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mcp-qdrant-embedding-search

MCP server that searches documents in Qdrant using embeddings from LMStudio. Takes a text query, converts it to a vector via LMStudio's OpenAI-compatible API, and performs semantic search in Qdrant.

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as last read from GitHub; most reads are from 2 Sep 2026 or later
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Install

No one-command install. Set it up from its source.

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What it is

MCP server that searches documents in Qdrant using embeddings from LMStudio. Takes a text query, converts it to a vector via LMStudio's OpenAI-compatible API, and performs semantic search in Qdrant.

When to use it

MCP server that searches documents in Qdrant using embeddings from LMStudio. Takes a text query, converts it to a vector via LMStudio's OpenAI-compatible API, and performs semantic search in Qdrant.

How to install / invoke

See Glama for the install config.

Notes

Listed from the Glama MCP registry.