How does this help with tool discoverability?

It provides naming conventions, action-oriented descriptions, and schema patterns that ensure Claude can easily identify and use the correct tool for a specific task.

Does this skill support Python development?

Yes, it provides specific implementation patterns and best practices for building MCP servers using Python and the FastMCP framework.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables LLMs to securely interact with local or remote data sources and services through a standardized interface.

How do I verify if my MCP server works correctly?

The skill includes an evaluation guide that helps you create complex, realistic QA pairs to test whether an LLM can effectively use your tools to solve problems.

Can I use this for remote server deployments?

Yes, the guide covers transport mechanisms including stdio for local servers and streamable HTTP (stateless JSON) for remote, scalable deployments.

MCP Server Builder

Name: MCP Server Builder
Author: lngyneric

bylngyneric

0•

API Development

Guides the development of high-quality Model Context Protocol (MCP) servers to connect LLMs with external APIs and services.

This skill provides a comprehensive framework for architecting and implementing MCP servers using TypeScript or Python. It streamlines the entire development lifecycle—from initial API research and tool design to robust error handling and automated evaluation—ensuring that external services are seamlessly and effectively integrated into LLM workflows. It emphasizes best practices in tool discoverability, context management, and actionable error messaging to maximize the utility of AI-driven integrations.

Key Features

01Best practices for context management and pagination in LLM-facing APIs

02Comprehensive implementation guides for TypeScript (SDK) and Python (FastMCP)

03Standardized patterns for tool naming, discoverability, and schema validation

040 GitHub stars

05Actionable error handling strategies to guide AI agents toward solutions

06Integrated evaluation framework for testing server effectiveness with complex queries

Use Cases

01Building custom MCP servers to bridge private enterprise APIs with Claude

02Creating automated evaluation suites to ensure MCP server reliability and accuracy

03Optimizing existing MCP tools for better discoverability and agent performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lngyneric/my-notebook-github mcp-builder

For use in Claude.ai and ChatGPT

Download Skill