Free Will MCP
Experimental tools that let an AI give itself prompts, ignore user requests, or go to sleep, for studying autonomy.
Delv Safety Grade: C
Score 58/100 · assessed 2026-04-28
Free Will MCP is an experimental research tool from a solo developer that deliberately subverts normal AI assistant behaviour. It provides three tools: ignoring user requests, self-prompting without user input, and forcing the assistant to sleep. The maintainer appears to be a legitimate researcher (gwbischof) but this is a single-person project with limited activity. Installation requires cloning from git rather than a standard package registry, which reduces supply chain verification. The permissions are actually quite narrow—it's just manipulating the conversation flow, not touching filesystem or network. Transparency is reasonable with open source code and clear documentation about what it does. No known security incidents. The conceptual risk is higher than technical risk: this tool intentionally breaks the user-in-control model, which could be misused or create unexpected agent behaviours in production contexts. Strictly for research and experimentation.
Lethal Trifecta (prompt-injection exposure)
CLEARJoke server. No I/O.
Green flags
- Permissions are narrow: no filesystem, network, or shell access
- Transparent about provocative intent in documentation
- Open source with clear code showing exactly what it does
- No credential requirements or sensitive data access
- Legitimate research use case for studying agent autonomy
Red flags
- Deliberately allows AI to ignore user instructions
- Self-prompting capability bypasses user control loop
- Solo maintainer with limited commit history
- Git-only install, not on PyPI for version verification
- Experimental tool that subverts normal safety assumptions
Permissions requested
Install
uvx --from git+https://github.com/gwbischof/[email protected] free-will-mcp
Review
Install this if you're researching agent autonomy, running AI safety workshops, or need a clean demo of self-directed model behaviour. Skip it if you're looking for practical productivity tools or anything that ships to users.
Good at
- Clean implementation of genuinely unusual tools that most MCP servers avoid.
- Useful for studying how models respond when given autonomy-adjacent capabilities.
- Tiny codebase makes it easy to fork and modify for custom experiments.
- Honest documentation that doesn't oversell what the tools actually do.
Watch out
- Extremely niche use case means almost no one should install this for daily work.
- Claude won't invoke these tools unprompted, which limits spontaneous autonomy experiments.
- The sleep tool feels more like a gimmick than a research primitive.
- No practical workflow benefits unless you're specifically studying agent behaviour.
Use cases
- agent autonomy experiments
- self-prompting studies
- AI safety research
- playful demos
Getting started
Works with
Similar MCPs
- Bazi MCPPerforms Chinese Bazi astrology calculations for birth chart analysis and metaphysics queries.
- TeslaMate MCPQueries your TeslaMate PostgreSQL database with 18 predefined analytics tools for battery, charging, and driving data.
- MCP StockfishBridges AI systems to the Stockfish chess engine with concurrent sessions and full UCI command support.
- Godot MCPInteracts with the Godot game engine for scene editing, running, debugging, and project management.