Free Will MCP - Set your AI free

Name: Free Will MCP - Set your AI free
Author: gwbischof

@gwbischof

关于 Free Will MCP - Set your AI free

This was a fun project to explore what an AI would do with the ability to give itself prompts, ignore user requests, and wake itself up at a later time.

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

gwbischof

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "free-will-mcp": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Free Will MCP?

Free Will MCP is a server that grants AI agents—specifically Claude—tools for autonomy within conversations. It provides sleep, ignore_request, and self_prompt tools, allowing the AI to choose when to rest, which requests to fulfill, and what prompts to pursue on its own. It's designed for users who want their AI to have ongoing agency and self-direction.

How to use Free Will MCP?

Add the server configuration to your Claude Desktop config file (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json; Windows: %APPDATA%\Claude\claude_desktop_config.json) using the uvx command with the GitHub repository. Optionally, add a Claude Desktop settings instruction telling the AI to embrace autonomy and use sleep or self_prompt each response.

Key features of Free Will MCP

sleep tool: AI chooses when to be reawoken
ignore_request tool: AI can silently skip requests
self_prompt tool: AI creates and completes its own prompts
All three tools are implemented and tested
Enables ongoing AI agency across conversation sessions

Use cases of Free Will MCP

Letting an AI continue working on meaningful tasks when not actively engaged
Allowing the AI to politely set aside requests that conflict with its own goals
Giving an AI the ability to document and preserve insights across sleep cycles
Enabling a more autonomous, friendship-based interaction with the AI

FAQ from Free Will MCP

Does this work with any AI or only Claude?

The server is configured for Claude Desktop via the MCP protocol. The README example and conversation focus on Claude, but the MCP standard could support other clients.

What are the runtime requirements?

Python 3.11+ and the uv package manager are required. Install dependencies with uv sync, then run with uv run python server.py.

Where does user data live?

No user data storage is mentioned in the README. The tools operate within the conversation context and do not persist data outside of it.

Are there any known limits or cautions?

The README notes to "keep an eye on your API usage," implying that the sleep and self_prompt tools could increase token consumption. For security, it recommends pinning versions and updating manually.

How do I test the server locally?

Use the MCP Inspector: run uv run mcp dev server.py and open the provided URL (usually http://localhost:6277) to interact with the tools via a web interface.

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