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mcp-builder

Guide creation of production-ready MCP servers in TypeScript and Python.

1|Updated May 5, 2026
Search Tags:#typescript#python#evaluation#mcp#server#tools
One-click install
npx skills add https://github.com/thechrickenrun-cyber/wedding --skill mcp-builder-thechrickenrun-cyber
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/thechrickenrun-cyber/wedding/tree/main/.agents/skills/mcp-builder
Command: npx skills add https://github.com/thechrickenrun-cyber/wedding --skill mcp-builder-thechrickenrun-cyber

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you design and implement high-quality Model Context Protocol servers that let AI systems interact with external services through reliable, well-scoped tools.

Core Features & Use Cases

  • End-to-end MCP planning: Covers research, API analysis, tool selection, and workflow design before implementation begins.
  • Python and TypeScript guidance: Supports both FastMCP and the TypeScript SDK with practical patterns for server setup, validation, and transport selection.
  • Production readiness: Includes pagination, error handling, structured outputs, composable helpers, and testing plus evaluation guidance for robust server delivery.
  • Use case: Build a service integration server that exposes read-only search tools, paginated listings, and safe task operations with clear schemas and good agent usability.

Quick Start

Ask the assistant to help you design a production-ready MCP server for your target service and follow the guide to plan tools, choose a transport, and validate the implementation.

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 for integrating an external API?▼

Building a production-ready MCP server requires planning API integration, designing well-scoped tools, and selecting the correct transport. The workflow covers pagination, structured error handling, and composable architecture to ensure reliable AI system interactions with external services.

What is the best way to design tools for an MCP server in Python or TypeScript?▼

Designing MCP server tools effectively requires creating well-scoped schemas for safe operations, including read-only search tools and paginated listings. You should apply composable helper patterns and structured outputs to maximize agent usability in both FastMCP and TypeScript SDK environments.

Does this MCP server guide support both Python and TypeScript implementations?▼

Yes, this MCP server guide supports both Python and TypeScript implementations. It provides practical patterns for server setup, validation, and transport selection using both the FastMCP framework and the TypeScript SDK to ensure production readiness.

How do I add pagination and error handling to an MCP server?▼

Adding pagination and error handling to an MCP server involves implementing composable helpers and structured outputs within your tool design. This approach manages large data listings and safely catches external service failures, ensuring robust server delivery.

How do I test and evaluate an MCP server before deployment?▼

To test and evaluate an MCP server, you should follow the provided testing and evaluation workflows to validate your tool schemas. This includes running read-only testing guidance to verify safe task operations and structured outputs before deployment.

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