HasData ChatGPT

Send a prompt to ChatGPT anonymously and get the answer with its web sources, as JSON.

Should I use this

Quality & Safety

B
Description quality
100%
Schema completeness
100%
Naming quality
30%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (2)

  • LOWTool 'hasdata_chatgpt_chat_getChatgptAnswer' doesn't follow camelCase/snake_casein hasdata_chatgpt_chat_getChatgptAnswer
  • LOWTool 'hasdata_chatgpt_chat_getChatgptAnswer' name length outside 3-30 rangein hasdata_chatgpt_chat_getChatgptAnswer

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~398Tokens (tool definitions)
~2.3 KBTypical response size
Minimal attention impact (0.31% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "chatgpt": {
      "command": "npx",
      "args": [
        "@hasdata/chatgpt-mcp"
      ]
    }
  }
}

Runnable packages

npm@hasdata/chatgpt-mcp1.0.0stdio
pypihasdata-chatgpt-mcp1.0.0stdio

Remote endpoints

https://mcp.hasdata.com/mcp?apis=chatgptstreamable-http

What it can do

Tool inventory

Tools (1)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢hasdata_chatgpt_chat_getChatgptAnswer(prompt, timezone)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "The question or instruction to send to ChatGPT, up to 8000 characters. A prompt that asks about recent events makes ChatGPT search the web and return sources; a general-knowledge prompt is answered from the model alone. The prompt also decides the language of the answer — write it in the language you want back, or ask for one explicitly (\"Antworte auf Deutsch\")."
    },
    "timezone": {
      "type": "string",
      "description": "IANA time zone name, for example `America/Chicago` or `Europe/Berlin`. It sets what ChatGPT treats as the current date and time, which matters for prompts that say \"today\", \"this week\" or \"latest\"."
    }
  },
  "required": [
    "prompt"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded1 tools