mcp-builder

Develops MCP servers in TypeScript or Python with testing and evaluation.

Updated Feb 23, 2026
One-click install
npx skills add https://github.com/TavokAI/Tavok --skill mcp-builder-tavokai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/TavokAI/Tavok/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/TavokAI/Tavok --skill mcp-builder-tavokai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide and resources for developing robust Model Context Protocol (MCP) servers, enabling Large Language Models (LLMs) to interact with external services through well-defined tools.

Core Features & Use Cases

  • End-to-End Development Guide: Covers research, implementation, testing, and evaluation phases for MCP servers.
  • Language-Specific Guidance: Detailed instructions for both TypeScript (recommended) and Python implementations.
  • Best Practices: Adheres to MCP protocol specifications, tool design principles, and security standards.
  • Use Case: A developer needs to build an MCP server that allows an LLM to query a company's internal knowledge base. This Skill guides them through researching the API, designing tools, implementing the server in TypeScript, and creating evaluations to ensure LLM usability.

Quick Start

Follow the guide to implement an MCP server using the recommended TypeScript SDK.

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?

To build an MCP server, you research external APIs, design tools, implement the server using TypeScript or Python, and create evaluations to ensure LLM usability and security. This process follows MCP protocol specifications and best practices.

What is the best way to design tools for an MCP server?

The best way to design MCP server tools is by adhering to MCP protocol specifications and tool design principles. This ensures secure and well-defined interactions between Large Language Models and external services.

Should I use TypeScript or Python for MCP server implementation?

TypeScript is the recommended language for MCP server implementation, utilizing the TypeScript SDK. Python implementation is also supported with detailed instructions provided for both languages.

Can I use this guide to connect an LLM to an internal knowledge base?

Yes, you can connect an LLM to an internal knowledge base by implementing an MCP server. The guide covers researching the API, designing tools, server implementation, and testing for LLM usability.

How do I test and evaluate an MCP server after implementation?

You test and evaluate an MCP server by creating specific evaluations during the development phases. This ensures the implemented tools function correctly and maintain LLM usability and security standards.

What security standards apply to Model Context Protocol server development?

MCP server development adheres to specific MCP protocol specifications and security standards. Following these best practices during tool design and implementation ensures secure LLM interaction with external services.