What are MCP evaluations?

Evaluations are structured test sets that use complex, realistic questions to verify that an LLM can successfully navigate multiple tool calls to provide stable and accurate answers.

How does this skill improve tool discoverability?

It enforces standardized naming conventions (e.g., action-oriented prefixes) and descriptive metadata patterns that help LLMs accurately identify and use the correct tools.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables Large Language Models to safely and reliably interact with external data sources, APIs, and tools through a standardized interface.

Does this skill support both Python and TypeScript?

Yes, the mcp-builder skill provides specialized implementation guides, project structures, and code patterns for both the Python (FastMCP) and TypeScript SDKs.

MCP Server Builder

Name: MCP Server Builder
Author: boku-miyaji

byboku-miyaji

0•

API Development

Guides the creation of high-quality Model Context Protocol (MCP) servers for integrating external services with LLMs.

The mcp-builder skill provides a comprehensive framework and set of best practices for developing MCP servers, which allow Large Language Models to interact with external APIs and data sources. It streamlines the entire development lifecycle—from initial planning and tool selection to implementation using Python (FastMCP) or TypeScript SDKs—and includes rigorous evaluation protocols to ensure the resulting servers are reliable, performant, and easy for AI agents to discover. This skill is essential for developers looking to extend Claude's capabilities with custom integrations, standardized error handling, and production-grade tool schemas.

Key Features

01Deep protocol alignment with latest MCP specifications and best practices

02Multi-language support for TypeScript SDK and Python FastMCP

03Standardized tool naming and discovery patterns for better agent performance

04Automated project structure and core utility implementation guidance

05Integrated evaluation framework for testing complex tool-calling scenarios

060 GitHub stars

Use Cases

01Developing and testing robust, production-grade MCP servers with standardized error handling

02Creating specialized workflow tools for platforms like GitHub, Slack, or Jira

03Building a custom API bridge to allow Claude to access internal company data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add boku-miyaji/claude_dev mcp-builder

For use in Claude.ai and ChatGPT

Download Skill