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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.

OpenAI Qdrant
Unscored visibility — 0/0 applicable dimensions scored
○ Schema Quality — Protocol — Reliability ○ Docs & Maintenance ○ Security Hygiene — Schema Interpretability
Schema Quality
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
25% weight
Security Hygiene
33% weight
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