What is 'Agent-Centric Design'?

It is a design philosophy that prioritizes how an AI agent perceives and uses a tool, emphasizing human-readable identifiers, concise responses, and task-oriented functionality.

What is an MCP server?

An MCP (Model Context Protocol) server is a specialized service that provides tools and data to Large Language Models, allowing them to interact with external APIs, databases, and local files.

How does this skill improve tool quality?

It implements agent-centric design, which focuses on building tools for workflows rather than just wrapping API endpoints, optimizing for token usage and providing actionable error messages.

Can I test my MCP server using this skill?

Yes, it includes a dedicated phase for creating evaluation questions and QA pairs to verify that your server handles complex, real-world tasks effectively.

Does mcp-builder support Python and TypeScript?

Yes, it provides specific implementation guides, best practices, and project structures for both Python (FastMCP) and Node/TypeScript environments.

MCP Server Builder

Name: MCP Server Builder
Author: bkootaz

bybkootaz

API Development

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

About

The mcp-builder skill provides a comprehensive, standardized framework for developing robust MCP servers using Python or TypeScript. It streamlines the entire development lifecycle—from deep research and agent-centric design to implementation and rigorous evaluation. By following this guide, developers can create tools that are optimized for AI context windows, feature actionable error messages, and enable complex workflows, ensuring that Claude and other LLMs can effectively interact with external data and functionality.

Key Features

Comprehensive workflows for Python (FastMCP) and Node/TypeScript SDKs
Structured guidance for input validation using Pydantic and Zod
Framework for creating evaluation harnesses with verifiable QA pairs
0 GitHub stars
Agent-centric design principles to optimize tool usage for AI models
Automated protocol documentation fetching for up-to-date compliance

Use Cases

Standardizing MCP server development across a development team
Building custom integrations to connect internal company APIs to Claude
Developing high-performance toolkits for third-party SaaS services

About

Key Features

Comprehensive workflows for Python (FastMCP) and Node/TypeScript SDKs
Structured guidance for input validation using Pydantic and Zod
Framework for creating evaluation harnesses with verifiable QA pairs
0 GitHub stars
Agent-centric design principles to optimize tool usage for AI models
Automated protocol documentation fetching for up-to-date compliance

Use Cases

Standardizing MCP server development across a development team
Building custom integrations to connect internal company APIs to Claude
Developing high-performance toolkits for third-party SaaS services