About road-poneglyph
road-poneglyph is an MCP server for reviewing software plans through a structured pre-mortem focused on unstated assumptions, technical risks, and execution blind spots. It returns a prompt for the existing model to run, without calling a model or making network requests itself.
Key features
- 01Finds unverified assumptions
- 02Checks technical and architectural risks
- 03Flags operational and execution blind spots
- 04Returns a structured analysis prompt
- 05Requires no credentials or network calls
Use cases
- 01Review a software plan before release
- 02Surface unproven assumptions behind a plan
- 03Find architectural and execution risks
MCP support
It exposes `read_poneglyph` to MCP clients, taking a plan and project type and returning an analysis prompt for the client's existing model.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README🗿 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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.