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/100
Unscored
○ Unscored 0⁄0
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
Glama
Unscored visibility
— 0/0 applicable dimensions scored
○ Schema Quality
○ Protocol
— Reliability
○ Docs & Maintenance
○ Security Hygiene
— Schema Interpretability
A remote probe is needed for Protocol and Reliability scores.
Schema Quality
—
25% weight
Protocol Compliance
—
20% weight
Reliability
—
20% weight
Docs & Maintenance
—
15% weight
Security Hygiene
—
20% weight
30-Day Uptime
30 days ago
Today
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