ChatGPT MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| HASDATA_API_KEY | Yes | Your HasData API key, obtained from the dashboard (https://app.hasdata.com/sign-up). It is passed to the remote server as the `x-api-key` header. |
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
} |
| completions | {} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| hasdata_chatgpt_chat_getChatgptAnswerA | Get ChatGPT Answer Sends a prompt to ChatGPT anonymously and returns the answer as markdown text, plus every web source ChatGPT consulted with its domain, page title, snippet, publication date and thumbnail, the links rendered inside the answer, the conversation title ChatGPT generated, the model that answered, and whether a web search was used. The language of the answer follows the prompt — write the prompt in the language you want back, or ask for one in it. Set the frame of reference for words like "today" with timezone. Each request is a fresh conversation with no memory of earlier ones. Use to answer questions with cited sources, to ground an agent or RAG pipeline in ChatGPT's web-search results, to summarise current events with their sources, or to build datasets of model answers. |
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 1 tool
There is only one tool, so there is no possibility of confusing it with another. Its purpose (send a prompt to ChatGPT and return the answer plus sources) is unambiguous.
With a single tool there is no mixed convention to penalize. However, the name is an unwieldy prefixed, camelCase string (hasdata_chatgpt_chat_getChatgptAnswer) rather than a clean verb_noun pattern.
The narrow, single-endpoint domain means one tool covers the core capability without redundancy. Still, a one-tool surface is thin and leaves no room for related operations like continuing a conversation or fetching sources separately.
The tool covers a one-shot query with rich metadata, which fits the described use. But it explicitly has no memory, and there is no way to continue or manage a conversation, so multi-turn workflows are a notable gap.