Which programming languages does this skill support?

This skill provides detailed implementation patterns for both TypeScript (using the official MCP SDK) and Python (leveraging the FastMCP framework).

Should I choose stdio or HTTP transport?

The guide recommends stdio for local servers and streamable HTTP for remote, scalable servers using stateless JSON to simplify maintenance and scaling.

What is an MCP server?

A Model Context Protocol (MCP) server acts as a bridge that enables LLMs like Claude to securely interact with external data sources, local files, and third-party APIs through standardized tool definitions.

How can I test the effectiveness of my MCP server?

The skill includes a dedicated Evaluation phase where you create complex, read-only questions and verifiable answers in XML format to ensure the LLM can successfully navigate your server's tools.

How do I ensure my MCP tools are discoverable?

The guide recommends using clear, action-oriented naming conventions with consistent prefixes (e.g., 'service_action_name') and providing concise descriptions that help the agent identify the right tool for a specific task.

MCP Server Builder

Name: MCP Server Builder
Author: thanhtoan105

bythanhtoan105

•

Desarrollo de API

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

Acerca de

The MCP Server Builder skill provides a comprehensive, step-by-step framework for architecting and implementing robust Model Context Protocol servers. It offers domain-specific guidance for both Python (FastMCP) and TypeScript environments, focusing on creating discoverable tools, managing context efficiently, and implementing actionable error handling. By following the integrated research, implementation, and evaluation phases, developers can ensure their MCP servers provide the structured data and reliability required for complex, real-world LLM workflows.

Características Principales

Multi-language support for Python (FastMCP) and TypeScript (Node SDK)
Comprehensive guidance on context management and data pagination
1 GitHub stars
Integrated evaluation framework for testing tool effectiveness with realistic scenarios
Standardized tool naming and discovery patterns for better LLM performance
Best practices for secure transport mechanisms including stdio and streamable HTTP

Casos de Uso

Creating standardized toolsets for third-party SaaS integrations
Building custom connectors to integrate proprietary internal APIs with Claude
Developing high-performance data retrieval tools for AI-driven analytics

Acerca de

Características Principales

Multi-language support for Python (FastMCP) and TypeScript (Node SDK)
Comprehensive guidance on context management and data pagination
1 GitHub stars
Integrated evaluation framework for testing tool effectiveness with realistic scenarios
Standardized tool naming and discovery patterns for better LLM performance
Best practices for secure transport mechanisms including stdio and streamable HTTP

Casos de Uso

Creating standardized toolsets for third-party SaaS integrations
Building custom connectors to integrate proprietary internal APIs with Claude
Developing high-performance data retrieval tools for AI-driven analytics