Does this skill use the official Go SDK?

Yes, it generates code specifically using the official github.com/modelcontextprotocol/go-sdk to ensure full compatibility.

Can I customize the tools generated by this skill?

Absolutely. The skill provides standard templates and a registry system that makes it easy to add, remove, or modify tool functionality.

What transport method does the generated server use?

The server defaults to StdioTransport, which is the standard for most local MCP integrations, but the architecture allows for easy extension.

Is the generated server ready for production?

Yes, it includes professional features like graceful shutdown handling, environment variable configuration, and structured logging.

What is the Model Context Protocol (MCP)?

MCP is an open standard that allows AI models to securely interact with local or remote tools and data sources, extending their capabilities.

Go MCP Server Generator

Name: Go MCP Server Generator
Author: rodolfolermacontreras

byrodolfolermacontreras

•

API 开发

Generates production-ready Model Context Protocol (MCP) servers in Go with standardized project layouts and official SDK integration.

This skill accelerates the development of custom AI tools by scaffolding a complete, standardized Go MCP server project. It implements the official Go SDK, provides a clean directory structure with a centralized tool registry, and includes essential boilerplate for configuration, error handling, and testing. It is specifically designed for developers who need to bridge Go-based services, databases, or local logic with AI models like Claude through the Model Context Protocol.

主要功能

01Automated project scaffolding with clean Go module structure

02Built-in support for graceful shutdowns, logging, and environment-based configuration

03Official MCP SDK integration for standard-compliant server implementations

041 GitHub stars

05Type-safe tool definition using JSON schema tags for seamless AI parameter mapping

06Ready-to-use testing templates for validating tool logic and handlers

使用场景

01Prototyping AI-driven automation tools with a robust, compiled backend

02Creating custom data connectors using the Model Context Protocol for Claude

03Rapidly building a bridge between internal Go microservices and AI assistants

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rodolfolermacontreras/microsoft-ai-learning go-mcp-server-generator

For use in Claude.ai and ChatGPT

主要功能

01Automated project scaffolding with clean Go module structure

02Built-in support for graceful shutdowns, logging, and environment-based configuration

03Official MCP SDK integration for standard-compliant server implementations

041 GitHub stars

05Type-safe tool definition using JSON schema tags for seamless AI parameter mapping

06Ready-to-use testing templates for validating tool logic and handlers

使用场景

01Prototyping AI-driven automation tools with a robust, compiled backend

02Creating custom data connectors using the Model Context Protocol for Claude

03Rapidly building a bridge between internal Go microservices and AI assistants

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rodolfolermacontreras/microsoft-ai-learning go-mcp-server-generator

For use in Claude.ai and ChatGPT