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The AdAdvisor MCP server gives your AI assistant (Claude, ChatGPT, Cursor, Codex, etc.) direct access to your Meta (Facebook and Instagram) ad data. Ask questions in natural language, get answers grounded in your actual campaign performance. But it goes beyond raw data. Because AdAdvisor knows your business context (your break-even ROAS, average order value, target CPL, budget, and more), the AI isn’t just pulling numbers. It can evaluate whether a 5x ROAS is good or bad for your business. It knows your goals, your margins, and your landing page. That context makes the difference between generic data retrieval and genuinely useful analysis.

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Why use this instead of the Meta API directly?

If you’ve ever tried to build your own Meta Ads integration, you know the pain:
  • Creating and configuring a Meta developer app
  • Managing OAuth tokens, refresh flows, and permissions
  • Dealing with rate limits and API versioning
  • Figuring out which fields to request and how to structure queries
AdAdvisor handles all of that for you. You connect your Meta account once through a simple OAuth flow, and we take care of authentication, token management, and data syncing behind the scenes. On top of that, the MCP tools are designed specifically for LLMs. The responses are structured and annotated so your AI assistant gets the most useful context possible, not just raw API dumps.

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How to get started

The full setup takes about 5 minutes.
1

Create your AdAdvisor account

Sign up at app.adadvisor.ai. You get a 7-day free trial with full access to all features, including the MCP server.
Even if you cancel after the trial, you keep access to the MCP server. It’s included at every plan level.
2

Set up your organization and business

During onboarding, you’ll create an organization (your team workspace) and a business. For the business, you’ll enter key metrics that help the AI understand your goals:
  • Average order value (AOV)
  • Break-even ROAS
  • Target cost per lead (CPL)
  • Monthly budget
  • Other profitability metrics relevant to your business
These aren’t sensitive financial details. They’re the benchmarks the AI uses to evaluate your ad performance in context.
3

Add your website or landing page

Enter your website URL and AdAdvisor will crawl it. This generates a business profile and insights that the MCP server exposes as a resource. When your AI assistant queries your data, it has context about what you sell, how you position it, and what your landing experience looks like.
4

Connect your Meta ad account

Link your Meta account through a secure OAuth flow. AdAdvisor will start syncing your campaign, ad set, and ad data automatically. No developer app, no API keys, no token management on your end.
5

Wait for the initial sync

The first sync pulls in your historical data. This usually takes a few minutes depending on account size. After that, data stays up to date automatically.
6

Connect the MCP server to your AI tool

Once your data is synced, set up the MCP server in your preferred AI client. We support Claude Code, Claude Desktop, ChatGPT, Cursor, VS Code, Gemini CLI, Codex, Windsurf, and any other MCP-compatible client.

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What the MCP server exposes

Once connected, your AI assistant can access:
  • Campaign performance data across campaigns, ad sets, and ads, with the metrics you care about
  • Business context including your break-even ROAS, AOV, budget, and other metrics you entered during setup
  • Business report and insights auto-generated from crawling your website Because the AI has both your performance data and your business context, it can do more than just report numbers. It can tell you which campaigns are underperforming relative to your targets, where you’re overspending, and what to change.

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What’s coming next

We’re actively expanding what the MCP server can do:
  • Actions on your ad accounts. Pause campaigns, adjust budgets, and implement changes directly through your AI assistant (with your approval before anything executes).
  • Deeper AdAdvisor integration. Trigger recommendation runs, review and apply AI suggestions, and manage your account, all from your AI tool.
  • More data sources. Additional advertising platforms and analytics integrations beyond Meta.

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Want to learn more about AdAdvisor?

The MCP server is one part of the platform. AdAdvisor also includes a full ads manager, AI-powered campaign recommendations, a campaign wizard for building new campaigns from scratch, and more.

What is AdAdvisor?

Learn about the full platform and everything it can do for your ad performance.

Set Up Your MCP Client

Ready to connect? Follow the setup guide for your specific AI tool.

Create API Keys

Generate keys if you prefer API key auth over OAuth.

What is the MCP Server?

Technical details on how authentication and data access work.
Last modified on February 28, 2026