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

Crossref-MCP-Server
🔍 Ermöglichen Sie AI -Assistenten, über Crossref mithilfe einer einfachen MCP -Schnittstelle auf akademische Papiermetadaten zu suchen und zuzugreifen.
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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.
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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.