Cover image
Try Now
2025-04-06

🔍 Enable AI assistants to search and access academic paper metadata through Crossref using a simple MCP interface.

3 years

Works with Finder

1

Github Watches

0

Github Forks

0

Github Stars

Crossref MCP Server

🔍 Enable AI assistants to search and access academic paper metadata through Crossref using a simple MCP interface.

The Crossref MCP Server provides a bridge between AI assistants and Crossref's database of academic literature through the Model Context Protocol (MCP). It allows AI models to search for scientific articles by DOI, title, or keywords, access their metadata, and retrieve journal and funder information in a programmatic way.

✨ Core Features

  • 🔎 Work Search by Query: Find papers using keywords, titles, or authors ✅
  • 📊 Metadata Access: Retrieve detailed metadata for specific papers by DOI ✅
  • 📚 Journal Search: Find journals in the Crossref database ✅
  • 💰 Funder Search: Discover funding organizations and their supported research ✅

🚀 Quick Start

Prerequisites

  • Python 3.10+
  • FastMCP library

Installation

  1. Clone the repository:

    git clone https://github.com/JackKuo666/Crossref-MCP-Server.git
    cd Crossref-MCP-Server
    
  2. Install the required dependencies:

    pip install -r requirements.txt
    

📊 Usage

Start the MCP server:

python crossref_server.py

Usage with Claude Desktop or Cline

Add this configuration to your cline_mcp_settings.json or claude_desktop_config.json:

(Mac OS)

{
  "mcpServers": {
    "crossref": {
      "command": "python",
      "args": ["-m", "crossref_server.py"]
      }
  }
}

(Windows version):

{
  "mcpServers": {
    "crossref": {
      "command": "C:\\Users\\YOUR\\PATH\\miniconda3\\envs\\mcp_server\\python.exe",
      "args": [
        "D:\\code\\YOUR\\PATH\\Crossref-MCP-Server\\crossref_server.py"
      ],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}

🛠 MCP Tools

The Crossref MCP Server provides the following tools:

  1. search_works_by_query: Search for scholarly works using keywords, titles, or authors.
  2. get_work_metadata: Get detailed metadata for a specific work using its DOI.
  3. search_journals: Search for journals in the Crossref database.
  4. search_funders: Search for funding organizations in the Crossref database.

Searching Works by Query

You can ask the AI assistant to search for papers using keywords:

Can you search Crossref for papers about "machine learning in healthcare"?

Getting Work Metadata by DOI

You can get detailed metadata for a specific paper using its DOI:

Can you show me the metadata for the paper with DOI 10.1038/nature14539?

Searching Journals

You can search for journals in the Crossref database:

Can you find journals related to "artificial intelligence" in Crossref?

Searching Funders

You can search for funding organizations:

Can you find information about the "National Science Foundation" in Crossref?

📁 Project Structure

  • crossref_server.py: The main MCP server implementation using FastMCP
  • crossref_search.py: Contains the logic for searching Crossref and retrieving metadata

🔧 Dependencies

  • Python 3.10+
  • FastMCP (mcp)
  • requests
  • bs4
  • habanero

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License.

⚠️ Note

This tool uses the Crossref API to access publicly available metadata about academic works. For better API access priority, it's recommended to provide your email address when initializing the CrossrefSearch class.

相关推荐

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • https://zenepic.net
  • Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • https://reddgr.com
  • Delivers concise Python code and interprets non-English comments

  • 林乔安妮
  • A fashion stylist GPT offering outfit suggestions for various scenarios.

  • 1Panel-dev
  • 💬 MaxKB is a ready-to-use AI chatbot that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.

  • ShrimpingIt
  • Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx

  • GLips
  • MCP server to provide Figma layout information to AI coding agents like Cursor

  • Dhravya
  • Collection of apple-native tools for the model context protocol.

  • open-webui
  • User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  • Mintplex-Labs
  • The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

    Reviews

    5 (1)
    Avatar
    user_6YInSgew
    2025-04-18

    I've been using the Crossref-MCP-Server by JackKuo666, and it has significantly improved my workflow. The server is efficient, user-friendly, and integrates seamlessly with my existing tools. Highly recommend it for anyone in need of a robust MCP application! Check it out on GitHub.