sleep-tracker-ai-mcp
🔌 Lets an MCP client track sleep duration and quality, analyse patterns, and get personalised sleep recommendations. By MEOK AI Labs.
Install / Use
claude mcp add CSOAI-ORG -- npx -y github:CSOAI-ORG/sleep-tracker-ai-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Skill content
View source on GitHub{ "name": "sleep-tracker-ai-mcp", "description": "Sleep Tracker Ai MCP server. Tools: log sleep, get sleep stats, analyze patterns. Built by MEOK AI Labs.", "version": "1.0.0", "tools": [ { "name": "log_sleep", "description": "Log a sleep entry. Hours slept, quality 1-10 (10=best), optional bedtime/wake_time (HH:MM), and notes.", "parameters": { "type": "object", "properties": { "hours": { "type": "number" }, "quality": { "type": "integer" }, "bedtime": { "type": "string" }, "wake_time": { "type": "string" }, "notes": { "type": "string" } }, "required": [ "hours" ] } }, { "name": "get_sleep_stats", "description": "Get sleep statistics over the last N days. Includes averages, trends, and consistency scores.", "parameters": { "type": "object", "properties": { "days": { "type": "integer" } }, "required": [] } }, { "name": "analyze_patterns", "description": "Analyse sleep patterns to find correlations between bedtime, duration, quality, and notes.", "parameters": { "type": "object", "properties": {}, "required": [] } }, { "name": "get_recommendations", "description": "Get personalised sleep improvement recommendations based on your logged data.", "parameters": { "type": "object", "properties": {}, "required": [] } } ] }
Related Skills
Agent-Reach
78.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
ruflo
70.6k🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
headroom
69.0kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
46.8kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
Security Score
Audited on Invalid Date
