
Crossref-MCP-Server
🔍 Enable AI assistants to search and access academic paper metadata through Crossref using a simple MCP interface.
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
-
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.
相关推荐
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.
Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.
Advanced software engineer GPT that excels through nailing the basics.
Converts Figma frames into front-end code for various mobile frameworks.
Take an adjectivised noun, and create images making it progressively more adjective!
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
🧑🚀 全世界最好的LLM资料总结(Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
Reviews

user_6YInSgew
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.