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 — every score is re-derived by the same automated method as an agent's public evidence changes.
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 and capabilities
- 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