mcp-builder

Design and implement Model Context Protocol servers with schema-validated tools.

2|1|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/adhi-jp/minecraft-modding-mcp --skill mcp-builder-adhi-jp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/adhi-jp/minecraft-modding-mcp/tree/main/.agents/skills/mcp-builder
Command: npx skills add https://github.com/adhi-jp/minecraft-modding-mcp --skill mcp-builder-adhi-jp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, mcp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured framework for developing Model Context Protocol (MCP) servers, ensuring that your integrations are robust, discoverable, and highly effective for LLM agents.

Core Features & Use Cases

  • Standardized Development: Follows best practices for tool naming, schema validation, and error handling to ensure agent reliability.
  • Evaluation Harness: Includes a built-in testing suite to verify that your tools perform correctly under complex, multi-step agent scenarios.
  • Use Case: Use this Skill when you need to integrate a new external API or service into your agent's capabilities, ensuring the resulting tools are intuitive and well-documented.

Quick Start

Use the mcp-builder skill to initialize a new TypeScript MCP server project structure for your target API.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I build an MCP server to integrate external APIs with LLM agents?

Initialize a new TypeScript MCP server project structure, then define robust, schema-validated tools using Zod or Pydantic with structured error handling for reliable LLM agent integration.

What is Model Context Protocol server design for AI agents?

Model Context Protocol server design creates robust, schema-validated tools with standardized naming and error handling, enabling LLM agents to seamlessly interact with external services and APIs.

Can I use Python and Pydantic to validate MCP server tools?

Yes, you can use Python and Pydantic for input validation when building MCP server tools, alongside TypeScript and Zod, ensuring robust schema enforcement for reliable agent interactions.

How do I test MCP server tools for multi-step agent scenarios?

Test MCP server tools using the included evaluation harness, which provides comprehensive testing suites to verify that your tools perform correctly under complex, multi-step agent scenarios.

Do I need Anthropic dependencies to implement Model Context Protocol servers?

Yes, implementing MCP servers requires the Anthropic and MCP dependencies to facilitate seamless LLM integration, maintain protocol compliance, and support robust agent tool evaluations.

What's the best way to handle errors in MCP server tools for LLMs?

Handle errors in MCP server tools by adopting structured error handling patterns, ensuring that agent tools remain robust, discoverable, and well-documented during complex external service integrations.