What is agent-centric design in this context?

It refers to building tools that reflect how humans think about tasks rather than just mirroring technical API endpoints, making it easier for AI to solve real-world problems.

Does this skill support both Python and TypeScript?

Yes, it provides specific implementation guides and best practices for both the Python FastMCP framework and the Node/TypeScript MCP SDK.

Does it help with testing and quality assurance?

Yes, it includes a dedicated phase for Evaluation-Driven Development, guiding you to create 10+ complex QA pairs to verify your server's reliability.

What is an MCP server?

An MCP (Model Context Protocol) server is a standardized bridge that allows Large Language Models to securely interact with external tools, databases, and APIs.

How does this skill optimize for AI context windows?

It provides design principles focused on returning high-signal information and concise data formats to prevent token waste during tool execution.

MCP Server Builder

Name: MCP Server Builder
Author: pur3v4d3r

bypur3v4d3r

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API Development

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

About

This skill provides a standardized framework for developing Model Context Protocol (MCP) servers in Python or TypeScript, ensuring AI agents can effectively interact with external services. It moves beyond simple API wrapping by emphasizing agent-centric design principles, such as workflow-focused tool creation, context window optimization, and actionable error messaging. From deep research and implementation patterns to rigorous evaluation-driven development, this skill ensures your MCP servers are production-grade and highly usable for LLMs.

Key Features

Standardized input validation templates using Pydantic and Zod
Agent-centric design patterns to optimize for limited context windows
Evaluation-driven development framework for verifying tool effectiveness
Comprehensive workflows for Python (FastMCP) and Node/TypeScript SDKs
Automated documentation fetching for the latest MCP protocol specifications
1 GitHub stars

Use Cases

Developing standardized toolsets for AI agents to perform complex multi-step workflows
Refining existing API wrappers into high-signal, LLM-friendly communication layers
Building custom integrations to connect proprietary business APIs to Claude

About

Key Features

Standardized input validation templates using Pydantic and Zod
Agent-centric design patterns to optimize for limited context windows
Evaluation-driven development framework for verifying tool effectiveness
Comprehensive workflows for Python (FastMCP) and Node/TypeScript SDKs
Automated documentation fetching for the latest MCP protocol specifications
1 GitHub stars

Use Cases

Developing standardized toolsets for AI agents to perform complex multi-step workflows
Refining existing API wrappers into high-signal, LLM-friendly communication layers
Building custom integrations to connect proprietary business APIs to Claude