What transport methods are covered?

It covers both stdio for local server configurations and streamable HTTP for remote, scalable server deployments.

Does it support both Python and Node.js?

Yes, it includes specific implementation patterns for the TypeScript SDK and the Python FastMCP framework.

How does it help with testing?

The skill guides you through using the MCP Inspector for manual verification and provides a detailed process for creating automated evaluation questions to ensure tool reliability.

Why is tool naming and schema design important in MCP?

Clear names and strict schemas (using Zod or Pydantic) help the LLM correctly identify and use the right tool for a specific task, reducing errors and improving performance.

MCP Server Builder

Name: MCP Server Builder
Author: kingstinct

bykingstinct

0•

API Development

Architects and implements high-quality Model Context Protocol (MCP) servers to connect LLMs with external APIs and services.

The mcp-builder skill provides a comprehensive, four-phase framework for developing robust Model Context Protocol (MCP) servers in both TypeScript and Python. It guides developers through the entire lifecycle of server creation, from deep research and API planning to implementation using Zod or Pydantic schemas, and final testing via the MCP Inspector. By emphasizing standardized tool naming, actionable error messages, and stable evaluation metrics, this skill ensures that your AI agents can interact reliably and efficiently with any external software ecosystem.

Key Features

01Dual-language support for TypeScript SDK and Python FastMCP implementations

020 GitHub stars

03Comprehensive guidance on transport mechanisms including stdio and streamable HTTP

04Standardized tool design patterns for optimal LLM discoverability and context management

05Integrated evaluation framework for generating verifiable QA pairs to test tool accuracy

06Best practice implementation for pagination, error handling, and metadata annotations

Use Cases

01Developing and stress-testing complex agentic interactions using standardized evaluation protocols

02Creating public-facing MCP servers for third-party SaaS platforms to enable AI integration

03Building custom toolsets to bridge internal enterprise APIs with Claude for automated workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kingstinct/.github mcp-builder

For use in Claude.ai and ChatGPT

Download Skill