Grebi
HPC aggregation pipeline and API/MCP server for LLM-mediated biomedical data integration
What is Grebi?
Grebi is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to hpc aggregation pipeline and api/mcp server for llm-mediated biomedical data integration
HPC aggregation pipeline and API/MCP server for LLM-mediated biomedical data integration
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- HPC aggregation pipeline and API/MCP server for LLM-mediated
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx grebiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Grebi
What is Grebi?
Grebi is a Model Context Protocol (MCP) server that hpc aggregation pipeline and api/mcp server for llm-mediated biomedical data integration It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Grebi?
Follow the installation instructions on the Grebi GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Grebi?
Grebi works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Grebi free to use?
Yes, Grebi is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up Grebi 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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