HasData ChatGPT

Name: HasData ChatGPT
Author: HasData

作者：HasData版本 1.0.0i★ –i电脑或云端

注册名称com.hasdata/chatgpt

安装

概览

作者提供的说明（英文原文）

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 其他
你需要填写：HASDATA_API_KEY, x-api-key

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
需要你自己填写： HASDATA_API_KEY, x-api-key

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "chatgpt": {
      "command": "npx",
      "args": [
        "-y",
        "@hasdata/chatgpt-mcp"
      ],
      "env": {
        "HASDATA_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http chatgpt 'https://mcp.hasdata.com/mcp?apis=chatgpt' --header 'x-api-key: your-value'

或者在你的电脑上运行

claude mcp add chatgpt --env HASDATA_API_KEY=your-value -- npx -y @hasdata/chatgpt-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "chatgpt": {
      "url": "https://mcp.hasdata.com/mcp?apis=chatgpt",
      "headers": {
        "x-api-key": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "chatgpt": {
      "command": "npx",
      "args": [
        "-y",
        "@hasdata/chatgpt-mcp"
      ],
      "env": {
        "HASDATA_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "chatgpt": {
      "type": "http",
      "url": "https://mcp.hasdata.com/mcp?apis=chatgpt",
      "headers": {
        "x-api-key": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "chatgpt": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@hasdata/chatgpt-mcp"
      ],
      "env": {
        "HASDATA_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

HASDATA_API_KEY 机密必填 env
HasData API key, created at app.hasdata.com. 1,000 free credits every month, no card.
x-api-key 机密必填 HTTP header
HasData API key, created at app.hasdata.com. 1,000 free credits every month, no card.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过域名 hasdata.com 验证（注册中心会核实域名所有权）
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32410 个服务器的 0%
发布到注册中心的时间比此分类中其他 32410 个服务器的 56% 更新
基础检查结果等于或优于此分类中其他 32410 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

HasData ChatGPT 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：HASDATA_API_KEY, x-api-key

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.0.0）于32天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, debuff

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

debuff

作者：debuffjp

Let coding agents play, test and tune your 2D web game: live state, explained errors, replays, fuzz.

在你的电脑上运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

ChatGPT MCP Server

A hosted ChatGPT MCP server that gives Claude, Cursor, Windsurf and any other MCP client one ChatGPT tool. Send a prompt anonymously and get the answer back as markdown together with the web pages ChatGPT consulted, as structured JSON, with no OpenAI account and no API key of your own.

1,000 free credits every month, no card required, which is 100 prompts.

https://mcp.hasdata.com/mcp?apis=chatgpt

What you need
Quick start
Example prompts
Tools
Errors and failure paths
Pricing, free tier and limits
How it compares
FAQ
HasData links
Development
Contributing
License

What you need

An MCP client and a HasData API key from the dashboard, free to create with no card, and the free tier covers 100 calls a month at the 10-credit rate. This is a remote server, so the simplest path is a URL and an x-api-key header, with no container to run and no OpenAI billing anywhere in the flow. A client that only speaks stdio reaches it through a thin launcher, published as @hasdata/chatgpt-mcp on npm and hasdata-chatgpt-mcp on PyPI, shown below.

Quick start

The server URL is the same for every client. We run it hands-on in Claude Code and Claude Desktop. The other blocks follow each client's own documented format for a remote server.

Field	Value
URL	`https://mcp.hasdata.com/mcp?apis=chatgpt`
Transport	HTTP, streamable
Auth header	`x-api-key: HASDATA_API_KEY`

Clients with OAuth support can add the same URL as a connector and sign in without putting a key in a config file.

Claude Code

claude mcp add --transport http chatgpt "https://mcp.hasdata.com/mcp?apis=chatgpt" \

--header "x-api-key: HASDATA_API_KEY"

Claude Desktop

"mcpServers": { "chatgpt": { "type": "http", "url": "https://mcp.hasdata.com/mcp?apis=chatgpt", "headers": { "x-api-key": "HASDATA_API_KEY" } } } }

Cursor

"mcpServers": { "chatgpt": { "type": "streamable-http", "url": "https://mcp.hasdata.com/mcp?apis=chatgpt", "headers": { "x-api-key": "HASDATA_API_KEY" } } } }

VS Code

"servers": { "chatgpt": { "type": "http", "url": "https://mcp.hasdata.com/mcp?apis=chatgpt", "headers": { "x-api-key": "HASDATA_API_KEY" } } } }

Example prompts

Prompts, not code. Paste one in and the agent picks the tool itself. Each is annotated with the calls it takes, because every successful call costs 10 credits.

Ask ChatGPT what the current state of the Artemis program is, and list the sources it used.

*One call, 10 credits. The answer and the sources come back together.*

Ask ChatGPT the same question in German.

*One call, 10 credits. The answer follows the language of the prompt, so write the prompt in the language you want back.*

Ask ChatGPT what happened in AI this week, with Berlin as the current date.

*One call, 10 credits. timezone is what fixes the meaning of "this week".*

Put the same question to ChatGPT three times and show where the answers differ.

*Three calls, 30 credits. Each request is a fresh conversation, so there is no carry-over between them.*

Tools

Tool	What it returns
`hasdata_chatgpt_chat_getChatgptAnswer`	The answer as markdown, the web sources ChatGPT consulted with their domain and title, the conversation title it generated, the model that answered, and whether a web search was used. 10 credits a call

One tool, 10 credits per successful call.

Ask ChatGPT

hasdata_chatgpt_chat_getChatgptAnswer

Parameter	Type	Required	Notes
`prompt`	string	yes	The question or instruction, up to 8000 characters
`timezone`	string		IANA zone name such as `Europe/Berlin`. It sets what ChatGPT treats as today

Everything lands under conversation. The answer is in answer as markdown, with title holding the name ChatGPT generated for the thread, model the model that answered, and usedWebSearch saying whether it went to the web at all. finishReason and complete tell a truncated answer from a finished one.

"conversation": { "answer": "As of October 5, 2026, NASA's Artemis program has made substantial progress…", "title": "Artemis developments cited", "model": "gpt-5-6", "usedWebSearch": true, "finishReason": "stop", "complete": true, "sources": [ { "title": "Artemis News - NASA", "url": "https://www.nasa.gov/artemis-news/", "domain": "www.nasa.gov" } ] } }

Errors and failure paths

Your client almost never sees an HTTP error code from a tool call. The MCP layer answers 200 and puts the failure inside the result, with isError set to true and the reason as text.

`sources` is uneven, and partly absent. In a measured answer carrying twenty sources, every one had title, url and domain, eleven had publishedDate and only five had snippet. Read each field defensively rather than assuming the shape of the first element holds for the rest.

No web search means no sources. usedWebSearch is false when ChatGPT answers from the model alone, and sources is then empty or missing. A prompt about a stable fact often takes that path, so ask for current information when citations are the point.

Every call is a fresh conversation. There is no memory between requests, so a follow-up has to carry its own context in the prompt. conversationId identifies the thread that answered, not a thread you can continue.

A truncated answer still succeeds. Check complete and finishReason before treating answer as the whole response.

Each successful call spends credits from the connected account. A call that fails validation is not billed.

Pricing, free tier and limits

The ChatGPT tool costs 10 credits per successful call. Answer length does not change the price.

The free tier is 1,000 credits every month with no card, which is 100 prompts.

Paid plans start at $59 a month for 200,000 credits, which is 20,000 calls. The unit price falls on larger plans. Current numbers are on the plans page.

How it compares

	OpenAI API	This server
Account	Your own OpenAI account and billing	One HasData key
What you get	The model's answer	The answer plus the web sources behind it
Web search	A separate tool you wire up	Included, with `usedWebSearch` reporting whether it ran
Output	Your own schema	Parsed JSON with the sources already split out

The two are not substitutes. The OpenAI API is the right call when you need system prompts, tools, streaming and conversation state. This server is the right call when you want what ChatGPT publicly answers, with its citations, and no account of your own.

FAQ

Do I need an OpenAI account or an API key?

No. The server answers anonymously through HasData, and the only credential involved is your HasData key.

Which model answers?

Whichever ChatGPT serves anonymously at the time. The response reports it in model, so read it rather than assuming. A measured call returned gpt-5-6.

Can I continue a conversation?

No. Each request is a fresh thread with no memory of earlier ones. Carry the context in the prompt instead.

What language will the answer be in?

The language of the prompt. Ask in German and the answer comes back in German, or ask explicitly for a language in the prompt.

Is HasData affiliated with OpenAI?

No. HasData is an independent web data provider and is not affiliated with, endorsed by or sponsored by OpenAI. All trademarks belong to their owners.

Compliance and personal data

The server reads what ChatGPT answers publicly to an anonymous visitor. It does not log in, and it does not reach private conversations or account data.

HasData links


Product page and request builder	ChatGPT Scraper API
Endpoint documentation	ChatGPT Scraper API docs
Server documentation	MCP server docs
Every tool in one server	HasData/hasdata-mcp
Client walkthroughs	MCP clients and integrations
Plans and credit costs	Plans and credit costs

Development

npm install

npm test

The tests in test/ assert the tool contract, the part that can break without a commit here. They check that ?apis=chatgpt returns the one expected tool, that its name and required parameter have not changed, that it carries a description, and that a real call still puts the answer under conversation.

Contributing

The parameter table and the sample above were read from the live schema and from real calls rather than from documentation. A correction is welcome when a field or a failure mode has changed. Open an issue with the response you saw.

License

MIT

HasData ChatGPT

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“其他”中的其他服务器比较i

常见问题

替代选择

Spec Driven Development

Remote Desktop Commander

debuff

作者的 README

ChatGPT MCP Server

Contents

What you need

Quick start

Example prompts

Tools

Ask ChatGPT

Errors and failure paths

Pricing, free tier and limits

How it compares

FAQ

Do I need an OpenAI account or an API key?

Which model answers?

Can I continue a conversation?

What language will the answer be in?

Is HasData affiliated with OpenAI?

Compliance and personal data

HasData links

Development

Contributing

License