ChatGPT-MCP Server
by automateyournetwork
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.
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What is ChatGPT-MCP Server?
The ChatGPT-MCP server is a Model Context Protocol (MCP) server that acts as an intermediary between a LangGraph-based assistant and OpenAI's ChatGPT (GPT-4o). It allows the assistant to leverage the advanced capabilities of ChatGPT for tasks like summarization, analysis, and reasoning.
How to use ChatGPT-MCP Server?
The server can be deployed using Docker or run manually. It exposes a single tool, 'ask_chatgpt', which accepts text as input ('content') and sends it to ChatGPT for processing. It can be integrated into a LangGraph pipeline by configuring the server command and arguments.
Key features of ChatGPT-MCP Server
Exposes ChatGPT as a tool for LangGraph agents
Supports advanced summarization and analysis
Enables natural language reasoning
Uses a simple stdio interface
Dockerized for easy deployment
Use cases of ChatGPT-MCP Server
Summarizing long documents
Analyzing configuration files
Comparing options
Performing advanced natural language reasoning
FAQ from ChatGPT-MCP Server
What is the purpose of this server?
What is the purpose of this server?
It allows LangGraph agents to access the advanced capabilities of ChatGPT for tasks like summarization and reasoning.
How do I deploy this server?
How do I deploy this server?
You can deploy it using Docker or run it manually using Python.
What is the 'ask_chatgpt' tool?
What is the 'ask_chatgpt' tool?
It's the tool exposed by the server that sends text to ChatGPT for processing.
What dependencies are required?
What dependencies are required?
The server requires the openai, requests, and python-dotenv libraries, which are installed during the Docker build.
How do I configure the OpenAI API key?
How do I configure the OpenAI API key?
You can set the OPENAI_API_KEY environment variable in a .env file or export it manually.