ChatGPT MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ask_chatgpt_toolC | Send a prompt to ChatGPT and return the response. |
| get_chatgpt_response_toolA | Get the latest response from ChatGPT after sending a message. |
| new_chatgpt_chat_toolA | Start a new chat conversation in ChatGPT. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
The 'ask_chatgpt_tool' returns the response immediately, making 'get_chatgpt_response_tool' redundant and causing confusion about when to use each. 'new_chatgpt_chat_tool' is distinct but the overlap between the first two tools leads to ambiguity.
All tools follow a snake_case pattern with a '_tool' suffix, maintaining consistency. However, the noun component varies (no noun in 'ask_chatgpt_tool', 'response' in 'get_chatgpt_response_tool', 'chat' in 'new_chatgpt_chat_tool'), which is a minor deviation.
Three tools is a reasonable number for a basic ChatGPT interaction server. It covers sending a prompt, retrieving the latest response, and starting a new conversation without being overly minimal or excessive.
The set covers sending prompts and managing conversations at a basic level, but lacks tools for listing past conversations, adjusting model parameters, or deleting chats, which are notable gaps for a chatbot interface.