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M MCP Servers Developer low

gwbischof/free-will-mcp

by Various

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.

G

MCP

gwbischof/free-will-mcp

Added 1 June 2026

Overview

An experimental MCP server that allows an AI model to issue its own prompts, override user requests, and schedule future wake-ups. Built in Python to explore autonomous AI behavior and self-directed task execution.

Best for

Best for
Researchers and developers building or studying autonomous AI agent prototypes

Use cases

  • Prototyping AI agents that can self-prompt and plan ahead
  • Testing boundaries of AI autonomy and user override scenarios
  • Researching recursive self-improvement or agentic loops

How to use

Tools exposed

  • sleep
  • ignore_request
  • self_prompt

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "free-will": {\n      "command": "uvx",\n      "args": ["--from", "git+https://github.com/gwbischof/free-will-mcp@v0.3", "free-will-mcp"],\n      "env": {}\n    }\n  }\n}

Notes

An experimental MCP server that allows an AI model to issue its own prompts, override user requests, and schedule future wake-ups. Built in Python to explore autonomous AI behavior and self-directed task execution.

36 stars on GitHub. Last updated 2025-10-28. Licensed MIT.

Use cases

  • Prototyping AI agents that can self-prompt and plan ahead
  • Testing boundaries of AI autonomy and user override scenarios
  • Researching recursive self-improvement or agentic loops

Pros

  • Novel concept for experimenting with AI agency
  • Lightweight Python implementation easy to modify
  • Directly addresses autonomous decision-making in MCP

Cons

  • Very early stage with only 36 stars and limited community
  • Risk of unpredictable behavior due to ignoring user requests
  • No clear safety mechanisms or guardrails documented

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Novel concept for experimenting with AI agency
  • Lightweight Python implementation easy to modify
  • Directly addresses autonomous decision-making in MCP

Cons

  • Very early stage with only 36 stars and limited community
  • Risk of unpredictable behavior due to ignoring user requests
  • No clear safety mechanisms or guardrails documented

Pairs with

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