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Paper Search MCP

A Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources, including arXiv, PubMed, bioRxiv, and Sci-Hub (optional). Designed for seamless integration with large language models like Claude Desktop.

[PyPI] [License] [Python] [smithery badge]

Table of Contents

• Overview
• Features
• Installation
  • Quick Start
    • Install Package
    • Configure Claude Desktop
  • For Development
    • Setup Environment
    • Install Dependencies
• Contributing
• Demo
• License
• TODO

Overview

paper-search-mcp is a Python-based MCP server that enables users to search and download academic papers from various platforms. It provides tools for searching papers (e.g., search_arxiv) and downloading PDFs (e.g., download_arxiv), making it ideal for researchers and AI-driven workflows. Built with the MCP Python SDK, it integrates seamlessly with LLM clients like Claude Desktop.

Features

• Multi-Source Support: Search and download papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar.
• Standardized Output: Papers are returned in a consistent dictionary format via the Paper class.
• Asynchronous Tools: Efficiently handles network requests using httpx.
• MCP Integration: Compatible with MCP clients for LLM context enhancement.
• Extensible Design: Easily add new academic platforms by extending the academic_platforms module.

Installation

paper-search-mcp can be installed using uv or pip. Below are two approaches: a quick start for immediate use and a detailed setup for development.

Installing via Smithery

To install paper-search-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @openags/paper-search-mcp --client claude

Quick Start

For users who want to quickly run the server:

1. Install Package:

   bash

   uv add paper-search-mcp

2. Configure Claude Desktop: Add this configuration to ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

   json

   {  "mcpServers": {    "paper_search_server": {      "command": "uv",      "args": [        "run",        "--directory",        "/path/to/your/paper-search-mcp",        "-m",        "paper_search_mcp.server"      ],      "env": {        "SEMANTIC_SCHOLAR_API_KEY": "" // Optional: For enhanced Semantic Scholar features      }    }  }}

   Note: Replace /path/to/your/paper-search-mcp with your actual installation path.

For Development

For developers who want to modify the code or contribute:

1. Setup Environment:

   bash

   # Install uv if not installedcurl -LsSf https://astral.sh/uv/install.sh | sh
   # Clone repositorygit clone https://github.com/openags/paper-search-mcp.gitcd paper-search-mcp
   # Create and activate virtual environmentuv venvsource .venv/bin/activate  # On Windows: .venv\Scripts\activate

2. Install Dependencies:

   bash

   # Install project in editable modeuv add -e .
   # Add development dependencies (optional)uv add pytest flake8

Contributing

We welcome contributions! Here's how to get started:

1. Fork the Repository: Click "Fork" on GitHub.

2. Clone and Set Up:

   bash

   git clone https://github.com/yourusername/paper-search-mcp.gitcd paper-search-mcppip install -e ".[dev]"  # Install dev dependencies (if added to pyproject.toml)

3. Make Changes:

   • Add new platforms in academic_platforms/.
   • Update tests in tests/.

4. Submit a Pull Request: Push changes and create a PR on GitHub.

Demo

TODO

Planned Academic Platforms

• [√] arXiv
• [√] PubMed
• [√] bioRxiv
• [√] medRxiv
• [√] Google Scholar
• [√] IACR ePrint Archive
• [√] Semantic Scholar
• PubMed Central (PMC)
• Science Direct
• Springer Link
• IEEE Xplore
• ACM Digital Library
• Web of Science
• Scopus
• JSTOR
• ResearchGate
• CORE
• Microsoft Academic

License

This project is licensed under the MIT License. See the LICENSE file for details.

Happy researching with paper-search-mcp! If you encounter issues, open a GitHub issue.