MCP

GrackerAI supports the Model Context Protocol (MCP), which lets you connect your AI assistant directly to your visibility data. Instead of exporting reports or copying data into a chat, your AI can query GrackerAI live and answer questions in context.

Connect in 30 seconds

All you need is one URL:

https://portal.gracker.ai/mcp

Paste it into your AI client's MCP settings and authorise with your GrackerAI account. That's it.

Setting up each client

Claude Desktop config:

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

First connection

A browser window opens for you to log in to GrackerAI and grant access. After that, the connection is persistent - you won't need to authorise again unless you revoke it.

What your data covers

There's no fixed list of supported questions to memorise - ask in plain language and your assistant works out the rest. What it can reach:

• Visibility - your score, presence, and mention counts, per prompt, engine, and country, over any date range
• Mentions - every time a brand is named: where in the answer, how prominently, with what sentiment, and whether the claim about it was accurate
• Citations - every URL an AI answer cited: which domain, what kind of source it is, when it was published, and whether it backed the claim or contradicted it
• Competitors and discovered brands - who you're being compared with, including rivals you haven't added yet
• Prompts - your tracked prompt set and its results, with intent and funnel stage

Use cases worth setting up

Find the forums and blogs AI actually reads

Every cited URL is classified by the kind of source it is, so you can ask for a category rather than guessing at domains.

"Show me the top 15 forums and blogs cited in answers about my category in the last 30 days, with how many times each was cited."

Categories cover forums (Reddit, Quora, Hacker News, Stack Overflow), blogs, news, comparison and "best X" roundups, review sites like G2 and Capterra, YouTube, social, Wikipedia, academic papers, analyst reports, directories, and more. The answer is an outreach list: the places AI quotes when it answers questions in your market.

Useful follow-ups:

• "Which of those threads cite a competitor but not us?"
• "Which cited pages are more than two years old?" - stale sources you could outrank with something current
• "Which citations actually contradict the claim being made?"

Build a weekly visibility report without exporting anything

"Compare my visibility score for the last 7 days against the previous 7 days, broken down by engine and country. List the five prompts that moved most in each direction."

The data is live, so the same question works every Monday. Ask your assistant to save it as a reusable prompt or project instruction and you have a standing report.

Find where a competitor is beating you, prompt by prompt

"For every prompt where a competitor was mentioned and my brand wasn't in the last 30 days, list the prompt, the competitor, and the URLs cited in those answers."

One question, one answer - the sort of thing that otherwise takes three dashboard screens to assemble by hand.

Check how you're being described, not just whether

"Show me every mention of my brand with negative sentiment in the last 30 days, with the context snippet, the engine, and the prompt that triggered it."

Then ask which of those answers were outdated or factually wrong about you - those are the ones worth correcting at the source.

See who you're being grouped with

"Which entities co-occur with my brand most often, and which of them aren't in my tracked competitor list?"

This surfaces the rivals you haven't noticed yet. Anything that keeps appearing beside you is a competitor whether or not you've called it one.

Audit your own prompt set

"List every tracked prompt that has had zero brand mentions across all engines in the last 60 days, with its intent and funnel stage."

Useful as a cross-check against Prompt Diagnosis: the diagnosis judges prompts on quality, this judges them on results.

What MCP can't reach

Two things people ask for that aren't available through MCP today:

• AEO Audit scores. Page Health, the sub-scores, and the issue list are read in the AEO Audit section, not through MCP.
• Articles. Generated content isn't available either - use the Articles editor and its Markdown export.

If your assistant produces either one anyway, treat it as invented and check the number in the app.

Getting better answers

Security

Need help?

Contact support@gracker.ai if you run into issues connecting.