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.
@gwbischof
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"free-will-mcp": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
sleep tool: AI chooses when to be reawokenignore_request tool: AI can silently skip requestsself_prompt tool: AI creates and completes its own promptsThe 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.
Python 3.11+ and the `uv` package manager are required. Install dependencies with `uv sync`, then run with `uv run python server.py`.
No user data storage is mentioned in the README. The tools operate within the conversation context and do not persist data outside of it.
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.
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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