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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

git clone <your-repo-url>
cd MCP_Python

2. Create and activate a virtual environment

python3 -m venv venv
source venv/bin/activate

3. Install dependencies

pip install arxiv

4. Run the server

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


Replace <your-repo-url> with your actual repository URL after pushing to GitHub.

mcp_python

88aa9b0e1bcd2704e4fbb53f41ca4a158b4d35c8

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