Introducing AppsFlyer MCP: Marketing Intelligence for the AI Era

Introduction

Imagine turning any marketing question into a decision instantly. Without using dashboards, no waiting on data teams, and no technical roadblocks. That’s exactly what AppsFlyer’s Model Context Protocol (MCP) delivers. Starting today, marketers can leverage AI agents that access real-time insights across their entire stack, and accessible through their preferred Large Language Model (LLM).

AppsFlyer MCP is not just a new feature – it’s a paradigm shift in how marketers interact with data. As part of AppsFlyer’s broader vision to superpower marketing teams with AI, MCP helps transform everyday work into AI-powered workflows. By unifying clean, trustworthy data with conversational access and intelligent orchestration, MCP enables both humans and AI agents to act on insights in real time. 

Ready to change how your team works? Let’s dive in.

A Smarter Way to Work: What Is MCP?

AppsFlyer’s Model Context Protocol (MCP) is a powerful new way to access and act on your marketing data directly through natural language. Whether you’re exploring campaign performance, managing audiences, or troubleshooting deep links, MCP connects your AppsFlyer data to your preferred LLM interface.

What makes MCP special is its ability to connect to AI agents that can query the database based on your preferences – or empower anyone, regardless of technical background, to get the exact data they need, instantly. In both cases there’s no waiting, no dependencies. Whether you’re asking questions or enabling AI agents to take action, MCP delivers clarity and execution – instantly.

How It Works: Built on AppsFlyer’s API Foundation

MCP acts as a bridge between your preferred LLM – like Claude, ChatGPT, Gemini, and more – and AppsFlyer’s comprehensive suite of APIs, including attribution, analytics, audiences, OneLink, and more. When you enter a prompt, MCP converts that natural language input into structured API calls, fetches the relevant data, and returns it alongside contextual metadata for interpretation – whether by a human or any AI agent built on top of it.

“What makes MCP truly powerful isn’t just the interface – it’s the data behind it. At AppsFlyer, we provide one of the richest, most accurate, fraud-protected, and privacy-centric datasets in the industry, trusted by over 7,000 leading brands. By sitting on top of this foundation, MCP enables marketers to instantly unlock insights and turn data into real-time, high-impact decisions.”

Barak Witkowski, CPO of AppsFlyer

Because MCP operates through an open protocol, our customers can also build AI agents or custom workflows directly on top of it. Whether you’re training a media mix optimization agent, building an autonomous audience manager, or embedding MCP into internal tools, the framework provides the flexibility and scalability needed to power intelligent orchestration at any level, with minimal setup.

Why MCP Matters: Turning AI Into a Marketing Co-Pilot

1. Instant Insights, No Engineering Required
Need a breakdown of ROAS by channel? Want to know which campaigns are driving the highest LTV? Just ask. MCP can be connected to your AI agents, or translates your natural-language prompt into an API query, retrieves the data, and returns it in a contextualized format, right in your chat window.

2. Unlock AI at Scale
MCP supports both human-triggered and autonomous agent queries, making it ideal for scalable workflows. Whether you’re part of a growth, CRM, product, or martech team, anyone can tap into rich insights with zero setup, no engineering lift required.

3. Privacy and Precision, Built-In
Powered by AppsFlyer’s industry-leading attribution infrastructure, MCP ensures every query is grounded in high-quality, privacy-compliant data- encrypted, secure, and compliant by design.

Key Use Cases at Launch

• Marketing Performance Analytics: Access real-time performance data to analyze campaign results, track spend trends, and compare ROIs – whether through a direct chat prompt or by deploying autonomous agents that monitor performance, surface optimization opportunities, and even autonomously execute actions.

• Audience Management: Gain full visibility into how audiences are defined, segmented, and activated across your organization. Use AI chat to query audience structures or dig into performance trends in real time – or build intelligent agents that detect overlaps, recommend optimizations, and sync updates across channels – with the ability to act automatically when permissions allow.

• Link Governance: Audit OneLink templates and link behavior with conversational ease or leverage agents to continuously monitor link hygiene, flag inconsistencies, and ensure every campaign follows best practices – automatically.

• App Configuration & Help Center Assistance: Quickly retrieve app setup details or implementation guidance on demand – or empower agents to detect misconfigurations, suggest fixes, or surface documentation contextually when issues arise.

Built for Marketers, Loved by Teams

MCP is designed to solve real pain points across performance, retention, CRM, and martech teams:

• Cut decision-making cycles from days to seconds
• Free up analysts and BI engineers by enabling self-serve data access
• Reduce tool-jumping with one unified, intelligent interface

“It’s like having a custom analyst on demand for every team member executed in just a few minutes.”

Elay De Beer, CEO of Buff.game

Conclusion

AppsFlyer MCP marks a pivotal milestone in our broader vision of AI-driven marketing, a vision anchored in empowering marketers with the perfect synergy of human creativity and machine intelligence.

As Barak Witkowski, our Chief Product Officer, outlines in Inside AppsFlyer’s AI Strategy, our approach to AI centers on three key pillars: clean, AI-ready data; assistive tools that act as strategic partners; and autonomous agents that execute at scale. MCP brings these pillars to life by allowing both humans and AI agents to access AppsFlyer data in real time through natural language interfaces.

But this is just the beginning.

At launch, MCP supports high-impact workflows like campaign analysis, audience visibility, and deep link management. Soon, it will power a growing set of capabilities, enabling everything from predictive insights to agent-driven automations. As we continue to evolve MCP, our goal is to support every strategic and operational marketing need, with intelligence built into every interaction.

To explore more:

• Check out the AppsFlyer MCP webpage
• Visit the Knowledge Base for setup and use cases

Ready to experience the future of marketing intelligence?
👉 Join the MCP Beta if you’re an AppsFlyer customer, or Schedule a Demo if you’re new to AppsFlyer.