MODULAR-RAG-MCP-SERVER
Modular RAG system with MCP protocol for tool interface, enabling AI assistants to invoke functions.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Source
- mcp-github
Overview
MODULAR-RAG-MCP-SERVER is a modular RAG (Retrieval-Augmented Generation) system built on the MCP Server architecture. It integrates core components such as retrieval, multimodal processing, evaluation, and generation into a cohesive engineering project. The system supports direct invocation by AI assistants like Copilot/Claude and provides a one-click Setup Skill for environment configuration. Ideal for learning and interview preparation for roles related to large models.
Capabilities
- ▪End-to-end data ingestion
- ▪Hybrid retrieval + re-ranking
- ▪MCP protocol exposed tool interfaces
- ▪Streamlit management platform
- ▪Automated evaluation system
- ▪End-to-end white-box traceability
Use cases
Setup
After cloning the project, enter `setup` in the VS Code Copilot/Claude chat interface. The Agent will guide you through the entire configuration process.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How to get started quickly?
Clone the project and run the Setup Skill.
Who is it suitable for?
Ideal for learners and interviewees in large model-related positions.
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