Model Context Protocol Python Server

<<<<<<< HEAD # Model Context Protocol (MCP) Python Server This repository provides a sample implementation of a Model Context Protocol (MCP) server in Python. ## Features - Search for papers on arXiv and store their information - Extract information about a specific paper - Ready for extension with more MCP tools ## Getting Started ### 1. Clone the repository ```sh git clone <your-repo-url> cd MCP_Python ``` ### 2. Create and activate a virtual environment ```sh python3 -m venv venv source venv/bin/activate ``` ### 3. Install dependencies ```sh pip install arxiv ``` ### 4. Run the server ```sh python mcp_server/server.py ``` ## GitHub Actions CI - On every push or pull request to `main`, the workflow runs linting and (placeholder) tests. - Add your tests in the `tests/` directory. ## Project Structure ``` mcp_server/ server.py # MCP server implementation .github/ workflows/ci.yml # GitHub Actions workflow README.md ``` ## References - [Model Context Protocol](https://modelcontextprotocol.io/llms-full.txt) - [arxiv Python package](https://pypi.org/project/arxiv/) --- # Replace `<your-repo-url>` with your actual repository URL after pushing to GitHub. # mcp_python > > > > > > > 88aa9b0e1bcd2704e4fbb53f41ca4a158b4d35c8