MCP serverData AI Search / MCP

The Data AI Search MCP server

The Data AI Search MCP server connects your Intura workspace to AI assistants over the Model Context Protocol. Add one private URL to Claude, Claude Code, Cursor or another MCP client, and the assistant can read your audits, start new ones and look up what your category asks AI.

Same data and same credits as the dashboard. You ask for it in a chat instead of opening a report.

Get your API keySee the integration page

Included on paid plans ·

Tools01

What can the MCP server do?

It exposes tools in four groups. Your assistant picks the right tool from your question, so you never have to type a tool name.

  • AI Visibility Audit

    List and create AI Visibility projects, manage their prompts, run them, check run status, and read the report, prompt clusters and next actions.

    Tool names

    • audit_list_ai_visibility_projects
    • audit_get_ai_visibility_report
    • audit_create_ai_visibility_project
    • audit_update_ai_visibility_project
    • audit_list_ai_visibility_prompts
    • audit_add_ai_visibility_prompts
    • audit_remove_ai_visibility_prompts
    • audit_run_ai_visibility_prompts
    • audit_get_ai_visibility_run_status
    • audit_get_ai_visibility_clusters
    • audit_get_ai_visibility_next_actions
    • audit_update_ai_visibility_action

  • Website Audit

    Start, refresh or re-run a website audit, re-check a single page, follow progress, and read the problems, pages and action items.

    Tool names

    • audit_list_website_audits
    • audit_get_website_audit
    • audit_start_website_audit
    • audit_refresh_website_audit
    • audit_rerun_website_audit
    • audit_recheck_website_page
    • audit_get_website_audit_progress
    • audit_get_website_audit_problems
    • audit_list_website_audit_pages
    • audit_list_website_audit_actions
    • audit_update_website_audit_action

  • Category Overview

    Read the categories you follow: top questions, keywords, brands and customer segments, plus a search across the category's questions.

    Tool names

    • category_list_followed
    • category_get_questions
    • category_get_keywords
    • category_get_entities
    • category_get_segments
    • category_search_questions

  • Automation results

    List and open the results your scheduled automations produced.

    Tool names

    • list_automation_results
    • get_automation_result

Tool list from the Integrations docs

Setup02

How do I connect it?

Every client needs the same thing: your private server URL from Integrations → MCP in the dashboard. Only the place you paste it changes.

Three steps, any client

  1. 1

    Get your API key

    Open Integrations → MCP in the Intura dashboard. Your personal server URL comes with the key already filled in.

  2. 2

    Add the server to your client

    Run one command in Claude Code, drop the JSON into your MCP config, or paste the URL as a custom connector.

  3. 3

    Ask in plain language

    Start a new chat and ask about your brand, your website, or your market. Actions use the same credits as the dashboard.

Claude appURL
  1. 1.

    Copy your server URL from Integrations in the Intura dashboard.

  2. 2.

    In Claude, open Settings → Connectors and choose Add custom connector.

  3. 3.

    Name it Intura, paste the URL, and save. Start a new chat and ask about your brand.

https://api.dataaisearch.com/mcp?api_key=YOUR_API_KEY
Claude CodeTerminal
  1. 1.

    Copy your server URL from Integrations in the Intura dashboard.

  2. 2.

    Run this command in your terminal.

  3. 3.

    Open Claude Code and type /mcp to check that Intura is connected.

claude mcp add --transport http intura \
  "https://api.dataaisearch.com/mcp?api_key=YOUR_API_KEY"
Cursor.cursor/mcp.json
  1. 1.

    Copy your server URL from Integrations in the Intura dashboard.

  2. 2.

    Open Cursor Settings → MCP and add a new server, or put this in .cursor/mcp.json.

  3. 3.

    Save. Intura appears in Cursor's MCP list and the agent can use it.

{
  "mcpServers": {
    "intura": {
      "url": "https://api.dataaisearch.com/mcp?api_key=YOUR_API_KEY"
    }
  }
}
Other assistantsmcp.json
  1. 1.

    Copy your server URL from Integrations in the Intura dashboard.

  2. 2.

    Add it as a remote (HTTP) server in your assistant's MCP settings.

  3. 3.

    Restart the assistant if it asks, then ask in plain language.

{
  "mcpServers": {
    "intura": {
      "url": "https://api.dataaisearch.com/mcp?api_key=YOUR_API_KEY",
      "transport": "http"
    }
  }
}

Replace YOUR_API_KEY with your own key. The URL you copy from Integrations in the dashboard already has it filled in.

Before you connect03

What should I know before connecting?

  • On paid plans

    The integration is included with every paid Intura plan.

  • Same credits as the dashboard

    Reading your data costs 1 credit. Running an audit costs what it costs in the dashboard.

  • Your URL is your key

    Treat it like a password. Anyone who has it can read your workspace and spend credits.

  • Your client needs remote MCP

    The server runs over HTTP, so your assistant has to support remote MCP servers. The Claude app, Claude Code and Cursor do.

Read more04

Where can I read more?

The integration page walks through each assistant with example questions and an FAQ. The docs cover the tool list, setup and credits.

MCP server

The Data AI Search MCP server

Get your API key