BONSAI Health Intelligence
Lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references.
What is BONSAI Health Intelligence?
BONSAI Health Intelligence is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references.
Lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Lifestyle medicine health intelligence via x402 micropayment
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-rabyavalla-bonsai-healthConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about BONSAI Health Intelligence
What is BONSAI Health Intelligence?
BONSAI Health Intelligence is a Model Context Protocol (MCP) server that lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install BONSAI Health Intelligence?
Follow the installation instructions on the BONSAI Health Intelligence GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with BONSAI Health Intelligence?
BONSAI Health Intelligence works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is BONSAI Health Intelligence free to use?
Yes, BONSAI Health Intelligence is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up BONSAI Health Intelligence 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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