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Custom MCP (MCP) with ChatGPT AI Template

@Wriath18

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Wriath18

关于 Custom MCP (MCP) with ChatGPT AI Template

A Model Context Protocol (MCP Server) created from scratch

Custom MCP (MCP) with ChatGPT AI Template 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "CustomMCP": {
      "command": "python",
      "args": [
        "run.py"
      ]
    }
  }
}

Custom MCP (MCP) with ChatGPT AI Template 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 Custom MCP (Model Context Protocol) with ChatGPT AI Template?

Custom MCP (Model Context Protocol) with ChatGPT AI Template is an intelligent agentic system that integrates with Gmail and GitHub, using OpenAI models to autonomously decide which tools to use and how to process information. It is built for developers and users who need automated cross-service workflows.

How to use Custom MCP (Model Context Protocol) with ChatGPT AI Template?

After setting up the MCP server (FastAPI on port 8000) and the ChatGPT AI Template frontend (Next.js on port 3000), open the browser at http://localhost:3000, click "MCP Chat" in the sidebar, and enter a query. A provided start.sh script launches both servers together.

Key features of Custom MCP (Model Context Protocol) with ChatGPT AI Template

  • Gmail integration: reads and analyzes emails from your Gmail account.
  • GitHub integration: interacts with repositories to check issues and alerts.
  • Intelligent decision making via OpenAI models.
  • Autonomous operation between Gmail, GitHub, and OpenAI.
  • Modern UI built with Next.js and Chakra UI.

Use cases of Custom MCP (Model Context Protocol) with ChatGPT AI Template

  • Check if GitHub warnings exist in your Gmail inbox.
  • Find dependency alerts for your repositories.
  • Summarize recent GitHub notifications.
  • Execute complex requests involving multiple services without manual steps.

常见问题

1

What external APIs does it require?

Gmail API (OAuth2), GitHub API (Personal Access Token), and OpenAI API.

2

How is the system started?

Run `./start.sh` to launch both the MCP server and the ChatGPT AI Template frontend. Alternatively start each manually using the setup instructions.

3

Where are credentials stored?

In a `.env` file (not in the repository). A `.env.example` shows required variables.

4

What are the runtime requirements?

Python for the backend (FastAPI) and Node.js for the frontend (Next.js/React). Dependencies are listed in `requirements.txt` and `package.json`.

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