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mcp-builder

Design and implement MCP servers with Tools, Resources, and Prompts in TypeScript and Python.

30|2|Updated Mar 3, 2022
Search Tags:#typescript#python#mcp#server#tool-design#software-architecture#model-context-protocol
One-click install
npx skills add https://github.com/lie5860/ak-guess --skill mcp-builder-lie5860
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/lie5860/ak-guess/tree/main/.agents/skills/mcp-builder
Command: npx skills add https://github.com/lie5860/ak-guess --skill mcp-builder-lie5860

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured approach to design, implement, test, and deploy a production-grade MCP server, reducing boilerplate and guiding correct practice for AI agents to interact with external capabilities.

Core Features & Use Cases

  • Structured primitives: Tools, Resources, and Prompts with clear semantics and safety boundaries.
  • Cross-language support: TypeScript and Python implementations with a shared project layout.
  • Quality gates: Validation schemas, deterministic tool invocation, robust error handling, and testing strategies.

Quick Start

Initialize a minimal MCP server project under my-mcp-server, implement a basic tool and resource, and run unit tests to verify end-to-end behavior.

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-grade MCP server with robust validation and error handling?▼

To build a production-grade MCP server, you design structured Tools, Resources, and Prompts using TypeScript or Python MCP SDKs, enforcing schema-driven definitions, deterministic invocation, timeouts, and logging for safe AI agent interactions.

What is the model context protocol and when do I need structured primitives like Tools and Resources?▼

The model context protocol requires structured primitives like Tools and Resources to empower AI agents to perform deterministic actions and retrieve data safely, establishing clear semantic boundaries for external interactions.

Can I implement MCP servers using both TypeScript and Python implementations?▼

Yes, you can implement MCP servers using both TypeScript and Python implementations, utilizing a shared project layout and validation libraries to maintain consistent architecture and robust interaction patterns across both languages.

What's the best way to structure an MCP server project for AI task automation?▼

The best way to structure an MCP server project involves organizing clear semantics for Tools, Resources, and Prompts, applying validation schemas and secure resource management to ensure deterministic task automation outcomes.

How do I test MCP server tools to verify end-to-end behavior?▼

You test MCP server tools by initializing a minimal project, implementing basic tools and resources, and running unit tests to verify end-to-end behavior, ensuring deterministic tool invocation and robust error handling.

Why does my MCP server need schema-driven tool definitions and timeouts?▼

Schema-driven tool definitions and timeouts are required for MCP servers to establish quality gates, enforce robust validation, and ensure secure resource management during AI agent interactions, preventing unsafe actions.

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