io.github.xfloukiex-lab/road-poneglyph
Finds a plan's blind spots: unstated assumptions, omitted risks, and missing pieces.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
road-poneglyph-mcpclaude mcp add road-poneglyph -- uvx road-poneglyph-mcp==0.1.0 road-poneglyph
{
"mcpServers": {
"road-poneglyph": {
"command": "uvx",
"args": [
"road-poneglyph-mcp==0.1.0",
"road-poneglyph"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
🗿 Road Poneglyph
An MCP server that reviews a plan for what's missing — the assumptions, risks, and gaps you never wrote down.
A Model Context Protocol (MCP) server — one focused tool you plug into an MCP-compatible client (Claude Desktop, Claude Code, Cursor, and others).
What it does
Language models are good at responding to what's in front of them and poor at noticing what isn't there. Ask one to critique a plan and it tends to react to the words on the page rather than the unstated assumptions behind them.
Road Poneglyph runs a structured pre-mortem over a plan and reports only the negative space — what was assumed without proof, what was technically glossed over, and what was skipped on the way to shipping.
Usage
Point your assistant at a plan and ask it to read the poneglyph. The tool returns a focused analysis in three sections:
- The Void Century — unstated assumptions the plan depends on
- Hidden Reef — omitted technical and architectural risks
- The Treacherous Seas — operational and execution blind spots
Tool reference: read_poneglyph(current_plan: str, project_type: str = "Software")
How it works
No API key, no cost, nothing leaves your machine. The server doesn't call a language model itself — it returns a carefully engineered analysis prompt that the model you're already talking to executes. Zero credentials, zero network calls.
Install
Requires Python 3.10 or newer.
pip install road-poneglyph-mcp
This installs the road-poneglyph command.
Then register it with your MCP client — either run claude mcp add road-poneglyph -- road-poneglyph,
or add this to the client's config (e.g. claude_desktop_config.json):
{
"mcpServers": {
"road-poneglyph": { "command": "road-poneglyph" }
}
}
Restart the client and the tool is available.
The Grand Line stack
Road Poneglyph is part of a four-tool set. Each tool stands alone, but installing all of them unlocks a final surprise via Laugh Tale.
| Package | ||
|---|---|---|
| 🗿 | road-poneglyph | Road Poneglyph · ← this repo |
| ⚔️ | conquerors-haki | Conqueror's Haki |
| ⏳ | toki-toki | Toki Toki no Mi |
| 🏴☠️ | laugh-tale | Laugh Tale |
Develop
git clone https://github.com/xfloukiex-lab/road-poneglyph
cd road-poneglyph
python -m venv .venv && . .venv/Scripts/activate # macOS/Linux: source .venv/bin/activate
pip install -e ".[dev]"
python tests/test_road_poneglyph.py
Attribution & license
Released under the Apache-2.0 license. The icon is original artwork
(see icon.svg), generated locally; the repository ships no third-party assets.
This is a fan-inspired project. It is not affiliated with, sponsored by, or endorsed by the creators or rights holders of One Piece (Eiichiro Oda / Shueisha / Toei Animation). "One Piece" and related names are used only as thematic flavour and remain the property of their respective owners.
Frequently asked questions
What is io.github.xfloukiex-lab/road-poneglyph?
Finds a plan's blind spots: unstated assumptions, omitted risks, and missing pieces.
How do I install io.github.xfloukiex-lab/road-poneglyph?
It runs on your machine. In Claude Code: claude mcp add road-poneglyph -- uvx road-poneglyph-mcp==0.1.0 road-poneglyph. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.xfloukiex-lab/road-poneglyph need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.xfloukiex-lab/road-poneglyph open source?
Yes. Its code is on GitHub under the Apache-2.0 license.
Who maintains io.github.xfloukiex-lab/road-poneglyph?
It is published by xfloukiex-lab. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.