Sleep Tracker Ai Mcp
Expose sleep-tracking data and controls to your agent while you build wellness, habit, or quantified-self features.
Overview
sleep-tracker-ai-mcp is an MCP server for the Build phase that lets coding agents interact with sleep-tracking capabilities over stdio while you implement wellness product features.
What is this MCP server?
- sleep-tracker-ai-mcp MCP server by MEOK AI Labs
- PyPI package v1.0.4 with stdio MCP transport
- Supports agent-driven sleep data workflows during app development
- GitHub-hosted manifest for CSOAI-ORG catalog discovery
- Pairs with mobile or SaaS wellness prototypes needing structured sleep APIs
- Published version 1.0.4 on PyPI identifier sleep-tracker-ai-mcp
- stdio transport per MCP 2025-12-11 server schema
- Maintainer attribution MEOK AI Labs in catalog description
What problem does it solve?
Health app builders juggle separate scripts and mock data instead of giving their agent live sleep-tracking tools during feature work.
Who is it for?
Indie builders prototyping sleep, recovery, or habit products who want MCP-native access to tracking operations early in development.
Skip if: Clinical sleep medicine deployments that need regulated devices and audited pipelines without reviewing this server’s data handling.
What do I get? / Deliverables
After registration, your agent can call sleep-tracker MCP tools while you build charts, reminders, and sync logic in one dev session.
- Agent-invokable sleep-tracking MCP tool surface
- Faster integration of sleep features into mobile or web prototypes
- Repeatable dev workflow without ad-hoc sleep mock servers
Recommended MCP Servers
Journey fit
Placement on Build reflects installing MCP tools while implementing health dashboards, wearables sync, or coaching flows—not one-off marketing. Integrations captures third-party or domain-specific sleep telemetry surfaced as callable agent tools.
How it compares
Domain sleep-data MCP connector, not a full product analytics platform or FHIR stack.
Common Questions / FAQ
Who is sleep-tracker-ai-mcp for?
It is for solo developers and small teams building sleep or wellness apps who want agent-callable tracking tools during integration work.
When should I use sleep-tracker-ai-mcp?
Use it in Build when you are connecting sleep metrics, user sessions, or coaching flows to your codebase through an MCP client.
How do I add sleep-tracker-ai-mcp to my agent?
Install sleep-tracker-ai-mcp from PyPI, configure it as a stdio MCP server in your agent, and provide any API keys or data sources the implementation requires.