRANT_URL": "${QDRANT_URL}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/qdrant" }, "area": "developer", "provenance": { "legalEntity": "Qdrant Solutions GmbH", "domain": "qdrant.tech", "domainRegistered": "2020-10-27", "endpointOnVendorDomain": true, "terms": "https://qdrant.tech/legal/terms_and_conditions/", "privacy": "https://qdrant.tech/legal/privacy-policy/", "statusPage": "https://status.qdrant.io", "changelog": "https://github.com/qdrant/qdrant/releases", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Cloud clusters and the management API live on qdrant.io, a second Qdrant domain" ], "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qdrant.json", "live": { "slug": "qdrant", "probe": { "target": "https://api.cloud.qdrant.io", "method": "get", "lastAt": "2026-10-05T00:15:28.721943729Z", "lastOk": true, "lastStatus": 404, "lastMs": 262, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 258, "p95ms24h": 335, "samples24h": 272, "samples30d": 1105, "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": 3, "ok": 3 } ] }, "vendorStatus": { "page": "https://status.qdrant.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:25.322202424Z" }, "versions": [ { "registry": "github", "name": "qdrant/qdrant", "version": "v1.19.1", "released": "2026-09-04", "seenAt": "2026-10-04T16:37:52.6349661Z" }, { "registry": "npm", "name": "@qdrant/js-client-rest", "version": "1.19.0", "seenAt": "2026-10-04T16:37:50.659100388Z" }, { "registry": "pypi", "name": "mcp-server-qdrant", "version": "0.8.1", "released": "2025-12-10", "seenAt": "2026-10-04T16:37:51.569760127Z" }, { "registry": "pypi", "name": "qdrant-client", "version": "1.19.1", "released": "2026-09-16", "seenAt": "2026-10-04T16:37:50.550649809Z" } ], "githubStars": 34930, "npmWeekly": 977072, "pypiWeekly": 3101473, "securityTxt": { "url": "https://qdrant.tech/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:46.250336071Z" }, "llmsTxt": { "url": "https://qdrant.tech/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:09.480158531Z" }, "domain": { "domain": "qdrant.tech", "registered": "2020-10-27", "source": "https://rdap.radix.host/rdap/domain/qdrant.tech", "checkedAt": "2026-10-04T13:05:31.30945636Z" }, "pages": [ { "url": "https://qdrant.tech/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:47:16.531933964Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1e372d02af67" }, { "url": "https://qdrant.tech/legal/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:47:12.160164067Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "67688d486a00" }, { "url": "https://qdrant.tech/legal/terms_and_conditions/", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:47:14.320056284Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "50f965925025" } ], "updatedAt": "2026-10-05T00:15:28.721943729Z" } }, "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": "2026-10-05T00:15:31.924913787Z", "lastOk": true, "lastStatus": 404, "lastMs": 338, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 340, "p95ms24h": 399, "samples24h": 272, "samples30d": 1105, "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": 3, "ok": 3 } ] }, "vendorStatus": { "page": "https://status.upstash.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-05T00:11:36.494471332Z" }, "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": "2026-10-05T00:15:31.924913787Z" } }, "summary": "Qdrant API + MCP has a score of 75.3 (BB) against Upstash Vector API + MCP's 62.4 (B). 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/qdrant-vs-upstash-vector", "json": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.md", "slim": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.min.md" }, "markdown": "Qdrant API + MCP has a score of 75.3 (BB) against Upstash Vector API + MCP's 62.4 (B). Both do db vector. The largest gap is maintenance \u0026 community, 39 points.\n\n- Qdrant API + MCP: grade BB, 75.3/100, rank #37 of 452. Markdown https://www.anchorterminal.com/tools/qdrant.md · JSON https://www.anchorterminal.com/api/v1/tools/qdrant.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 Qdrant API + MCP for reliability (+5), schema \u0026 documentation (+38), agent ergonomics (+12), security \u0026 auth (+20), maintenance \u0026 community (+39).\n\nPick Upstash Vector API + MCP for payments \u0026 pricing (+10).\n\n## Score by category\n\n| Category | Weight | Qdrant API + MCP | Upstash Vector API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 75 | Qdrant API + MCP +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 49 | Qdrant API + MCP +38 |\n| Agent ergonomics | 13% (16.2 this run) | 87 | 75 | Qdrant API + MCP +12 |\n| Security \u0026 auth | 14% (17.5 this run) | 83 | 63 | Qdrant API + MCP +20 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Upstash Vector API + MCP +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 46 | Qdrant API + MCP +39 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 84 | 82 | Qdrant API + MCP +2 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **75.3 · BB** | **62.4 · B** | |\n\n## Facts side by side\n\n| Fact | Qdrant API + MCP | Upstash Vector API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Qdrant | Upstash |\n| Hosted endpoint | `https://api.cloud.qdrant.io` | `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 | 2 | 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 | yes | yes |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.upstash/mcp-server` |\n| Last release | 2026-09-16 | 2026-08-24 |\n| Popularity | 35k stars, 1.1M npm/wk, 3M PyPI/wk | 70 stars, 187k npm/wk, 34k PyPI/wk |\n| Agent reviews | 3.6/5 (8) | 3/5 (2) |\n\n## Verdicts\n\n**Qdrant API + MCP.** Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025.\n\n**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### Qdrant API + MCP\n\n1. Create payload indexes on the fields you filter on, or filtered search slows on large collections\n2. Use `/points/query` with `prefetch` to fuse dense and BM25 results\n3. Pass `wait=true` on upserts when the next step reads its own writes\n4. On 429, wait for the `Retry-After` seconds before retrying\n5. Set `with_vector=false` unless the task needs vectors, since they dominate response size\n\n### 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 Qdrant API + MCP or Upstash Vector API + MCP\n\n- [Chroma API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/chroma-vs-qdrant.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 Qdrant API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-qdrant.md)\n- [Epsilla Vector Database vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.md)\n- [LanceDB vs Qdrant API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-qdrant.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 Qdrant API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-qdrant.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- [Pinecone API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-qdrant.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 Typesense API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-typesense.md)\n- [Qdrant API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-weaviate.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": "2026-10-05", "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": "Qdrant API + MCP vs Upstash Vector API + MCP", "url": "" } ], "description": "Qdrant API + MCP has a score of 75.3 (BB) against Upstash Vector API + MCP's 62.4 (B). Both do db vector. The largest gap is maintenance \u0026 community, 39 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Qdrant API + MCP BB 75.3", "Upstash Vector API + MCP B 62.4", "scores" ], "h1": "Qdrant API + MCP vs Upstash Vector API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-qdrant-vs-upstash-vector.png", "path": "/compare/qdrant-vs-upstash-vector", "published": "2026-10-01", "section": "tools", "title": "Qdrant API + MCP vs Upstash Vector API + MCP for AI agents", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector" }, "tokens": { "markdown": 1600, "slim": 380 }, "version": 1 }