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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

```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

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