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Ai Answer Visibility Tracker MCP Server

Developer ToolsModerate6.6MCP RegistryLocal
Free

Server data from the Official MCP Registry

Whether AI Overviews, ChatGPT, Claude, Perplexity, and Gemini name and cite a brand.

About

Whether AI Overviews, ChatGPT, Claude, Perplexity, and Gemini name and cite a brand.

Security Report

6.6
Moderate6.6Moderate Risk

The server is a thin client that reads APIFY_TOKEN and optional engine API keys from its environment and calls only api.apify.com to start, poll, and read an Apify actor run. The main concern is that the user's OpenAI, Anthropic, Perplexity, and Gemini keys are forwarded in the actor run input to a third-party platform, where they may be stored with the run, which the README's no-storage wording does not fully cover. No malicious patterns, shell execution, or hardcoded secrets were found. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.

7 files analyzed · 7 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

What You'll Need

Set these up before or after installing:

Apify API token from https://console.apify.com/account/integrationsRequired

Environment variable: APIFY_TOKEN

Optional. Your own OpenAI API key, only for that engine.Required

Environment variable: OPENAI_API_KEY

Optional. Your own Anthropic API key, only for that engine.Required

Environment variable: ANTHROPIC_API_KEY

Optional. Your own Perplexity API key, only for that engine.Required

Environment variable: PERPLEXITY_API_KEY

Optional. Your own Google AI Studio (Gemini) API key, only for that engine.Required

Environment variable: GEMINI_API_KEY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "com-mambabuilt-mcp-ai-answer-visibility-tracker": {
      "env": {
        "APIFY_TOKEN": "your-apify-token-here",
        "GEMINI_API_KEY": "your-gemini-api-key-here",
        "OPENAI_API_KEY": "your-openai-api-key-here",
        "ANTHROPIC_API_KEY": "your-anthropic-api-key-here",
        "PERPLEXITY_API_KEY": "your-perplexity-api-key-here"
      },
      "args": [
        "-y",
        "@mambalabsdev/mcp-ai-answer-visibility-tracker"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

AI Answer Visibility Tracker MCP Server

Glama score MCP Registry npm version npm downloads license mcpservers.org

An MCP server for the Mamba Labs AI Answer Visibility Tracker actor on Apify. Give it a brand and the questions its buyers ask. Each question is asked several times on Google AI Overviews and, on your own API keys, on ChatGPT, Claude, Perplexity, and Gemini, and every answer is checked for the brand.

What's Inside

What it does

  • Sample rows: one row per answer, with brand_named, brand_cited, first_mention_rank, competitors_named, competitors_cited, cited_domains, and an answer excerpt.
  • Rates rows: one question_summary row per question and engine, with brand_named_rate, brand_cited_rate, a 95 percent range for the named rate, the top cited domains, and each competitor's rates. One free brand_summary row per engine covers all questions.
  • Google AI Overviews with no key: shown, not_shown (no overview on the page), or deferred (Google writes the overview live and loads it after the page; free and left out of the rates).

Bad input returns one free row whose error_reason starts with input_invalid:.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

{
  "mcpServers": {
    "mamba-ai-answer-visibility-tracker": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-ai-answer-visibility-tracker"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The track_ai_answer_visibility tool appears.

To ask ChatGPT, Claude, Perplexity, or Gemini as well, add that vendor's key to the same env block: OPENAI_API_KEY, ANTHROPIC_API_KEY, PERPLEXITY_API_KEY, or GEMINI_API_KEY.

Prerequisites

  • Node.js 18 or newer.
  • An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.
  • Optional: your own OpenAI, Anthropic, Perplexity, or Google AI Studio key for those engines.

Example prompts

  • "Does Google's AI Overview mention HubSpot for best crm for small business? Ask 3 times."
  • "For these 10 questions, how often do AI answers name Attio, and how often do they name HubSpot and Pipedrive?"
  • "Which sites do AI Overviews cite most for best wiki tool for a remote team?"

Tool

track_ai_answer_visibility. One tool. Example arguments:

{
  "brand_name": "HubSpot",
  "brand_domain": "hubspot.com",
  "questions": [
    "best crm for small business"
  ],
  "samples": "3",
  "competitors": [
    "Pipedrive|pipedrive.com",
    "zoho.com"
  ]
}

Inputs

Every buyer facing input of the actor except the four engine keys, which come from the server environment so they never pass through the conversation. Omitted inputs take the actor's own defaults. Numbers and booleans are sent as strings.

InputTypeDescription
brand_namestringRequired. The brand to look for, as people write it. Matched as a whole word, any case
questionsarrayRequired. 1 to 50 questions buyers ask
brand_domainstringThe brand domain, such as hubspot.com. A cited page on it, or on a subdomain, counts as cited
enginesarrayAny of google_ai_overview, openai, anthropic, perplexity, gemini. Default google_ai_overview
samplesstringAsks per question per engine, 1 to 10. Default 3
competitorsarrayUp to 20, as a name, a domain, or name|domain
brand_aliasesarrayOther ways answers write the brand
country, languagestringFor Google. Default us, en
include_answer_textstringtrue (default) or false
openai_model, anthropic_model, perplexity_model, gemini_modelstringDefaults gpt-5-mini, claude-sonnet-5-5, sonar, gemini-2.5-flash
max_charge_usdstringOptional. The run stops before it would charge more than this

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

EventFree planBronzeSilverGold
ai-overview-sample, one Google result page read for one question$0.0316$0.03002$0.02844$0.02686
answer-sample, one answer from ChatGPT, Claude, Perplexity, or Gemini on your own key$0.009$0.00855$0.0081$0.00765
question-summary, one rates row per question and engine$0.003$0.00285$0.0027$0.00255
apify-actor-start, per run start$0.001082$0.001082$0.001082$0.001082

Deferred Google samples, blocked pages, engine errors, the brand rates rows, and refused input are free.

Your keys

Google AI Overviews needs no key. ChatGPT, Claude, Perplexity, and Gemini run on your own API key, read from this server's environment and passed in the run input as a secret field. The actor sends a key only to that vendor's API and never logs, stores, or returns it. The model use is billed to you by that vendor. Mamba Labs pays the Apify platform and proxy costs of the run.

Full actor documentation

apify.com/mambalabs/ai-answer-visibility-tracker

License

MIT. See LICENSE.

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