Unified MCP server supporting ChromaDB, Couchbase, MongoDB Atlas, Qdrant, and PGVector for RAG-powered AI agents.
Vector MCP is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view Knuckles-Team/vector-mcp --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Single standard interface for AI agents to use any vector database — ChromaDB, PGVector, MongoDB Atlas, etc.
Unified MCP server supporting ChromaDB, Couchbase, MongoDB Atlas, Qdrant, and PGVector for RAG-powered AI agents.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 98 days ago.
8 GitHub stars indicate community interest.
2 open issues signal maintenance load.
MIT license detected.
RAG-powered queries
Vector search
Connects to database backends
New project, limited vetting
8
Stars
1
Forks
2
Issues
MIT
License
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
A secure MCP server for AI applications to interact with MySQL databases.
Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
2 security/trust notes recorded.
Setup difficulty is 3/5.