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mcp-builder

Scaffold Python or TypeScript MCP servers with structured tool metadata.

215|37|Updated Oct 18, 2025
Search Tags:#TypeScript#validation#SDK#mcp#Python#tool-registration#server-scaffolding
One-click install
npx skills add https://github.com/enuno/unifi-mcp-server --skill mcp-builder-enuno
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/enuno/unifi-mcp-server/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/enuno/unifi-mcp-server --skill mcp-builder-enuno

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide and patterns for building MCP servers that expose tools so AI agents can securely and efficiently interact with external services through well-designed APIs.

Core Features & Use Cases

  • Tool metadata standardization: Enforces consistent title, description, inputSchema, outputSchema for every tool.
  • Validation by design: Demonstrates how to validate inputs with Pydantic (Python) or Zod (TypeScript) and return structured outputs.
  • Server scaffolding and testing: Provides a reference architecture, project layout, and testing patterns for MCP servers in Python and TypeScript.
  • Use Case: Scaffold a minimal MCP server exposing a single tool to fetch data from an external API and return a structured response.

Quick Start

Use the mcp-builder skill to scaffold a minimal MCP server for Python that exposes one tool.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I scaffold an MCP server for Python or TypeScript?▼

You can scaffold an MCP server for Python or TypeScript by generating a minimal project layout that exposes tools with standardized metadata, enabling LLMs to interact with external services through well-structured APIs.

What is the best way to validate MCP tool inputs with Pydantic or Zod?▼

Validating MCP tool inputs is handled by design using Pydantic for Python or Zod for TypeScript, ensuring structured outputs and consistent schemas across every tool registration within the server.

Does the mcp-builder support both Python and TypeScript SDKs?▼

Yes, the mcp-builder supports both Python and TypeScript SDKs, providing reference architectures, project layouts, and testing patterns to scaffold servers for rapid experimentation in either language.

How do I structure tool metadata for an MCP server?▼

Structuring tool metadata for an MCP server requires enforcing consistent title, description, inputSchema, and outputSchema fields for every tool to ensure AI agents can securely interact with external services.

What do I need to build an MCP server for AI tool integration?▼

To build an MCP server for AI tool integration, you need the mcp dependency and a reference project layout that provides clear tool metadata patterns, input validation, and testing patterns for secure external API interactions.

How does MCP server tool registration work for external services?▼

MCP server tool registration works by exposing tools that allow LLMs to interact with external services through well-designed APIs, using standardized metadata and validation by design to return structured responses.

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