Can I build TypeScript MCP servers with this skill?

Absolutely; it includes a dedicated implementation guide for Node/TypeScript development using the MCP TypeScript SDK and Zod for schema validation.

What is evaluation-driven development for MCP?

It is a testing methodology included in the skill that involves creating complex, realistic scenarios to verify if the LLM can successfully navigate your server's tools to solve tasks.

How does it help with context window management?

It provides strategies for returning high-signal information and concise data formats to ensure tools make the most efficient use of an agent's limited context budget.

Does this skill support Python development?

Yes, it provides specific guidance, best practices, and implementation patterns for Python using FastMCP and the official MCP Python SDK.

What is the Model Context Protocol (MCP)?

MCP is an open standard that allows LLMs like Claude to securely and efficiently interact with external data sources, services, and local tools through a standardized interface.

MCP Server Builder

Name: MCP Server Builder
Author: MonIKaMR25

byMonIKaMR25

Desarrollo de API

Guides the creation of high-quality Model Context Protocol (MCP) servers for seamless LLM integration with external services.

Acerca de

This skill provides a comprehensive framework for developing MCP servers, focusing on agent-centric design principles, workflow optimization, and robust implementation patterns in both Python and TypeScript. It bridges the gap between raw APIs and AI-ready tools by emphasizing evaluation-driven development, concise context management, and actionable error handling to ensure LLMs can effectively perform real-world tasks using the Model Context Protocol.

Características Principales

Agent-centric design principles for optimized context window usage
Comprehensive error handling strategies for AI-friendly debugging
Integrated evaluation framework for testing tool effectiveness
Support for both Python FastMCP and Node/TypeScript MCP SDKs
Standardized MCP implementation workflows for Python and TypeScript
0 GitHub stars

Casos de Uso

Building custom MCP servers to connect internal business APIs to Claude
Creating robust, production-grade tools for specialized domain tasks
Optimizing existing API wrappers for better performance with AI agents

Acerca de

Características Principales

Agent-centric design principles for optimized context window usage
Comprehensive error handling strategies for AI-friendly debugging
Integrated evaluation framework for testing tool effectiveness
Support for both Python FastMCP and Node/TypeScript MCP SDKs
Standardized MCP implementation workflows for Python and TypeScript
0 GitHub stars

Casos de Uso

Building custom MCP servers to connect internal business APIs to Claude
Creating robust, production-grade tools for specialized domain tasks
Optimizing existing API wrappers for better performance with AI agents