AI is increasingly becoming the interface for working with data.

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Instead of navigating dashboards, publisher teams and ad management companies are starting to query systems directly, asking questions, generating reports, and monitoring performance through AI chat and agents.

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At Ad-Shield, we aim to be at the forefront of these shifts.

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Introducing the Ad-Shield MCP server

As part of this, we have launched a remote Model Context Protocol (MCP) server.

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This allows customers to connect their Ad-Shield account to Claude, Cursor, Windsurf, and other MCP-compatible AI clients.

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The MCP server exposes the same Ad-Shield data already available in the dashboard. AI can query this directly by prompting it through chat, or, via an agent.

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What it does and how it is used

Once connected, your AI client can access data across the websites linked to your account.

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This includes:

• Website-level visibility (with desktop and mobile breakdown)
• Daily performance data (revenue, impressions)
• Demand type (programmatic, direct, house)

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In practice, this allows you to query your data in a more flexible way.

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For example:

• “Which of my sites generated the most revenue last week?”
• “Show daily impressions for the past month, broken down by device.”
• “Compare programmatic versus direct revenue across my portfolio in April.”

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For teams already using AI, this can simplify workflows and enable more continuous monitoring. For others, it offers a foundation for adopting these workflows over time.

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Setting it up

The Ad-Shield MCP server can be connected to any MCP-compatible AI client.

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Need help setting it up?

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Email pubops@ad-shield.io or contact your account manager.

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