Allows searching for papers on arXiv and extracting specific paper information, enabling access to scientific research content and metadata
Provides CI/CD workflow integration with linting and test capabilities that run automatically on push or pull requests to the main branch
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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
2. Create and activate a virtual environment
3. Install dependencies
4. Run the server
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
References
Replace <your-repo-url>
with your actual repository URL after pushing to GitHub.
mcp_python
88aa9b0e1bcd2704e4fbb53f41ca4a158b4d35c8
This server cannot be installed
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.
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