MINIRAG-MCP
An MCP Server wrapper around MiniRAG that leverages LLM sampling for client-managed inference.
Core function
MiniRag is an MCP project geared towards efficient and reliable retrieval by small language models). Minirag-MCP makes MiniRAG easier to plug into on-device agent flows.
Additional bells and whistles
- UV management of dependencies that avoid complications in minirag setup
- LLM sampling (inference calls managed by MCP client) with built-in constrained decoding for enhanced reliability
Feature roadmap
- RAG retrieval
- naive retrieval algorithm, implementing a basic query of the vector database
- minirag algorithm, which operates on graph
- basic insertion (and reindexing)
- advanced insertion of content from the web
Quick Start
uv run server.py
