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Crossref MCP Server
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Crossref MCP Server

The Crossref MCP Server is a bridge service that connects AI assistants with the Crossref academic database through the Model Context Protocol (MCP), supporting the search for papers, acquisition of metadata, and information on journals and funding agencies by DOI, title, or keywords.
Research and dataSearch tools#Academic Search#Paper Metadata#Journal Query#Funding Agency.Python
2 points
19

What is Crossref MCP Server?

This is an intelligent bridge service that connects AI assistants with global academic resources, helping you quickly find scientific research papers, journal information, and funding agency data. You can access the vast academic resources in the Crossref database through simple natural language instructions.

How to use Crossref MCP Server?

Simply enter a natural language query in a supported AI assistant (such as Claude Desktop), for example, 'Find papers on machine learning', and the system will automatically call this service to obtain the latest academic materials.

Applicable Scenarios

It is particularly suitable for data collection during academic research, literature reviews, and project establishment, as well as scenarios where you need to verify paper citation information. Researchers and students can quickly obtain structured academic data through AI assistants.

Main Functions

Academic Paper SearchSearch for interdisciplinary academic papers by keywords, titles, or author information.
Paper Metadata AcquisitionUse the DOI number to obtain the complete publication information, author institutions, and citation data of a paper.
Academic Journal QueryFind academic journals in specific fields and their publication information.
Funding Agency SearchGet detailed information about scientific research funding agencies and the research projects they support.

Advantages and Limitations

Advantages
No need to directly operate the API; you can access the academic database through natural language.
Return structured data for easy understanding and presentation by AI assistants.
Cover the metadata of major global academic publications.
Support multiple retrieval dimensions (papers/journals/funding agencies).
Limitations
Only provide metadata, not the full text of papers.
Search results are affected by the update delay of the Crossref database.
Complex queries may require multiple interactions to obtain accurate results.

How to Use

Environment Preparation
Ensure that Python 3.10+ and necessary dependency libraries are installed.
Start the Service
Run the main program to start the MCP service.
Client Configuration
Add the MCP server settings to the AI assistant configuration file (refer to the example configuration).

Usage Cases

Literature Review SupportQuickly collect key papers in a certain research field.
Reference VerificationCheck the accuracy of paper citation information.

Frequently Asked Questions

Do I need a Crossref account to use it?
What if there is a delay in the search results?
Can I get the full text of papers?

Related Resources

Crossref Official Website
Learn detailed information about the Crossref database.
GitHub Repository
Get the latest source code and submit issues.
MCP Protocol Specification
Learn the technical details of the Model Context Protocol.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "crossref": {
      "command": "python",
      "args": ["-m", "crossref_server.py"]
      }
  }
}

{
  "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": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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