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Model Context Protocol Python Server

by vnkishortech
GitHub
Python
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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

This server cannot be installed

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security - not tested
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license - not found
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quality - not tested

How are these scores calculated?

A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.

  1. Features
    1. Getting Started
      1. 1. Clone the repository
      2. 2. Create and activate a virtual environment
      3. 3. Install dependencies
      4. 4. Run the server
    2. GitHub Actions CI
      1. Project Structure
        1. References
          1. Replace \<your-repo-url> with your actual repository URL after pushing to GitHub.
            1. mcp_python

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