Unofficial Ultrahuman Ring MCP Server for AI Agent Integration
What This Is
An unofficial Model Context Protocol (MCP) server that wraps the Ultrahuman Partner API, enabling AI coding agents to directly query health data from Ultrahuman Ring and CGM devices.
Key Features & Implementation
The server provides two main tools for AI agents:
- Daily metrics: Returns a full data dump for a specified date in JSON or markdown format.
- Live value: Fetches a single metric (e.g., recovery score, sleep score, HRV) for quick status checks.
Available metrics include sleep data, HRV, resting heart rate, steps, recovery scores, glucose readings, metabolic score, and VO2 max estimates.
Setup & Requirements
The project requires:
- Python 3.10+
- Ultrahuman Partner API access (token obtained via the app's "Get help" section)
- Account email for authentication
Credentials are managed exclusively through environment variables (ULTRAHUMAN_TOKEN and ULTRAHUMAN_EMAIL), with no hardcoded values.
Compatibility & Use Cases
The MCP server works with AI setups that speak MCP, including Claude Code, Cursor, and OpenClaw. The repository includes skills that help models understand when to call the tools and how to present data for morning briefs, recovery checks, and simple analytics (weekly views, trends).
A script is also provided to generate PDF reports with charts for weekly summaries.
Project Details
- License: MIT
- Repository: https://github.com/Duzafizzl/Ultrahuman-MCP
- Status: Community project, not officially affiliated with Ultrahuman
📖 Read the full source: r/openclaw
👀 See Also
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Claude Code's Local Memory Integration with Shodh: Enhancing Context Retention Over Time
Explore Claude Code's integration with Shodh memory for long-term project context retention using a local memory server.
120 Prompt Patterns Tested: 8 That Actually Work for Claude Code
A 3-month empirical test of 120 prompt patterns for Claude Code yields 8 actionable commands and 5 validation prompts. Key patterns: L99 (cuts hedging), /ghost (removes AI voice), OODA (structured reasoning), ULTRATHINK (deep reasoning), HARDMODE (constraint debugging).
Command Center: AI Coding Env for People Who Care About Quality
Command Center is an agentic coding environment focused on the hard parts of AI-generated code: reviewing, refactoring, and shipping with traditional engineering discipline. Includes walkthroughs, refactoring agents, and snapshot recovery.