
chatgpt_mcp
MCP服务器聊天完成
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🧠 Ask ChatGPT - MCP Server (Stdio)
This is a Model Context Protocol (MCP) stdio server that forwards prompts to OpenAI’s ChatGPT (GPT-4o). It is designed to run inside LangGraph-based assistants and enables advanced summarization, analysis, and reasoning by accessing an external LLM.
📌 What It Does
This server exposes a single tool:
{
"name": "ask_chatgpt",
"description": "Sends the provided text ('content') to an external ChatGPT (gpt-4o) model for advanced reasoning or summarization.",
"parameters": {
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The text to analyze, summarize, compare, or reason about."
}
},
"required": ["content"]
}
}
Use this when your assistant needs to:
Summarize long documents
Analyze configuration files
Compare options
Perform advanced natural language reasoning
🐳 Docker Usage
Build and run the container:
docker build -t ask-chatgpt-mcp .
docker run -e OPENAI_API_KEY=your-openai-key -i ask-chatgpt-mcp
🧪 Manual Test
Test the server locally using a one-shot request:
echo '{"method":"tools/call","params":{"name":"ask_chatgpt","arguments":{"content":"Summarize this config..."}}}' | \
OPENAI_API_KEY=your-openai-key python3 server.py --oneshot
🧩 LangGraph Integration
To connect this MCP server to your LangGraph pipeline, configure it like this:
("chatgpt-mcp", ["python3", "server.py", "--oneshot"], "tools/discover", "tools/call")
⚙️ MCP Server Config Example
Here’s how to configure the server using an mcpServers JSON config:
{
"mcpServers": {
"chatgpt": {
"command": "python3",
"args": [
"server.py",
"--oneshot"
],
"env": {
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
}
}
}
}
🔍 Explanation
"command": Runs the script with Python
"args": Enables one-shot stdin/stdout mode
"env": Injects your OpenAI key securely
🌍 Environment Setup
Create a .env file (auto-loaded with python-dotenv) or export the key manually:
OPENAI_API_KEY=your-openai-key
Or:
export OPENAI_API_KEY=your-openai-key
📦 Dependencies
Installed during the Docker build:
openai
requests
python-dotenv
📁 Project Structure
.
├── Dockerfile # Docker build for the MCP server
├── server.py # Main stdio server implementation
└── README.md # You're reading it!
🔐 Security Notes
Never commit .env files or API keys.
Store secrets in secure environment variables or secret managers.
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Reviews

user_3nlUxrYa
ChatGPT_MCP by automateyournetwork is an exceptional tool for network automation enthusiasts. The integration with GitHub ensures easy access and collaboration. With its seamless interface and detailed documentation, tasks that once took hours can now be completed in minutes. Highly recommended for anyone looking to streamline their network management processes! Check it out at: https://github.com/automateyournetwork/chatGPT_MCP.