mcp-builder

Create MCP servers in Python or Node/TypeScript with tool design and validation.

6|Updated Aug 19, 2025
One-click install
npx skills add https://github.com/lv416e/dotfiles --skill mcp-builder-lv416e
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/lv416e/dotfiles/tree/main/dot_claude/skills/mcp-builder
Command: npx skills add https://github.com/lv416e/dotfiles --skill mcp-builder-lv416e

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, node.js, npm, pnpm, fastmcp, mcp-sdk, pydantic, zod, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Integrating LLMs with external services requires building high-quality Model Context Protocol (MCP) servers with well-designed tools. This skill provides a comprehensive guide for developing effective MCP servers in Python or Node/TypeScript, ensuring seamless AI interaction.

Core Features & Use Cases

  • Agent-Centric Design: Emphasizes building tools for workflows, optimizing for limited context, and actionable error messages.
  • Deep Research & Planning: Guides through understanding MCP protocol, SDKs, and API documentation to create a detailed implementation plan.
  • Systematic Implementation: Provides best practices for setting up project structure, implementing core infrastructure, and systematically building tools.
  • Comprehensive Evaluations: Guides the creation of realistic, complex, and read-only evaluation questions to test server effectiveness.

Quick Start

I need to build an MCP server to integrate with our internal CRM API. Use the mcp-builder skill to guide me through the design and implementation process.

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 connect LLMs with external APIs?

Build MCP servers using FastMCP (Python) or MCP SDK (Node/TypeScript) to enable LLMs to interact with external services. Design tools with clear naming, input validation using Pydantic or Zod schemas, robust error handling, and appropriate response formatting to support agent workflows.

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

Design tools by prioritizing agent needs: use descriptive names, include annotated metadata (title, inputSchema, annotations), implement strict input validation with Pydantic or Zod, provide actionable error messages, handle pagination where needed, and optimize response formats for limited context windows.

Can I build MCP servers in both Python and TypeScript?

Yes. MCP servers work across Python (using FastMCP and Pydantic) and Node/TypeScript (using MCP SDK and Zod). Both stacks support the same core patterns: tool design, validation, error handling, and transport protocols like stdio, SSE, and HTTP.

How do I validate tool inputs and handle errors in an MCP server?

Use Pydantic for Python validation schemas or Zod for TypeScript to enforce input constraints. Implement structured error handling with clear, actionable messages that help agents understand failures and retry appropriately.

What transport protocols does MCP support for server communication?

MCP supports stdio, SSE (Server-Sent Events), and HTTP transports. Choose based on your deployment model: stdio for local integration, SSE or HTTP for remote or scalable architectures.

How do I test whether my MCP server works effectively?

Create realistic, complex evaluation questions that test server functionality end-to-end. Include read-only test cases and edge scenarios to verify tool behavior, error handling, and response quality under actual agent usage patterns.