mcp-builder

Develop and evaluate MCP servers using TypeScript or Python SDKs.

Updated Nov 22, 2025
One-click install
npx skills add https://github.com/tom-xs/nixos-dotfiles --skill mcp-builder-tom-xs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/tom-xs/nixos-dotfiles/tree/main/ai/kimi-skills/skills/mcp-builder
Command: npx skills add https://github.com/tom-xs/nixos-dotfiles --skill mcp-builder-tom-xs

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complexity of creating robust Model Context Protocol (MCP) servers, ensuring that LLMs can reliably interact with external APIs and services through well-structured, discoverable tools.

Core Features & Use Cases

  • Standardized Development: Provides a structured workflow for planning, implementing, and testing MCP servers in TypeScript or Python.
  • Quality Assurance: Includes a comprehensive evaluation framework to test tool effectiveness using realistic, complex, and stable QA pairs.
  • Best Practices: Offers guidance on tool naming, pagination, error handling, and transport selection to ensure seamless integration with any MCP client.

Quick Start

Use the mcp-builder skill to initialize a new MCP server project and generate a set of evaluation questions 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 for LLM integration with external APIs?

To build an MCP server for LLM integration, use a structured workflow to implement tools in TypeScript or Python. This ensures reliable interaction with external APIs through standardized naming, pagination, and error handling patterns.

Can I use Python to implement Model Context Protocol servers for automation?

Yes, you can use the Python SDK to implement Model Context Protocol servers. The skill supports both Python and TypeScript SDKs for building robust tools that enable seamless LLM integration with external services.

What is the best way to evaluate MCP server tool effectiveness before deployment?

The best way to evaluate MCP server tool effectiveness is by creating a comprehensive, read-only evaluation suite. This framework tests tool reliability using realistic, complex, and stable QA pairs to verify performance.

Does the Model Context Protocol support standardized error handling and pagination?

Yes, the Model Context Protocol supports standardized error handling and pagination. The skill provides best practices for these patterns to ensure your tools achieve seamless integration with any MCP client.

What prerequisites do I need to start developing MCP servers?

To start developing MCP servers, you need the Anthropic and MCP dependencies installed. You also need a target external API or service to connect with, enabling the creation of structured, discoverable tools for LLMs.

Why does my LLM tool integration fail when connecting to external services?

LLM tool integration fails when connecting to external services due to poorly structured tools. Implementing robust MCP servers with standardized naming and error handling patterns ensures reliable API interaction.