Qdrant Search MCP
Semantic code-search MCP using Qdrant, letting agents find relevant code snippets across indexed codebases in natural language.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Qdrant Search MCP, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Qdrant Search MCP provides semantic code search over indexed codebases using the Qdrant vector database, answering natural-language queries with relevant snippets. Security surface: the indexed code (which may contain secrets or proprietary logic) becomes retrievable through the agent, and the server holds Qdrant connection details.
Key features
- Semantic search over source code
- Qdrant vector index
- Natural-language code queries
- Multi-codebase indexing
Use cases
- Find code by describing what it does
- RAG over a large internal codebase