How do I install Gracker?

Gracker is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Gracker safe to use?

Yes. Gracker passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Gracker?

Gracker uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Gracker MCP Server

by Grackerai

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

See how ChatGPT, Perplexity, Gemini and Google AI Overviews mention and cite your brand.

About

See how ChatGPT, Perplexity, Gemini and Google AI Overviews mention and cite your brand.

Remote endpoints: streamable-http: https://portal.gracker.ai/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

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

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "ai-gracker-mcp": {
      "url": "https://portal.gracker.ai/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

GrackerAI MCP Server

Bring your AI visibility data into Claude, ChatGPT, Cursor, and any other MCP client.

GrackerAI tracks how AI engines (ChatGPT, Perplexity, Gemini, Copilot, Grok, and Google AI Overviews) talk about your brand. With this MCP server, your AI assistant can query that data live. You don't need to export reports or copy numbers into a chat.

This is a hosted (remote) MCP server. There is nothing to install or run. Add the URL below to your client and sign in with your GrackerAI account.

https://portal.gracker.ai/mcp

Transport: Streamable HTTP
Auth: OAuth (sign in with your GrackerAI account)
Access: Read-only. It cannot change anything in your account.
Docs: https://gracker.ai/docs/advanced/mcp/
Product page: https://gracker.ai/platform/ai-visibility/mcp/

Setup

Chat apps

Client	Where to add it
Claude	Settings → Connectors → Add custom connector → paste the URL
ChatGPT	Settings → Connectors → Add custom connector → paste the URL
Copilot	Settings → Connectors → Add custom connector → paste the URL
Gemini	Extensions → Add custom MCP server → paste the URL
Grok	Connectors → Add custom connector → paste the URL
Perplexity	Settings → Connectors → Add custom connector → paste the URL

Cursor

.cursor/mcp.json:

{
  "mcpServers": {
    "gracker": {
      "url": "https://portal.gracker.ai/mcp"
    }
  }
}

VS Code

.vscode/mcp.json:

{
  "servers": {
    "gracker": {
      "type": "http",
      "url": "https://portal.gracker.ai/mcp"
    }
  }
}

Claude Code

claude mcp add --transport http gracker https://portal.gracker.ai/mcp

Any other MCP client works the same way: add the URL in its server settings.

First connection

A browser window opens so you can log in to GrackerAI. Next, pick which brands this connection can access. All brands start selected, and your assistant only sees the brands you leave selected. To disconnect, remove the connector from your AI client.

Tools

Tool	What it does
`get_visibility_schema`	Returns the shape of your AI visibility data (types and fields). Your assistant reads this first.
`query_visibility_data`	Runs a read-only query against your data. Results are always limited to the brands you authorized.

What you can ask

You don't need to learn a query language. Ask in plain words and your assistant writes the query.

"What's my visibility score for the last 7 days? Break it down by engine."
"Which tracked prompts had zero mentions of my brand in the last 60 days?"
"Show negative mentions of my brand this month, with the engine and the prompt that triggered each."
"Which competitors show up most often in answers where I'm missing?"
"Which domains do AI answers cite most for my category prompts?"

Data covered

Visibility: score, presence, and mention counts by prompt, engine, country, and date range
Mentions: each time a brand is named, with position, prominence, sentiment, and whether the claim was accurate
Citations: each URL an AI answer cited, with domain, source type, publish date, and whether it supported the claim
Competitors: the competitors you track plus brands AI engines compare you with
Prompts: your tracked prompts and their results, with intent and funnel stage

Requirements

You need a GrackerAI account with at least one brand set up. Start here.

Support

Questions or problems: open an issue in this repo or see the docs.

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