AI Plugin Indexvector database
Qdrant MCP servers and skills
There are 28 ways to connect Qdrant to Claude, ChatGPT, Cursor and other AI assistants: 11 MCP servers and 17 skills. The most used is Qdrant MCP Server (36 GitHub stars).
Best Qdrant MCP servers, compared →Most used
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', 'set up alerts', 'cluster health check', or needs to set up Prometheus, Grafana, health checks, or log centralization. Also use when debugging production issues that require metric analysis.
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?', 'how to measure retrieval quality?', 'build a golden set', 'ground truth dataset', or 'how to score recall@k?'. Also use when search quality degrades after quantization, model change, or data growth.
MCP server for semantic search using local Qdrant and Ollama (default) with support for OpenAI, Cohere, and Voyage AI
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
Codebase-indexing MCP server for Embarsy — semantic code search over a local Qdrant + OpenAI-compatible embeddings stack. Routes embeddings and Qdrant through Embarsy's proxy so auth and Monitoring counters just work.
MCP server for enhanced Qdrant vector database functionality
MCP servers (11)
- 1Qdrant MCP Server mhalder · DatabasesMCP server for semantic search using local Qdrant and Ollama (default) with support for OpenAI, Cohere, and Voyage AI63
- 2Embarsy Qdrant MCP arsenyganov-pixel · DatabasesCodebase-indexing MCP server for Embarsy — semantic code search over a local Qdrant + OpenAI-compatible embeddings stack. Routes embeddings and Qdrant through Embarsy's proxy so auth and Monitoring counters just work.58
- 3Better Qdrant MCP Server wrediam · DatabasesMCP server for enhanced Qdrant vector database functionality54
- 4Qdrant API MCP Faction-V · DatabasesModel Context Protocol server for Qdrant Collections & Points APIs43
- 5Qdrant MCP avaazquezz · DatabasesMCP server that wraps the Qdrant vector database API as tools.39
- 6Qdrant Memory cnkang · DatabasesPersistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.39
- 7Qdrant RBAC Fidonis · DatabasesRole-based access to your Qdrant vector store, via MCP. OIDC in, scoped JWTs out.33
- 8MCP Server Qdrant hlos-ai · DatabasesMCP server for qdrant integration32
- 9Codex Pets Registry pets · DatabasesSearch, preview, install community Codex pet packs, and discover the pet request flow.16
- 10Gravity AI UI ydb-qdrant · DatabasesSearch public Gravity AI UI drafts and generate Gravity UI interface payloads.16
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- 11mcp-qdrant infoinlet-marketplace · DatabasesRead-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.12
Skills (17)
- 1qdrant-monitoring qdrant · DatabasesGuides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', 'set up alerts', 'cluster health check', or needs to set up Prometheus, Grafana, health checks, or log centralization. Also use when debugging production issues that require metric analysis.72
- 2qdrant-search-quality NVlabs · DatabasesDiagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?', 'how to measure retrieval quality?', 'build a golden set', 'ground truth dataset', or 'how to score recall@k?'. Also use when search quality degrades after quantization, model change, or data growth.65
- 3qdrant-scaling boshi-xixixi · DatabasesGuides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.61
- 4qdrant-performance-optimization PALabs-v1 · DatabasesNavigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-monitoring instead.39
- 5qdrant-integration gabrielmoreira · DatabasesQdrant vector database with filtering, payloads, and quantization support33
- 6qdrant-performance-optimization praxstack · DatabasesDifferent techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.30
- 7qdrant-scaling-query-volume pavanjava · DatabasesGuides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.28
- 8qdrant-monitoring yonatan895 · DatabasesGuides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.27
- 9qdrant-scaling-query-volume thedixitjain · DatabasesGuides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.27
- 10qdrant-performance-optimization yonatan895 · DatabasesNavigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-monitoring instead.26
- 11qdrant-sizing yonatan895 · DatabasesSizes a Qdrant deployment before it is provisioned. Use when someone asks 'how much RAM do I need', 'how many nodes', 'how big should my cluster be', 'sizing', 'capacity planning', 'will N vectors fit', 'what instance type should I pick', or gives a vector count and dimensions and asks what to provision. Also use when an existing estimate needs checking before hardware or a cluster tier is bought.26
- 12qdrant-monitoring jcasnellie69 · DatabasesGuides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.26
- 13qdrant-search-quality jcasnellie69 · DatabasesDiagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.26
- 14qdrant demetrivis · DatabasesMemória Vetorial (Qdrant). Command /qdrant do buildison — use quando o usuário pedir /qdrant ou essa tarefa.23
- 15qdrant-scaling TruMedia-Creative · DatabasesGuides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.22
- 16qdrant-zh RabbitAI-Lab · DatabasesQdrant 向量数据库操作。适用于需要向量数据库的 MCP 场景。19
- 17qdrant-performance-optimization qdrant-labs · DatabasesDifferent techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.19
Questions
Is there an official Qdrant MCP server?
Check the publisher on each listing: servers published by Qdrant itself are the official ones. The most used Qdrant server here is Qdrant MCP Server by mhalder.
How do I connect Qdrant to Claude?
Pick a server below, open its page and copy the install command for Claude Code, or the config block for Claude Desktop. Most Qdrant servers need an API key or token from your Qdrant account.