How do I verify that my MCP server is working correctly?

The skill includes a detailed process for using the MCP Inspector and creating a 10-question evaluation suite to test your server's effectiveness in real-world scenarios.

Can I use this for remote server deployments?

Yes, the builder covers different transport mechanisms, including stdio for local use and streamable HTTP for scalable remote server deployments.

What is an MCP server?

An MCP (Model Context Protocol) server is a specialized application that allows LLMs like Claude to securely interact with external data, tools, and APIs through a standardized protocol.

Does this skill support both Python and TypeScript?

Yes, it provides dedicated implementation guides for both the TypeScript SDK and the Python FastMCP framework, including project setup and code examples.

MCP Server Builder

Name: MCP Server Builder
Author: nguyendinhquocx

bynguyendinhquocx

0•

API 开发

Architects high-quality Model Context Protocol (MCP) servers to seamlessly integrate external APIs and services with AI agents.

The MCP Builder skill provides a comprehensive framework for developing robust Model Context Protocol (MCP) servers in both TypeScript and Python. It guides developers through the entire lifecycle of server creation—from initial API research and workflow planning to implementation using modern SDKs and rigorous evaluation. By focusing on well-defined tool schemas, actionable error handling, and standardized transport mechanisms like stdio and streamable HTTP, this skill ensures your external services are perfectly optimized for discovery and interaction by LLMs.

主要功能

01Structured evaluation framework to test LLM tool-calling effectiveness and accuracy

02Standardized architecture for TypeScript (Node.js) and Python (FastMCP) environments

030 GitHub stars

04Support for both local stdio transport and remote streamable HTTP implementations

05Comprehensive best practices for pagination, context management, and actionable error reporting

06Expert guidance on tool naming, discoverability, and schema design using Zod or Pydantic

使用场景

01Exposing internal business databases or legacy APIs to Claude through secure, custom tools

02Developing public-facing MCP servers for SaaS platforms to enable AI-driven workflows

03Creating specialized workflow tools that combine multiple API endpoints into single LLM actions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai mcp-builder

For use in Claude.ai and ChatGPT

主要功能

01Structured evaluation framework to test LLM tool-calling effectiveness and accuracy

02Standardized architecture for TypeScript (Node.js) and Python (FastMCP) environments

030 GitHub stars

04Support for both local stdio transport and remote streamable HTTP implementations

05Comprehensive best practices for pagination, context management, and actionable error reporting

06Expert guidance on tool naming, discoverability, and schema design using Zod or Pydantic

使用场景

01Exposing internal business databases or legacy APIs to Claude through secure, custom tools

02Developing public-facing MCP servers for SaaS platforms to enable AI-driven workflows

03Creating specialized workflow tools that combine multiple API endpoints into single LLM actions