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.
AIVSS 7.2 · High
View MAESTRO 7-layer threat model →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