ScholarFetch
Multi-engine scholarly research server for search, traversal, full text, and reading lists.
What is ScholarFetch?
ScholarFetch is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to multi-engine scholarly research server for search, traversal, full text, and reading lists.
Multi-engine scholarly research server for search, traversal, full text, and reading lists.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Multi-engine scholarly research server for search, traversal
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-laibniz-scholarfetchConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about ScholarFetch
What is ScholarFetch?
ScholarFetch is a Model Context Protocol (MCP) server that multi-engine scholarly research server for search, traversal, full text, and reading lists. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install ScholarFetch?
Follow the installation instructions on the ScholarFetch GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with ScholarFetch?
ScholarFetch works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is ScholarFetch free to use?
Yes, ScholarFetch 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 ScholarFetch 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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