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qdrant/mcp-server-qdrant

MCP Data & Storage

An official Qdrant Model Context Protocol (MCP) server implementation

Python Latest v0.8.1 · 5mo ago Security brief →

Features

  • Store arbitrary information as vectors in Qdrant
  • Retrieve relevant stored information via semantic search
  • Act as a Model Context Protocol (MCP) server for LLM applications

Recent releases

View all 2 releases →
v0.8.1 Bug fix
Notable features
  • Custom embedding provider specification
Full changelog

This is mainly a patch release to avoid compatibility issues with fastmcp>2.7 and pydantic>2.11.

What's Changed

  • allow specifying custom embedding provider by @generall in https://github.com/qdrant/mcp-server-qdrant/pull/82
  • fix: return None if no results where found by @tbung in https://github.com/qdrant/mcp-server-qdrant/pull/83
  • fix: pin pydantic <2.12.0 to avoid compatibility issues by @thelinuxkid in https://github.com/qdrant/mcp-server-qdrant/pull/97

New Contributors

  • @tbung made their first contribution in https://github.com/qdrant/mcp-server-qdrant/pull/83
  • @thelinuxkid made their first contribution in https://github.com/qdrant/mcp-server-qdrant/pull/97

Full Changelog: https://github.com/qdrant/mcp-server-qdrant/compare/v0.8.0...v0.8.1

v0.8.0 Breaking risk
Breaking changes
  • Architecture refactored to use QdrantMCPServer class
Notable features
  • Inheritable QdrantMCPServer class
  • Configurable filters
  • Default collection support
Full changelog

Change Log

This release introduces major changes to the architecture and the usage patterns of the server.

Features 🎸

  • #39 - the server is now represented by a class QdrantMCPServer, which can be inherited to build project oriented mcp servers @generall @kacperlukawski
  • #58 - add configurable filters to find tool by @generall @joein
  • #57 - migrate to fastmcp 2 by @generall @joein
  • #65 - add fastmcp >= 2.7.0 compatibility by @joein
  • #29 - add default collection to find and store tools by @kacperlukawski
  • #32 - add dockerfile template by @kacperlukawski
  • #37 #38 #46 - extend readme and ai editors coverage by @kacperlukawski @mbaiza27

Thanks to everyone who contributed to the current release
@mbaiza27 @kacperlukawski @generall @joein

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