paper-search-mcp-openai

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 

---

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.
• Deep Research Ready: Provides the standardized search and fetch tools required by OpenAI Deep Research and ChatGPT connectors.
• 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:

   uv add paper-search-mcp

1. 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:

   # Install uv if not installed
   curl -LsSf https://astral.sh/uv/install.sh | sh

   # Clone repository
   git clone https://github.com/openags/paper-search-mcp.git
   cd paper-search-mcp

   # Create and activate virtual environment
   uv venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate

1. Install Dependencies:

   # Install project in editable mode
   uv 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.

1. Clone and Set Up:

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

1. Make Changes:

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

1. Submit a Pull Request:

Push changes and create a PR on GitHub.

---

Demo

<img src="docs\images\demo.png" alt="Demo" width="800">

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.