論文搜尋 Mcp

什麼是 Paper Search MCP？

Paper Search MCP 是一個強大的工具，旨在從各種來源（包括 arXiv、PubMed、bioRxiv 等）搜索和下載學術論文。這種多來源的能力使研究人員、學生和學者能夠高效地訪問大量的學術文章和論文。通過聚合來自多個數據庫的內容，Paper Search MCP 簡化了研究過程，並增強了科學文獻的可及性。

Paper Search MCP 的特點

多來源訪問：無縫地在多個學術數據庫中搜索，確保全面的搜索體驗。
用戶友好的界面：直觀的設計使得用戶能夠輕鬆導航，快速找到相關論文。
下載選項：用戶可以直接從平台下載論文，方便保存和引用重要研究。
定期更新：該工具定期更新，以包含最新的論文和研究結果，讓用戶了解其領域的新發展。
開源：作為一個開源項目，Paper Search MCP 鼓勵學術社區的合作和貢獻。

如何使用 Paper Search MCP

訪問倉庫：前往 Paper Search MCP 的 GitHub 倉庫以訪問該工具。
克隆或下載：您可以使用 Git 克隆倉庫或下載 ZIP 文件到本地機器。
安裝：按照倉庫中提供的安裝說明在您的設備上設置該工具。
搜索論文：使用搜索功能輸入與您的研究主題相關的關鍵詞。該工具將從多個來源檢索相關論文。
下載論文：一旦找到所需的論文，您可以直接下載以供參考。

常見問題解答

問：Paper Search MCP 是免費使用的嗎？

答：是的，Paper Search MCP 是一個開源工具，任何人都可以免費使用。

問：我可以為 Paper Search MCP 的開發做出貢獻嗎？

答：當然可以！歡迎貢獻。您可以分叉倉庫，進行更改，並提交拉取請求。

問：我可以使用 Paper Search MCP 找到什麼類型的論文？

答：您可以找到各種學術論文，包括預印本、同行評審的文章等，來自各個研究領域。

問：數據庫多久更新一次？

答：數據庫會定期更新，以包含來自支持來源的最新研究論文和文章。

問：Paper Search MCP 有移動版嗎？

答：目前，Paper Search MCP 主要設計用於桌面使用，但您可以通過移動瀏覽器訪問它。根據用戶需求，未來可能會考慮開發移動應用程序。

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.

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:

Install Package:
```
uv add paper-search-mcp
```

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:

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

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:

Fork the Repository: Click "Fork" on GitHub.

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)

Make Changes:
- Add new platforms in academic_platforms/.
- Update tests in tests/.
Submit a Pull Request: Push changes and create a PR on GitHub.

Demo

TODO

Planned Academic Platforms

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.

伺服器配置

{
  "mcpServers": {
    "paper-search-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/metorial/mcp-container--openags--paper-search-mcp--paper-search-mcp",
        "python -m paper_search_mcp.server"
      ],
      "env": {}
    }
  }
}