What is MCP (Model Context Protocol)?
Model Context Protocol (MCP) is an open standard created by Anthropic that lets AI assistants connect directly to external tools and data sources through a universal interface.
How It Works
MCP works like a universal adapter between AI tools and the services they need to access. Before MCP, every integration between an AI assistant and an external platform required custom-built code. MCP standardizes this connection, so any MCP-compatible AI client can connect to any MCP server.
An MCP server exposes "tools" — structured functions that an AI can call to read data, run analyses, or take actions. For example, an advertising MCP server might expose tools for querying campaign performance, analyzing creative fatigue, or pulling keyword reports. The AI client (like Claude Desktop or ChatGPT) discovers these tools automatically and can use them during conversations.
The protocol supports multiple transport methods including Server-Sent Events (SSE) and streamable HTTP, making it compatible with both local and cloud-hosted servers. Authentication is handled through standard mechanisms like API keys or OAuth tokens.
Why It Matters for Advertisers
For advertisers, MCP eliminates the gap between your data and your AI assistant. Instead of exporting CSVs from Meta Ads Manager, copying data into ChatGPT, and hoping the AI interprets your spreadsheet correctly, MCP lets the AI pull live data directly from your ad accounts.
This means faster analysis (seconds instead of hours), fewer errors (no manual copy-paste), and deeper insights (the AI can cross-reference data from multiple platforms in a single conversation). It also means your AI assistant stays up to date — no more working with stale exports from last Tuesday.
How Ad Superpowers Helps
Ad Superpowers runs a cloud-hosted MCP server at mcp.adsuperpowers.ai that connects to six major ad platforms: Meta Ads, Google Ads, GA4, Google Search Console, LinkedIn Ads, and TikTok Ads. We expose 25 specialized tools that cover everything from basic performance queries to creative fatigue detection and cross-platform attribution analysis.
You connect once — through Claude Desktop, ChatGPT, Cursor, or any MCP-compatible client — and gain instant access to all your advertising data through natural language. No coding required, no exports, no dashboards.
Related Terms
Google Ads Query Language (GAQL)
Google Ads Query Language (GAQL) is a SQL-like query language used to request data from the Google Ads API. It lets you select specific fields, apply filters, and order results from any Google Ads resource.
Conversion API (CAPI)
A Conversion API (CAPI) is a server-side tracking method that sends conversion events directly from your server to an ad platform's servers, bypassing browser-based tracking limitations like cookie blocking and ad blockers.
Attribution Window
An attribution window (also called a lookback window or conversion window) is the time period after a user interacts with an ad during which a subsequent conversion can be attributed to that ad.
Learn More
See It in Action
Connect your ad accounts and let AI handle the analysis. Free to start — no credit card required.