MCP Tool Generator

Generate MCP tool handler classes, input schemas, and error handling.

3|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/IsmailAbdulkareem/Hackathon-II-Todo-Cli --skill mcp-tool-generator-ismailabdulkareem
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: MCP Tool Generator
Source: https://github.com/IsmailAbdulkareem/Hackathon-II-Todo-Cli/tree/main/.claude/skills/mcp-tool
Command: npx skills add https://github.com/IsmailAbdulkareem/Hackathon-II-Todo-Cli --skill mcp-tool-generator-ismailabdulkareem

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of Model Context Protocol (MCP) tools, streamlining the integration of AI agents by generating boilerplate code for tool handlers, input schemas, and error management.

Core Features & Use Cases

  • Automated Tool Generation: Creates MCP-compliant tool handler classes, input schemas, and error handling logic.
  • Rapid AI Integration: Accelerates the development of AI agents that need to interact with specific functionalities.
  • Use Case: Quickly generate a new tool for an AI agent to manage user preferences, including defining parameters for updating themes or notification settings.

Quick Start

Use the mcp-tool skill to generate a new tool named 'get_user_preferences' with the description 'Retrieve current user preferences'.

Frequently Asked Questions about MCP Tool Generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate MCP tools for AI agent integration?

To generate MCP tools for AI agent integration, you provide a tool name and description to automate the creation of boilerplate code, generating handler classes, input schemas, and error management logic.

What is the Model Context Protocol used for in AI agents?

The Model Context Protocol is used for structuring AI agent interactions, allowing agents to discover tool metadata, validate input schemas, and execute specific functionalities through generated handler classes.

Can I automatically create input schemas with validation for AI agent tools?

Yes, you can automatically create input schemas with validation for AI agent tools by using automated generation to produce MCP-compliant schemas alongside tool handler classes.

Does this approach support error handling and tool metadata for AI discovery?

Yes, this approach supports error handling and tool metadata for AI discovery by generating MCP-compliant code that includes structured error management logic and metadata definitions.

What is the best way to add a tool for an AI agent to manage user preferences?

The best way to add a tool for an AI agent to manage user preferences is to generate an MCP tool, providing a name like 'get_user_preferences' and a description to define parameters for updating settings.