Fable Mode
MCP serverAI & modelsAdds proof checkpoints that make an AI coding agent show evidence before writing code changes.
Unavailable. This server has no hosted endpoint yet, so ahel can't serve it.
Add to setup to save this item as a reference. ahel cannot run it, and signing in will not install it.
About this server
Mechanical write gates, evidence receipts, and adversarial review for AI coding agents.
Getting started
- Save this item in Your setup as a reference.
- Read the source or reference documentation for its setup requirements. Saving it here does not connect it to your AI.
- Check this page for availability before trying to install it through ahel.
From the project's README
As published by rex-codebase/fable-mode in README.md.
Agents that think before they write.
Fable Mode is an open-source control plane for AI coding agents.
It makes an agent deliberate, produce evidence, and survive adversarial review before it earns permission to write to your workspace. The gates are mechanical, not prompt advice: no timer, no proof, no write access.
Demo
KERR // ORRERY
One self-contained HTML file. Raw WebGL, zero libraries, zero external assets, and zero build step.
https://github.com/user-attachments/assets/8287bbfe-e3ee-4dcf-ba0f-f9ff22ae79bd
7 renders rejected before final · 2 bugs caught · 10/10 red-team probes passed
Fable Mode overview
https://github.com/user-attachments/assets/27f4f8a2-b1bb-4398-a08c-bc9fd93d69d7
Quick start
A session starts locked. Confidence does not unlock it.
- Install the MCP server using one of the options below.
- Add the optional Agent Skill if you want the full workflow.
- Ask your agent to use Fable Mode for a concrete coding task and choose a time budget.
A new session starts with execution locked:
{
"action": "create_session",
"session_name": "demo-refactor",
"objective": "Refactor the parser without changing public behavior",
"time_budget_minutes": 2
}
The agent then records evidence and an invariant. An early unlock_execution
request is rejected until the authority timer and proof prerequisites pass.
Use get_status at any point to see the active phase, remaining time, evidence
counts, and lock state.
The same gates guard every phase: evidence receipts for claims, a five-vector red-team swarm for code, and a sealed record of what was verified.
Install
pip install fable-engine
Or install the MCP server in your editor:
These links configure Fable Engine for AI agents in VS Code Chat or Cursor. They do not install a standalone editor extension. Both use uvx, which downloads and runs the pinned PyPI release in an isolated environment.
Point your agent at the MCP server manually:
// Claude Code: claude mcp add fable-engine -- uvx --from fable-engine==1.3.5 fable-engine
// Cursor: ~/.cursor/mcp.json
{
"mcpServers": {
"fable-engine": {
"command": "uvx",
"args": ["--from", "fable-engine==1.3.5", "fable-engine"]
}
}
}
Python 3.10+, zero runtime dependencies. Published on PyPI as fable-engine.
Optional: the Agent Skill
Installing fable-engine gives your agent the MCP tools. It does not install
or activate the Fable Mode Agent Skill - the prompt-side workflow in
skills/fable-mode. Nothing in the package
activates those instructions on its own; the skill is always a separate,
explicit opt-in.
The complete skill tree ships inside the wheel. To install it into your
project's skills directory (the cross-client .agents/skills/ convention):
uvx --from fable-engine==1.3.5 fable-mode install-skill --yes
This copies the skill to .agents/skills/fable-mode. Preview first with
--dry-run, choose another location with --target <dir>, and reload your
agent afterwards so it picks up the skill.
How it works
- Think — Time-locked deliberation. The agent cannot write until the timer ends.
- Prove — Claims need real evidence (tool receipts, hashes, invariants).
- Attack — A red-team swarm tries to break the code.
- Write — Only then is the workspace unlocked.
What it is not
- Not a claim of flawless code. It is a checkable workflow, not a guarantee.
- Not a bigger prompt. The locks are enforced by the engine, not by wording.
- Not a framework lock-in. It speaks MCP and runs beside your current agent.
Docs
- Start here: practical guide
- Agent Skill reference
- V1 → V2 migration
- V2 architecture
- System 3 (experimental)
Contributing
Issues and pull requests are welcome. See CONTRIBUTING.md.
MIT License · Built by REX
Signals
- GitHub stars
- 24
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Delivery
- fable-mode MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-rex-codebase-fable-mode- Source
- github.com/rex-codebase/fable-mode
github.com/rex-codebase/fable-mode
More in AI & models
MCP server · upstash
More in AI & modelsAdButler
MCP server · adbutler
More in AI & modelsatom-mcp-server
MCP server · a7om-ai
More in AI & modelsottasia
MCP server · aiweather-anurag
More in AI & modelsunphurl
MCP server · 123ergo
More in AI & modelsmicrosoft-learn-mcp
MCP server · microsoftdocs
More in AI & models