PatSnap Life Sciences
Search 1B+ biological sequences, antibodies, and multi-omics data via specialized bio-intelligence tools.
What is PatSnap Life Sciences?
PatSnap Life Sciences is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to search 1b+ biological sequences, antibodies, and multi-omics data via specialized bio-intelligence tools.
Search 1B+ biological sequences, antibodies, and multi-omics data via specialized bio-intelligence tools.
This server falls under the Data Science & ML and Search & Data Extraction categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Search 1B+ biological sequences, antibodies, and multi-omics
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx patsnap-life-sciencesConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about PatSnap Life Sciences
What is PatSnap Life Sciences?
PatSnap Life Sciences is a Model Context Protocol (MCP) server that search 1b+ biological sequences, antibodies, and multi-omics data via specialized bio-intelligence tools. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install PatSnap Life Sciences?
Follow the installation instructions on the PatSnap Life Sciences GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with PatSnap Life Sciences?
PatSnap Life Sciences works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is PatSnap Life Sciences free to use?
Yes, PatSnap Life Sciences 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 PatSnap Life Sciences 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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