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Monster Hunter World Helper MCP Server

@likweitan

An MCP (Model Context Protocol) server that provides tools and resources for accessing Monster Hunter World game data via the MHW DB API.

Overview

What is Monster Hunter World Helper MCP Server?

An MCP server that provides tools and resources for accessing Monster Hunter World game data via the MHW DB API. It is designed for players and developers who want to look up monsters, weapons, armor, and get hunting or farming guidance through natural language interactions.

How to use Monster Hunter World Helper MCP Server?

Clone the repository, run npm install and npm run dev. The server starts in stdio mode and connects automatically to Roo if a .roo/mcp.json configuration is present. Use the provided resources, tools, and prompts through any MCP‑compatible client.

Key features of Monster Hunter World Helper MCP Server

  • Resource endpoints: monster://{id} and armor-set://{id}
  • Tool find-monster – search monsters by name, get weaknesses and locations
  • Tool find-weapon-path – get complete crafting tree with materials
  • Tool find-armor-by-skill – list armor pieces matching a skill
  • Prompt monster-guide – comprehensive hunting guide for a monster
  • Prompt farming-guide – efficient farming strategies for an item
  • Prompt build-planner – build recommendations based on weapon and playstyle

Use cases of Monster Hunter World Helper MCP Server

  • Quickly look up a monster’s weaknesses, drop locations, and species
  • Plan weapon upgrades by viewing the full crafting tree and required materials
  • Find armor pieces that grant a specific skill for build optimization
  • Get a step‑by‑step hunting guide including recommended items and mechanics
  • Obtain tailored farming strategies for rare materials
  • Generate build suggestions based on weapon type and defensive or DPS playstyle

FAQ from Monster Hunter World Helper MCP Server

What data source does the server use?

The server fetches all game data from the MHW DB API.

Does the server cache responses?

Yes, it uses an in‑memory cache to store API responses.

How are errors handled?

The server logs detailed error messages for API connection failures, resource not found, and invalid parameters, and returns appropriate error responses.

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