Crossref Scholarly Data
Search 150M+ academic works, journals, and funders via Crossref API.
What is Crossref Scholarly Data?
Crossref Scholarly Data is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to search 150m+ academic works, journals, and funders via crossref api.
Search 150M+ academic works, journals, and funders via Crossref API.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Search 150M+ academic works, journals, and funders via Cross
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-taru0208-crossrefConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Crossref Scholarly Data
What is Crossref Scholarly Data?
Crossref Scholarly Data is a Model Context Protocol (MCP) server that search 150m+ academic works, journals, and funders via crossref api. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Crossref Scholarly Data?
Follow the installation instructions on the Crossref Scholarly Data GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Crossref Scholarly Data?
Crossref Scholarly Data works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Crossref Scholarly Data free to use?
Yes, Crossref Scholarly Data is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
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Set Up Crossref Scholarly Data in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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