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.
Repository setup guidance
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 148 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Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
Unified MCP server supporting ChromaDB, Couchbase, MongoDB Atlas, Qdrant, and PGVector for RAG-powered AI agents.
AI Engineers
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Connects to database backends New project, limited vetting
Similar or complementary options to evaluate include MCP Server Collection, mysql_mcp_server, context7.
May 31, 2026
2 security/trust notes recorded.
Setup difficulty is 3/5.