Does this skill support both Python and TypeScript?

Yes, it provides detailed implementation patterns for both the TypeScript MCP SDK and Python's FastMCP framework.

What transport protocols are covered?

The guide covers both stdio for local development and streamable HTTP for remote, scalable server deployments.

How does this help with testing my MCP server?

It includes a dedicated phase for creating evaluations, helping you build a suite of verifiable questions and answers to ensure your server performs accurately.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables LLMs like Claude to interact with external tools, data sources, and services via standardized servers.

Can I use this to connect my own private APIs to Claude?

Absolutely. This skill is designed to guide you through building custom MCP servers that expose your specific endpoints as tools for AI agents.

MCP Server Builder

Name: MCP Server Builder
Author: kaodean

bykaodean

0•

API Development

Builds high-quality Model Context Protocol (MCP) servers to enable LLMs to interact seamlessly with external services and APIs.

This skill provides a comprehensive framework for designing, implementing, and testing Model Context Protocol (MCP) servers using TypeScript or Python. It guides developers through the entire development lifecycle, from API research and tool schema design to automated testing and the creation of robust evaluation sets. By emphasizing standardized naming, structured outputs, and actionable error handling, it ensures that resulting servers provide reliable, discoverable, and efficient interfaces for AI agents to perform complex, real-world tasks.

Key Features

01Strategic guidance on tool naming, API coverage, and context management

02Standardized evaluation framework for verifying agent tool-calling performance

03Best practices for Zod/Pydantic schemas and structured tool responses

04Comprehensive implementation patterns for TypeScript (SDK) and Python (FastMCP)

05Automated navigation of the Model Context Protocol specification and framework docs

060 GitHub stars

Use Cases

01Building robust evaluation suites to measure the reliability of AI-driven tool interactions

02Connecting private internal APIs to Claude Code for custom enterprise workflows

03Standardizing legacy toolsets into the Model Context Protocol for better AI discoverability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kaodean/monco mcp-builder

For use in Claude.ai and ChatGPT

Download Skill