Which integrations are available for this server?

Provides tools to search and retrieve metadata for scholarly works, journals, and funding organizations using DOI identifiers and keyword queries via the Crossref database.

How do I use Crossref MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Crossref MCP Server Find recent research papers about large language models and their ethics" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Clone the repository:
git clone https://github.com/JackKuo666/Crossref-MCP-Server.git cd Crossref-MCP-Server
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:

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