原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Cited AI Visibility Check

作者:impowerdlifestyle-code版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.impowerdlifestyle-code/cited-mcp

安装

概览

作者提供的说明(英文原文)

Check whether ChatGPT, Perplexity and Gemini recommend a business. By Cited (cited.voreli.ai)

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。

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆
  • 你需要填写:OPENAI_API_KEY, PERPLEXITY_API_KEY, GEMINI_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
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: OPENAI_API_KEY, PERPLEXITY_API_KEY, GEMINI_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

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

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 …”。

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

{
  "mcpServers": {
    "cited": {
      "command": "npx",
      "args": [
        "-y",
        "cited-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "PERPLEXITY_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add cited --env OPENAI_API_KEY=your-value --env PERPLEXITY_API_KEY=your-value --env GEMINI_API_KEY=your-value -- npx -y cited-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": {
    "cited": {
      "command": "npx",
      "args": [
        "-y",
        "cited-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "PERPLEXITY_API_KEY": "your-value",
        "GEMINI_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": {
    "cited": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "cited-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value",
        "PERPLEXITY_API_KEY": "your-value",
        "GEMINI_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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • OPENAI_API_KEY 机密 env
    OpenAI key for ChatGPT-style answers with web search
  • PERPLEXITY_API_KEY 机密 env
    Perplexity key for Sonar answers
  • GEMINI_API_KEY 机密 env
    Google AI Studio key for Gemini with Google Search grounding

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 impowerdlifestyle-code 验证,该账户拥有此仓库

  • … 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7286 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7286 个服务器的 51% 更新
  • 基础检查结果等于或优于此分类中其他 7286 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

Cited AI Visibility Check 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:OPENAI_API_KEY, PERPLEXITY_API_KEY, GEMINI_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于37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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

Cited AI Visibility Check (MCP server)

Ask ChatGPT, Perplexity and Gemini the questions your customers ask, with live web search on, and see whether they recommend your business. By Cited , the AI visibility tracker from Voreli AI .


cited-mcp is an open-source Model Context Protocol server. Add it to Claude Desktop, Claude Code, Cursor or any MCP client, then ask something like:

Check whether AI engines recommend Sunshine Dental (sunshinedental.com) for family dentist questions in Tampa, FL.

For every question and engine it reports:

  • whether the business was named in the answer
  • its position if the answer was a list
  • whether its website was cited as a source
  • which competitors were named
  • the source domains the engine leaned on
  • an estimated cost for the call, from token usage at list prices

Tool

check_ai_visibility
ArgumentRequiredNotes
business_nameyese.g. Sunshine Dental & Implants, LLC
websitenoe.g. sunshinedental.com. Used to detect citations of your pages.
questionsno1 to 10 buyer questions.
categoryif no questionse.g. family dentist. Generates 5 generic buyer questions.
locationnoe.g. Tampa, FL. Used in generated questions.
enginesnoAny of openai, perplexity, gemini. Default: every engine with a key.

Name matching ignores case and punctuation, treats & and and as the same, drops legal suffixes such as LLC, Inc and Co, and also counts a mention of your website domain. Website citation matches the domain and its subdomains against every URL the engine cited.

Install

You bring your own API keys and pay each provider directly. Set any one, two or all three; engines without a key are skipped with a note.

Claude Desktop

Edit claude_desktop_config.json (Settings, Developer, Edit Config):

{

"mcpServers": { "cited": { "command": "npx", "args": ["-y", "cited-mcp"], "env": { "OPENAI_API_KEY": "sk-...", "PERPLEXITY_API_KEY": "pplx-...", "GEMINI_API_KEY": "..." } } } }

Claude Code
claude mcp add cited -e OPENAI_API_KEY=sk-... -e PERPLEXITY_API_KEY=pplx-... -e GEMINI_API_KEY=... -- npx -y cited-mcp
Cursor

Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):

{

"mcpServers": { "cited": { "command": "npx", "args": ["-y", "cited-mcp"], "env": { "OPENAI_API_KEY": "sk-...", "PERPLEXITY_API_KEY": "pplx-...", "GEMINI_API_KEY": "..." } } } }

Any other MCP client works the same way: run npx -y cited-mcp over stdio with the keys in its environment. Node 20 or newer.

Environment variables

VariableEngineDefault model
OPENAI_API_KEYChatGPT via the OpenAI Responses API with the web_search toolgpt-5.4-mini (override with OPENAI_MODEL)
PERPLEXITY_API_KEYPerplexity Sonar (search is built in)sonar (override with PERPLEXITY_MODEL)
GEMINI_API_KEYGemini with Grounding with Google Searchgemini-3.5-flash-lite (override with GEMINI_MODEL)

The API versions of these engines are close to, but not the same as, the consumer apps. ChatGPT, Perplexity and Gemini in the browser can use different models, personalization and location signals.

Example output

This is the tool's real output format, run against the sample responses in test/fixtures, which follow each provider's documented response format (the businesses are made up):

# AI visibility check: Sunshine Dental & Implants (sunshinedental.com)
  • ChatGPT (OpenAI API): named in 1 of 1 answers, website cited in 1
  • Perplexity: named in 0 of 1 answers, website cited in 0
  • Gemini: named in 1 of 1 answers, website cited in 1

"What is the best dentist in Tampa, FL?"

  • ChatGPT (OpenAI API): NAMED, #2 of 3 listed, website cited
  • Named instead: Bayshore Smiles, Harbor Family Dentistry
  • Sources: bayshoresmiles.com, yelp.com, sunshinedental.com
  • Perplexity: not named, website not cited
  • Named instead: Harbor Family Dentistry, Bayshore Smiles, Westshore Dental Group
  • Sources: yelp.com, bayshoresmiles.com, healthgrades.com
  • Gemini: NAMED, #2 of 3 listed, website cited
  • Named instead: Westshore Dental Group, Bayshore Smiles
  • Sources: sunshinedental.com, yelp.com

Estimated provider cost: $0.0229. AI answers change from run to run, so treat one check as a snapshot, not a score. Costs are estimates from token usage at list prices; you pay your provider directly.

Track this weekly with Cited: https://cited.voreli.ai

The tool also returns the same data as structured JSON (structuredContent) for clients that use it.

Cost

There is no Cited fee and no account. Each question is one API call per engine, billed to your own provider account at their list prices (checked October 2026):

EngineWhat you pay per question
OpenAI gpt-5.4-mini$10 per 1,000 web search calls, plus tokens at $0.75 per 1M input and $4.50 per 1M output. Search results count as input tokens.
Perplexity sonar$5 per 1,000 requests (low search context), plus tokens at $1 per 1M. Perplexity reports the exact cost and the tool uses it.
Gemini gemini-3.5-flash-liteSee Google's current Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing). The cost estimate shows $0 for models without a built-in price; check your Google billing for the real figure.

In practice that is a few cents or less per question per engine, so a default check (5 questions on 3 engines, 15 calls) should land well under a dollar. Every result includes an estimate computed from the token counts the provider returned. It does not include Gemini grounding fees past the free daily allowance. Check your provider dashboard for the exact charge. Prices change; see OpenAI, Perplexity and Gemini.

Run one live check
PERPLEXITY_API_KEY=your-key npm run live

Uses whichever of OPENAI_API_KEY, PERPLEXITY_API_KEY and GEMINI_API_KEY are set. Override the target with BUSINESS, WEBSITE, LOCATION and QUESTION. A single check costs a few cents.

Limitations

  • Answers vary from run to run. In our Tampa Bay AI Search Study 2026, we asked ChatGPT the same 12 questions twice. On average the two answers shared 11% of the businesses they named, and on 6 of the 12 questions they shared none. One check is a snapshot. Trends need repeated checks over time.
  • API is not the app. Results approximate what people see in the consumer apps; they are not identical.
  • Competitor names are pulled heuristically from list items, headings and bold text. Expect the odd miss or stray phrase. The answer excerpt is included so your assistant can read it directly.
  • Name matching is fuzzy, not magic. A nickname or abbreviation the engine uses (for example "SDI" for Sunshine Dental & Implants) will not match unless you pass it as the business name.
  • Location. The engines infer location from the question text, so put the city in the question.

Tracking it over time

This server answers "are we named today?". Cited runs the same questions every week across engines, stores the history, and shows which competitors and sources are winning so you can see whether your work is moving the number.

Related free tools

Development

npm install

npm test # unit tests against sample responses, no network npm run typecheck npm run build npm run smoke # spawns the server over stdio, lists tools, runs a no-key call

To try it with the MCP Inspector: npx @modelcontextprotocol/inspector node dist/index.js.

License

MIT. Built by Voreli AI. Questions or ideas: open an issue, or visit cited.voreli.ai.

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