mcp-builder

Build MCP servers with architectural guidance and testing frameworks.

Updated May 5, 2026
One-click install
npx skills add https://github.com/iani-kuli/harness_bro --skill mcp-builder-iani-kuli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/iani-kuli/harness_bro/tree/main/.claude/skills/curated/mcp-builder
Command: npx skills add https://github.com/iani-kuli/harness_bro --skill mcp-builder-iani-kuli

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the complex process of designing, implementing, and testing Model Context Protocol (MCP) servers, ensuring your tools are reliable and effective for LLM agents.

Core Features & Use Cases

  • Standardized Workflow: Provides a structured 4-phase process from research to evaluation.
  • Best Practices: Includes guidelines for tool naming, pagination, and error handling to ensure high-quality agent interactions.
  • Evaluation Harness: Offers a built-in testing framework to verify tool performance against realistic, complex scenarios.

Quick Start

Use the mcp-builder skill to initialize a new MCP server project following the recommended TypeScript structure and best practices.

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 for LLM integration?

You can build an MCP server for LLM integration by following a structured 4-phase workflow that provides architectural guidance and testing frameworks, ensuring your tools are reliable for agent interactions.

Can I use Python to create MCP servers for external API integration?

Yes, you can create MCP servers for external API integration using Python. The skill supports development in both Python and TypeScript environments by providing best practices for tool implementation.

What are the best practices for MCP server tool naming and error handling?

Best practices for MCP server tool naming and error handling include adhering to standardized naming conventions, implementing proper pagination, and applying schema validation protocols to ensure high-quality agent interactions.

How do I test and evaluate MCP server tools against complex scenarios?

To test and evaluate MCP server tools against complex scenarios, you use a built-in evaluation harness that provides a rigorous testing framework to verify tool performance and ensure reliability for LLM agents.

Do I need the Anthropic dependency to develop Model Context Protocol servers?

Yes, you need the Anthropic dependency to develop Model Context Protocol servers, as it provides the foundational frameworks required for LLM integration and communication alongside the core MCP dependency.