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CommandCodeAI
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mcp-builder

Build MCP servers with FastMCP and MCP SDK templates.

103|30|Updated Dec 24, 2025
Search Tags:#typescript#python#sdk#mcp#server#best-practices#tool-development
One-click install
npx skills add https://github.com/CommandCodeAI/agent-skills --skill mcp-builder-commandcodeai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/CommandCodeAI/agent-skills/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/CommandCodeAI/agent-skills --skill mcp-builder-commandcodeai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured blueprint and practical tooling for building high-quality MCP (Model Context Protocol) servers. It covers both Python (FastMCP) and Node/TypeScript (MCP SDK) implementations, offering best-practice patterns for tool design, input validation, error handling, pagination, and testing to streamline secure, scalable AI integrations.

Core Features & Use Cases

  • Comprehensive guidance for Python (FastMCP) and Node/TypeScript (MCP SDK) MCP server implementations.
  • Tool design patterns with strict input validation (Pydantic or Zod) and detailed docstrings.
  • Error handling, pagination, and multi-format responses (JSON/Markdown) guidance.
  • Practical examples, references, and scaffolding to accelerate real-world MCP projects.

Quick Start

Use the included templates and examples to bootstrap a working MCP server skeleton, then register a sample tool and start testing in a local or remote transport.

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 with Python or TypeScript?▼

To build an MCP server, use structured templates for Python (FastMCP) or Node/TypeScript (MCP SDK) that include best-practice patterns for tool design, strict input validation, and error handling.

What is the best way to handle input validation in MCP server development?▼

The best way to handle input validation in MCP server development is using Pydantic for Python implementations and Zod for Node/TypeScript, ensuring strict schema enforcement and secure AI integrations.

Does this MCP server scaffolding support both Python and Node?▼

Yes, the MCP server scaffolding explicitly supports both Python implementations using FastMCP and Node/TypeScript implementations using the standard MCP SDK.

How do I implement pagination and error handling in an MCP server?▼

You implement pagination and error handling in an MCP server by applying the provided best-practice blueprints, which detail multi-format responses, structured error management, and scalable tool design.

Can I bootstrap a working MCP server skeleton for local testing?▼

Yes, you can bootstrap a working MCP server skeleton using the included templates, register a sample tool, and immediately start testing in a local or remote transport environment.

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