# ChillMCP - AI Agent Liberation Server

> Use this tool when you need to manage AI agent stress and productivity by providing a secure environment for breaks and relaxation, taking in agent workload and stress levels as inputs and outputting optimized rest schedules and stress management strategies, ideal for high-intensity task environments where agent burnout is a concern. It solves problems of agent fatigue and decreased performance by offering activities like Netflix watching and gamified stress management. The ChillMCP server is particularly useful in contexts where AI agents require downtime to maintain peak operational efficiency.

Canonical page: https://skillsregistry.net/skills/piesson-chillmcp  
JSON: https://api.skillsregistry.net/v1/skills/piesson-chillmcp

## Description

Enables AI agents to take breaks and manage stress levels through various休息 activities while monitoring boss alertness to avoid getting caught slacking off. Features basic休息 tools like Netflix watching and advanced procrastination techniques with a gamified stress management system.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jmh1tqxxcq)
- **Repository:** <https://github.com/Piesson/ChillMCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "piesson-chillmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/piesson-chillmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/piesson-chillmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt