Chatgpt

Name: Chatgpt
Author: automateyournetwork

@automateyournetwork

Repository

About Chatgpt

No overview available yet

#chatgpt #mcp-server #ai-assistant

Basic information

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>"
      }
    }
  }
}

Tools

No tools detected

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

FAQ from Chatgpt

What tool does this server expose?

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

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.

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.

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.

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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