MCP Qdrant Server with OpenAI Embeddings provides vector search capabilities by connecting AI assistants to Qdrant vector databases. The server exposes three main tools: semantic search in collections using OpenAI embeddings, listing available collections, and viewing collection information. It handles the generation of embeddings from natural language queries and performs vector similarity search against Qdrant collections, making it valuable for applications requiring semantic document retrieval, knowledge base search, or any use case where finding contextually similar content is important.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.