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Announcing AdRoll MCP: Why It Matters for Advertising and ABM
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AI assistants are now part of marketers’ daily workflows. Teams are drafting briefs in ChatGPT, analyzing ideas in Claude, and building workflows in AI-native tools.
However, there’s one catch: AI agents can’t securely access your live advertising data or take meaningful action inside your ad platforms. AdRoll’s Model Context Protocol (MCP) server closes this gap and enables you to connect AdRoll account data to your AI assistant of choice.
What Is Model Context Protocol (MCP)?
Model Context Protocol is an open standard that allows AI assistants to securely connect to external tools, APIs, and data sources. MCP allows an AI assistant to retrieve live account data directly from a platform once a secure connection is established.
Because MCP is an open standard, it works across any AI assistant that supports it. An MCP server can allow your AI assistant of choice to move beyond static responses and interact with live data and workflows in a controlled way.
What Is the AdRoll MCP Server?
The AdRoll MCP Server provides a secure connection that enables AI assistants such as ChatGPT and Claude to access your AdRoll account data.
Once connected through authorization, an AI assistant can:
Fetch real-time data from your AdRoll account
Perform actions on your behalf (with proper authorization)
Provide answers based on your actual campaign data
Help you manage campaigns through natural conversation
Who Is the AdRoll MCP Server For?
The AdRoll MCP server is intended for:
Developers building AI assistants or agentic workflows that integrate with AdRoll
Technical partners and agencies looking to automate reporting or insights
Internal teams enabling AI-powered experiences within AdRoll products
Advanced advertisers who want programmatic, AI-driven access to their data
It is not intended to replace the AdRoll UI or APIs, but to complement them with AI-native interaction patterns.
Why MCP Matters in Advertising and ABM
Advertising and ABM insights are often fragmented across dashboards, CRM systems, analytics tools, and creative environments. Manually pulling data from disparate sources and handing it off to AI agents to analyze those insights can be a pain, which is why we’re using MCP.
MCP has three major implications:
Connectivity without complexity: MCP standardizes how AI assistants connect to platforms, and, eventually, how agents from other platforms interact with one another.
Reduced context switching: Performance analysis, reporting, and campaign exploration can all happen in the same place where teams collaborate.
Future-ready interoperability: Because MCP is open, it supports a growing ecosystem of AI tools.
When paired with emerging agent-to-agent communication patterns (often referred to as A2A), systems can coordinate across tools. This opens the door to more agentic workflows in which AI assistants do more than just summarize data.
Real Use Cases: What MCP Enables Today
1. Performance and reporting analysis
Advertising teams frequently need quick answers:
Show performance for the last 30 days
Which campaigns had the biggest week-over-week change in conversions?
Summarize funnel performance trends
With MCP, the AI assistant retrieves live campaign data and returns structured insights instantly.
For marketers, this means faster access to clarity and more time spent on strategy rather than report assembly.
2. Optimization insights
AI agents can tell you how to improve your campaigns by combining existing data.
Through MCP, marketers can ask:
Which campaigns are underperforming relative to budget?
Identify audiences driving the strongest return
Where should I reallocate spend for better efficiency?
3. Account exploration for ABM
For ABM teams, especially those using solutions like AdRoll ABM, you can use MCP to ask about accounts and intent.
With MCP, sales and marketing teams can ask:
Which accounts have shown the highest intent activity recently?
Which accounts should SDRs prioritize right now?
Are there high-intent accounts we have not targeted with a campaign yet?
The Bigger Picture
The AdRoll MCP server makes connectivity possible without added complexity. Use it to interact with performance, attribution, and ABM data in your AI assistant of choice.
As AI assistants become central to our teams, MCP ensures AdRoll is part of that future. Jump into AdRoll and try the MCP today.
Last updated on March 9th, 2026.