Quickstart Resources

Name: Quickstart Resources
Author: tomoro-ai

@tomoro-ai

代码仓库

关于 Quickstart Resources

Extended the anthropic mcp tutorial to support openai and customGPT connection through http-bridge

#customgpt #mcp-server #http-bridge

基本信息

分类

其他

许可证

MIT license

运行时

node

传输方式

stdio

发布者

tomoro-ai

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "customGPT-to-mcp-server-example": {
      "command": "node",
      "args": [
        "build/index.js"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Quickstart Resources?

A repository of servers and clients from the Model Context Protocol tutorials, including a simple MCP weather server and an LLM-powered chatbot MCP client. It is intended for developers learning MCP or building custom GPT integrations.

How to use Quickstart Resources?

Build the weather server (npm run build in weather-server-typescript), then start the HTTP bridge (npm run build-bridge in mcp-client-typescript) to connect custom GPTs via OpenAI Actions. Expose the bridge using ngrok and import the OpenAPI schema into GPT Builder.

Key features of Quickstart Resources

Simple MCP weather server with forecast and alert endpoints
LLM-powered chatbot MCP client (Claude or OpenAI)
HTTP API bridge for custom GPT integration via Actions
Support for remote MCP servers over SSH or TCP
Step-by-step guide to connect with GPT Builder

Use cases of Quickstart Resources

Building a custom GPT that queries real-time weather forecasts and alerts
Demonstrating client-server communication in the Model Context Protocol
Integrating MCP servers with OpenAI’s GPT Builder for web-based tools
Testing MCP connectivity across local and remote environments

FAQ from Quickstart Resources

What integration methods are available?

Three methods: Claude CLI (index.ts), OpenAI CLI (index-openai.ts), and HTTP bridge (http-bridge.ts). Only the HTTP bridge works with custom GPTs.

How do I connect a custom GPT to my MCP server?

Start the weather server and HTTP bridge, expose the bridge with ngrok, import the OpenAPI schema into GPT Builder’s Actions tab, and set authentication to None.