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Chatgpt MCP Server

@automateyournetwork

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

automateyournetwork

Submitted by

John Capobianco

About Chatgpt MCP Server

No overview available yet

#chatgpt#mcp-server#ai-assistant

Chatgpt MCP Server config

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

{
  "mcpServers": {
    "chatgpt": {
      "command": "python3",
      "args": [
        "server.py",
        "--oneshot"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

Chatgpt MCP Server 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 Chatgpt?

This MCP (Model Context Protocol) stdio server forwards prompts to OpenAI’s ChatGPT (GPT-4o) for advanced summarization, analysis, and reasoning. It is designed to run inside LangGraph-based assistants.

How to use Chatgpt?

Build and run the Docker container with your OPENAI_API_KEY, or run the Python script directly using the --oneshot flag. Configure the server via an mcpServers JSON block, setting the command to python3 server.py --oneshot and providing the API key as an environment variable. The only exposed tool is ask_chatgpt, which takes a content string.

Key features of Chatgpt

  • Exposes a single tool: ask_chatgpt
  • Sends text to GPT-4o for external reasoning
  • Supports one-shot stdin/stdout mode
  • Deployable via Docker or Python directly
  • API key injected securely through environment variables

Use cases of Chatgpt

  • Summarize long documents
  • Analyze configuration files
  • Compare multiple options
  • Perform advanced natural language reasoning

Frequently asked questions

1

What tool does this server expose?

It exposes the `ask_chatgpt` tool, which forwards the provided `content` to GPT-4o for analysis or summarization.

2

How do I provide my OpenAI API key?

Set the `OPENAI_API_KEY` environment variable, either in a `.env` file (auto‑loaded by python‑dotenv) or by exporting it directly.

3

Can I test the server locally?

Yes, use the `--oneshot` flag and send a JSON‑formatted request via `echo`, as shown in the README manual test example.

4

How do I integrate Chatgpt with LangGraph?

Configure the server with command `python3`, args `["server.py", "--oneshot"]`, and the `OPENAI_API_KEY` in the environment block of your LangGraph pipeline.

5

What dependencies does it require?

The server depends on `openai`, `requests`, and `python-dotenv`; these are installed during the Docker build.

Comments

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