论文搜索 Mcp

什么是 Paper Search MCP？

Paper Search MCP 是一个强大的工具，旨在从多个来源（包括 arXiv、PubMed、bioRxiv 等）搜索和下载学术论文。这种多源能力使研究人员、学生和学者能够高效地访问大量学术文章和论文。通过聚合来自多个数据库的内容，Paper Search MCP 简化了研究过程，并增强了对科学文献的可访问性。

Paper Search MCP 的特点

• 多源访问：无缝搜索多个学术数据库，确保全面的搜索体验。
• 用户友好的界面：直观的设计使用户能够轻松导航并快速找到相关论文。
• 下载选项：用户可以直接从平台下载论文，方便保存和引用重要研究。
• 定期更新：该工具定期更新，以包含最新的论文和研究成果，使用户了解其领域的新发展。
• 开源：作为一个开源项目，Paper Search MCP 鼓励学术界的合作和贡献。

如何使用 Paper Search MCP

1. 访问仓库：前往 Paper Search MCP 的 GitHub 仓库以访问该工具。
2. 克隆或下载：您可以使用 Git 克隆仓库或下载 ZIP 文件到本地计算机。
3. 安装：按照仓库中提供的安装说明在您的设备上设置该工具。
4. 搜索论文：使用搜索功能输入与您的研究主题相关的关键词。该工具将从多个来源检索相关论文。
5. 下载论文：一旦找到所需的论文，您可以直接下载以供参考。

常见问题解答

问：Paper Search MCP 是免费使用的吗？

答：是的，Paper Search MCP 是一个开源工具，任何人都可以免费使用。

问：我可以为 Paper Search MCP 的开发做贡献吗？

答：当然可以！欢迎贡献。您可以分叉仓库，进行更改，并提交拉取请求。

问：我可以使用 Paper Search MCP 找到什么类型的论文？

答：您可以找到各种学术论文，包括预印本、同行评审的文章以及来自不同研究领域的更多内容。

问：数据库更新的频率如何？

答：数据库定期更新，以包含来自支持来源的最新研究论文和文章。

问：Paper Search MCP 有移动版本吗？

答：目前，Paper Search MCP 主要设计用于桌面使用，但您可以通过移动浏览器访问。未来可能会根据用户需求考虑开发移动应用。

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.

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:

   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):

   {
     "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
   

2. 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.

2. 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)
   

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

<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.