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✨ 개요

** MCP Server**를 가진 Agentic RAG는 MCP(모델 Context Protocol) 서버와 클라이언트를 함께 제공하는 강력한 프로젝트입니다 Agentic RAG(Retrieval-Augmented Generation) 애플리케이션.

이 설정은 다음과 같은 고급 도구를 사용하여 RAG 시스템을 허용합니다.

• ️ ♂️Entity Extraction
• 🇨🇳 ** 쿼리 정의 **
• ✅ **Relevance Checking **

서버는 이러한 지능형 도구를 호스팅하고 클라이언트가 원활하게 연결하고 활용하는 방법을 보여줍니다.

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̇️ 서버 — [T0]]

FastMCP] 클래스의 mcp 라이브러리에서, 서버는 이러한 편리한 도구를 노출:

| 도구 이름 | 설명 | 아이콘 | | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | get_time_with_prefix|현재의 날짜 및 시간**|| | extract_entities_tool | 용도 OpenAI 쿼리에서 엔티티티를 추출할 수 있습니다. | refine_query_tool | OpenAI-powered refinement | ✨ | 의 품질 향상 | check_relevance | LLM을 이용한 펑크의 반란을 확인하여 부정확한 콘텐츠를 필터링 | ✅ |

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🚀 Agentic RAG with MCP Server

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✨ Overview

Agentic RAG with MCP Server is a powerful project that brings together an MCP (Model Context Protocol) server and client for building Agentic RAG (Retrieval-Augmented Generation) applications.

This setup empowers your RAG system with advanced tools such as:

• 🕵️‍♂️ Entity Extraction
• 🔍 Query Refinement
• ✅ Relevance Checking

The server hosts these intelligent tools, while the client shows how to seamlessly connect and utilize them.

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🖥️ Server — server.py

Powered by the FastMCP class from the mcp library, the server exposes these handy tools:

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🤝 Client — mcp-client.py

The client demonstrates how to connect and interact with the MCP server:

• Establish a connection with ClientSession from the mcp library
• List all available server tools
• Call any tool with custom arguments
• Process queries leveraging OpenAI or Gemini and MCP tools in tandem

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⚙️ Requirements

• Python 3.9 or higher
• openai Python package
• mcp library
• python-dotenv for environment variable management

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🛠️ Installation Guide

# Step 1: Clone the repository
git clone https://github.com/ashishpatel26/Agentic-RAG-with-MCP-Server.git

# Step 2: Navigate into the project directory
cd Agentic-RAG-with-MCP-Serve

# Step 3: Install dependencies
pip install -r requirements.txt

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🔐 Configuration

1. Create a .env file (use .env.sample as a template)
2. Set your OpenAI model in .env:

OPENAI_MODEL_NAME="your-model-name-here"
GEMINI_API_KEY="your-model-name-here"

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🚀 How to Use

1. Start the MCP server:

python server.py

2. Run the MCP client:

python mcp-client.py

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📜 License

This project is licensed under the MIT License.

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Thanks for Reading 🙏