Better Qdrant MCP Server
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Related Servers
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.20 npm136Apache 2.0
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol server for agents to search, store, ingest, and maintain data in a Qdrant vector database.Apache 2.0
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- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server for ingesting, chunking and semantically searching documentation files, with support for markdown, Python, OpenAPI, HTML files and URLs.-
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: add_documents handles document insertion, delete_collection removes collections, list_collections enumerates them, and search performs similarity queries. There is no overlap in functionality, making tool selection straightforward.
All tools follow a consistent verb_noun pattern (add_documents, delete_collection, list_collections, search). The naming is uniform and predictable, with no deviations in style or convention.
With only 4 tools, the set feels thin for a vector database server, lacking operations like collection creation, document updates, or deletion. While the tools cover basic CRUD aspects, the scope is limited and may require workarounds for full functionality.
There are significant gaps in the tool surface for a Qdrant server: no create_collection tool, no update or delete document operations, and no management of embeddings or configurations. This incomplete coverage will likely cause agent failures in common workflows.