What is Crossref Mcp Server

Crossref-MCP-Server is a bridge that enables AI assistants to search and access academic paper metadata through Crossref using the Model Context Protocol (MCP). It allows users to find scientific articles by DOI, title, or keywords and retrieve detailed metadata programmatically.

Use cases

Use cases include academic institutions utilizing AI to assist researchers in finding relevant literature, developers integrating Crossref-MCP-Server into applications for enhanced academic search capabilities, and funding organizations tracking research outputs.

How to use

To use Crossref-MCP-Server, clone the repository, install the required dependencies, and start the server using the command ‘python crossref_server.py’. Configure your AI assistant by adding the necessary settings in the corresponding JSON configuration file.

Key features

Key features include searching for papers by query (keywords, titles, authors), accessing detailed metadata for specific papers by DOI, searching for journals in the Crossref database, and discovering funding organizations and their supported research.

Where to use

Crossref-MCP-Server can be used in academic research, AI-assisted literature reviews, and any application requiring access to scholarly articles and their metadata.

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.