Conqueror's Haki
Prioritizes tasks by eliminating distractions, returning a ranked shortlist based on a given goal.
README
<!-- mcp-name: io.github.xfloukiex-lab/conquerors-haki -->
⚔️ Conqueror's Haki
<img src="icon.png" width="120" align="right" alt="Conqueror's Haki icon">
An MCP server that cuts a long list down to the one to three things that actually matter right now.
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
Models tend to treat every item on a list as equally worthy of attention. That's the opposite of prioritization. Real prioritization means deciding what to ignore.
Conqueror's Haki takes a list and a single goal, forces a ruthless head-to-head ranking, and eliminates everything that doesn't directly serve that goal.
Usage
Give it your backlog and a North Star (e.g. "Launch a paid MVP in two weeks"). It returns:
- The Conquered — what was eliminated, each with a one-line reason it's a distraction
- The Standing Kings — the survivors, strictly ranked (at most three)
- Reason for Dominance — why each survivor earns the focus
Set strictness_level="Overwhelming" to force exactly one survivor.
Tool reference: assert_conquerors_haki(items_to_evaluate: list[str], north_star_goal: str, strictness_level: str = "Supreme King")
How it works
No API key, no cost, nothing leaves your machine. The server returns an engineered ranking prompt that your existing model executes — it makes no language-model call of its own.
Install
Requires Python 3.10 or newer.
pip install conquerors-haki-mcp
This installs the conquerors-haki command.
Then register it with your MCP client — either run claude mcp add conquerors-haki -- conquerors-haki,
or add this to the client's config (e.g. claude_desktop_config.json):
{
"mcpServers": {
"conquerors-haki": { "command": "conquerors-haki" }
}
}
Restart the client and the tool is available.
The Grand Line stack
Conqueror's Haki 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 |
| ⚔️ | conquerors-haki |
Conqueror's Haki · ← this repo |
| ⏳ | toki-toki |
Toki Toki no Mi |
| 🏴☠️ | laugh-tale |
Laugh Tale |
Develop
git clone https://github.com/xfloukiex-lab/conquerors-haki
cd conquerors-haki
python -m venv .venv && . .venv/Scripts/activate # macOS/Linux: source .venv/bin/activate
pip install -e ".[dev]"
python tests/test_conquerors_haki.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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.