mcp-builder

Build production-ready MCP servers in Python and TypeScript.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/ContractorKeith/openclaw-home --skill mcp-builder-contractorkeith
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/ContractorKeith/openclaw-home/tree/main/workspace-sean/skills/mcp-builder
Command: npx skills add https://github.com/ContractorKeith/openclaw-home --skill mcp-builder-contractorkeith

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill provides a structured blueprint for building production-ready MCP servers that let LLMs safely interact with external services through well-defined tools and transports.

Core Features & Use Cases

  • End-to-end MCP server scaffolding in Python and TypeScript with best practices
  • Tool registration patterns, input validation, and error handling guidance
  • Phase-guided workflow from discovery to evaluation, plus reference implementations and templates

Quick Start

Create an MCP server skeleton for a target API and register a sample tool to verify end-to-end operation

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I build a production-ready MCP server in Python or TypeScript?

You can build a production-ready MCP server by following a structured blueprint that covers tool registration, input validation, error handling, and recommended SDK usage. This provides end-to-end scaffolding for both Python and TypeScript.

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

The best way to design MCP server tools involves following MCP best practices for naming conventions, pagination, structured outputs, and robust input validation. This ensures LLMs can safely interact with external services.

Does the MCP SDK support both TypeScript and Python for server implementation?

Yes, the MCP SDK supports both TypeScript and Python. This skill provides phase-guided workflows, reference implementations, and templates for building servers in both languages.

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

To test and evaluate an MCP server, you follow a phase-guided workflow that moves from discovery to evaluation. This includes verifying end-to-end operation by registering sample tools and validating structured outputs.

What security considerations should I follow when exposing external services to LLMs via MCP?

When exposing external services via MCP, you must implement well-defined tools, proper input validation, and strict error handling. This ensures LLMs interact safely with external APIs through controlled transports.

Why do I need structured outputs and pagination in MCP server tools?

Structured outputs and pagination are MCP best practices necessary for delivering robust, reusable components. They ensure that large data sets from external services are handled efficiently and predictably by LLMs.