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.

Works with Claude, ChatGPT, Cursor, Windsurf, and any MCP-compatible client - all using the same endpoint URL.

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

Add to claude_desktop_config.json and restart Claude

ChatGPT

Settings → Connectors → Add MCP → paste URL

Cursor

MCP server settings → add URL → save

Windsurf & others

Any MCP-compatible client - add the URL in server settings

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 you can ask

Once connected, just ask your AI assistant naturally:

"Which prompts have the lowest visibility score this week?"

"What domains are AI surfaces citing most in my category?"

"Where is Competitor X appearing that I'm not?"

"Show me citation trends for my brand over the last 30 days"

Your AI handles the query - you get live answers from your workspace data.

Security

✓All queries are read-only - nothing in your workspace can be created, edited, or deleted through MCP

✓Results are scoped to brands you have access to

✓Token permissions cannot exceed your own account's access level

✓MCP access and monthly request limits are set by your plan - MCP is not available on the Free plan

Need help?

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

GraphQL API Workspace Management