Advertise
MCP.so
Sign In

Custom MCP (MCP) with ChatGPT AI Template

@Wriath18

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

Wriath18

About Custom MCP (MCP) with ChatGPT AI Template

A Model Context Protocol (MCP Server) created from scratch

Custom MCP (MCP) with ChatGPT AI Template config

Add this server to your MCP-compatible client using the configuration below.

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

Custom MCP (MCP) with ChatGPT AI Template tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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`.

Comments

More AI & Agents MCP servers

AON — Agent Offer Network

AON

AON MCP connects AI agents to real, buyable products and services with live pricing and tracked links—enabling builders to earn developer revenue share from attributed clicks and conversions.

2
F

fhirHydrant

faulkj

Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.

14

BlazingCDN MCP - Content Delivery for Video, Software & Static Files

BlazingCDN

Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN

1

Gemina

Gemina Tech Ltd.

Extract, search and tag any document — invoices, receipts, contracts, forms, or your own templates. 13 tools, one sign-in (OAuth 2.1) or API key, free FileTag tier, data residency in the EU, US, Israel or Asia.

GoBuy - Product Trust

gobuy-ai

GoBuy gives AI agents marketplace-evidence trust scores. One call returns a 0–100 Evidence Score with observed/missing signals, freshness, and product context. Tools: • check_product_trust — inspect one Amazon, Walmart,

Advertise