Knuckles-Team/vector-mcp
Vector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector
This tool helps developers working with AI agents manage and retrieve information from various vector databases efficiently. It takes in documents (from local files or URLs) and stores them in organized collections within vector databases like ChromaDB or Qdrant. The output is a unified system that allows AI agents to perform hybrid searches and power retrieval-augmented generation (RAG) tasks across different database technologies. This is for AI solution architects, machine learning engineers, and developers building agent-based systems.
Use this if you are building AI agent applications and need a standardized way to manage document collections and perform searches across different vector database solutions.
Not ideal if you are looking for a standalone vector database or a tool for general data storage and retrieval that is not focused on AI agent workflows.
Stars
9
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
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