Knuckles-Team/vector-mcp
Vector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector
Implements standardized MCP tool interfaces for hybrid lexical-vector search, collection lifecycle management, and RAG workflows across heterogeneous vector databases through a stdio-based transport layer. Built on FastAPI with pluggable database adapters, enabling agents to perform semantic retrieval and document ingestion without database-specific logic. Integrates with Claude, other AI frameworks via the Model Context Protocol, and supports multiple authentication schemes (JWT, OAuth2, OIDC) for production deployment.
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9
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
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