About crossref-MCP-Server
crossref-MCP-Server connects AI assistants to Crossref's academic literature metadata. It supports work, journal, and funder searches, as well as metadata lookup by DOI.
Key features
- 01Search works by keywords, titles, or authors
- 02Retrieve work metadata by DOI
- 03Search Crossref journals
- 04Search funding organizations
Use cases
- 01Find papers on a research topic
- 02Inspect metadata for a known DOI
- 03Discover journals or funders
MCP support
This MCP server exposes Crossref search and metadata tools to MCP clients, including work search, DOI lookup, journal search, and funder search.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMECrossref 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 FastMCPcrossref_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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.