Model Context Protocol

🚀 MCP File System API

This project implements an MCP (Model Context Protocol) server that interacts with a file system via HTTP requests. It supports file creation, reading, copying, moving, and deletion, and is implemented using FastAPI. Additionally, it integrates the Google Gemini API to process and summarize file contents.

✨ Features

• ✅ Supports reading various file formats (.txt, .csv, .json, .xml, .docx)
• ✅ Efficiently streams large files
• ✅ Integrates the Google Gemini API for text summarization
• ✅ Supports deployment on Cloud Run

🔧 Technical Details

• Python 3.9+
• FastAPI
• MCP (Model Context Protocol)
• Google Gemini API
• Uvicorn (ASGI server)
• httpx (Asynchronous HTTP requests)
• aiofiles (Asynchronous file handling)
• Docker & Cloud Run

🚀 Quick Start

1️⃣ Clone the repository

$ git clone https://github.com/Vijayk-213/Model-Context-Protocol.git
$ cd Model-Context-Protocol

2️⃣ Create a virtual environment

$ python3 -m venv venv
$ source venv/bin/activate  # Use `venv\Scripts\activate` on Windows

3️⃣ Install dependencies

$ pip install -r requirements.txt

4️⃣ Set environment variables

Create a .env file and add your Google Gemini API Key:

MCP_SERVER_URL=http://127.0.0.1:8000
GEMINI_API_KEY=your_gemini_api_key

🔄 Running the Application

Start the MCP server

$ uvicorn mcp_server:app --host 127.0.0.1 --port 8000 --reload

Run the main application

$ python main.py

📚 Documentation

📌 API Endpoints

🛠️ Future Enhancements

• ✅ Implement WebSocket to support real-time file updates
• ✅ Add support for cloud storage (Google Cloud Storage, AWS S3)
• ✅ Improve error handling and logging

📌 Contribution

Feel free to open issues or pull requests to improve the project!

🚀 Happy coding! 🎯