Introducing Amplitude MCP: Unlock Behavioral Insights Everywhere You Work

AI systems today are powerful at picking up signals, spotting patterns, and acting on them. They can do this faster and at a greater scale than any human team can. Product, growth, and marketing teams are already using AI to ship features in days instead of weeks, generate and test new campaign ideas in real time, and iterate on A/B variants at unprecedented speed.

But here’s the catch: AI systems learn using the context you give them. Without the right inputs, even the most sophisticated AI is just making guesses using trained data. When it comes to building products and experiences that customers want, the most critical input is behavioral context—data about what your users do, how your experiments are performing, and which campaigns are driving real results.

That’s where Amplitude comes in. Our platform captures and organizes behavioral data across your entire product and customer journey. Agents can use that data to detect patterns, identify risks, and surface opportunities. Amplitude MCP (Model Context Protocol) makes behavioral context directly accessible within the AI tools and workflows your teams already use—transforming AI from a sophisticated brainstorming partner into an expert system based on user behavior data.

Introducing Amplitude MCP

Today, we're excited to announce public access to Amplitude MCP. For the first time, anyone on your team, such as product managers, marketers, founders, or engineers, can ask sophisticated questions about user behavior and get expert-level answers in seconds. There’s no writing SQL, configuring dashboards, or waiting on the data team.

It works exactly how you'd expect AI to work. Simply connect Amplitude to an MCP client—our MCP already has native connections to Claude, Cursor, and Github—and start a conversation about your users or your product:

• "How did our last experiment perform? What are the key findings and performance of each variant?"
• "Show me signup conversion rates by traffic source this month. What are some actionable recommendations to improve conversion?"
• "Analyze my event volume. Can you identify any spikes or drops in event volume that I should investigate?"

No dashboard expertise required. No data pipeline knowledge needed. Just natural conversation that gets you from question to insight in one flow.

What used to require a data analyst, tool expertise, and hours of work now happens in minutes right inside your AI workflow. MCP connects to analytics, experiments, session replays, and user journeys, giving anyone, regardless of technical background, a complete picture of customer behavior through natural-language conversation. This unfair advantage that used to be the domain of dedicated analytics teams is now available to everyone.

Behavioral context for every team

Every team has different questions about their data. Product teams need to understand why engagement is declining, growth teams need to evaluate their A/B test results, data teams need to monitor for quality checks. Amplitude MCP means each team can answer their own questions using the AI tools that are already in their workflow.

For product and marketing teams

Product and marketing teams can use Amplitude MCP to explore new ideas even faster through their AI tools. Claude can analyze their product’s health by accessing Amplitude dashboards to get detailed assessments across the entire customer lifecycle. These AI systems instantly access behavioral data to identify acquisition campaigns that translate to engaged users, spot engagement patterns that predict churn risk, and determine which segments drive the strongest retention. Those actionable insights bridge marketing acquisition and product optimization within a single conversation.

For growth teams

Growth teams can design, run, and evaluate A/B tests directly through AI-native tools. Amplitude MCP delivers comprehensive experiment analysis through natural-language conversation, instantly accessing experimentation data to identify winning variants, evaluate metric lift, spot unexpected segment behaviors, and provide statistical context. Your AI tools now have the behavioral context needed to recommend whether to ship, iterate, or stop experiments—complete with charts and experiment links.

For data teams

Data teams can use Amplitude MCP to monitor data quality and improve taxonomy governance. Investigate taxonomy for spikes or drops indicating broken implementations, organize events into logical categories for governance review, and flag volume anomalies that could impact downstream reporting. Data teams can deliver structured reports with categorized events, anomaly detection, and descriptions that maintain instrumentation quality to catch data integrity problems before they affect business-critical dashboards.

Build new context-powered workflows

Amplitude MCP enables entirely new workflows by combining Amplitude’s valuable behavioral data with external sources. You can now build powerful AI workflows that pull together insights, automatically generate reports, and take action based on comprehensive analysis.

For example, instead of switching between Amplitude for feature performance analysis, Jira for development tracking, and Confluence for documentation, AI-powered workflows can automatically connect information from all three systems. By combining Amplitude and Atlassian MCP tools, you can pull user behavior data to determine which features drive engagement, track development progress and blockers from Jira, and automatically generate Confluence documentation with data-driven insights about feature impact. Product teams can prioritize and make decisions while maintaining documentation that reflects both technical progress and user behavior.

The power of MCP isn't just in accessing Amplitude. It's in making behavioral context a foundational layer for any AI workflow.

Unlocking behavioral context for any AI system, agent, or workflow

AI can sense, detect, and act faster than humans ever could. But without behavioral context, it’s adrift.

Our vision is to make behavioral context the foundation for AI, and to make it accessible everywhere. Our platform captures the richest dataset on customer behavior (Sense). Our analytics, experiments, and session replays reveal the signals that matter—growth levers, churn risks, engagement drivers (Detect). MCP unlocks access to those insights inside any AI tool, empowering teams to move faster, eliminate guesswork, and build experiences customers adopt and love (Act).

Amplitude MCP is the first step toward making every AI interaction informed by behavioral context—a future where your insights are universally accessible across any AI system, agent, or workflow.