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.
Repository setup guidance
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 194 days ago.
8 GitHub stars indicate community interest.
2 open issues signal maintenance load.
MIT license detected.
2 security/trust notes recorded.
Setup difficulty is 3/5.
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
Zero-dependency, token-efficient MCP server for querying multiple databases via a single interface.
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Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
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.
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MIT
License
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, dbhub, mysql_mcp_server.
Aug 20, 2026