This is a major step forward in how teams access and act on behavioral insights. For the first time, anyone on your team—whether you’re a product manager, marketer, founder, or engineer—can ask complex questions about user behavior and get expert-level answers in seconds.

No SQL, dashboards or waiting on the data team.

Here’s what that looks like in practice:

“How did our last experiment perform? What are the key findings for each variant?”
“Show me signup conversion rates by traffic source this month. What are some actionable recommendations to improve?”
“Analyze my event volume. Can you identify any spikes or drops I should look into?”

You don’t need dashboard training or pipeline expertise. Instead, you ask questions in natural language—and get to insight in one smooth flow.

What used to take a data analyst, multiple tools, and hours of work now happens in minutes, directly inside your AI workflow. That’s because MCP connects to everything: analytics, experiments, session replays, and user journeys. So now, everyone—regardless of their technical background—can access a complete picture of user behavior.

Behavioral Context for Every Team

No matter your role—product, growth, marketing, or data—behavioral context is key. With Amplitude MCP, every team can ask their own questions through the AI tools they already use and get answers grounded in real user behavior.

For product & marketing teams:

MCP helps you explore ideas faster. Agents like Claude or Cursor can access Amplitude dashboards to assess product health, spot engagement patterns that predict churn, or pinpoint which campaigns are bringing in high-value users. That means you can bridge acquisition and optimization in one seamless conversation.

For growth teams:

MCP simplifies experimentation. You can design, run, and evaluate A/B tests directly through AI. Get clear answers on winning variants, metric lifts, and segment behavior. Plus, MCP provides the statistical context to help you decide whether to ship, iterate, or stop—complete with charts and experiment links.

For data teams:

MCP improves data quality and governance. Investigate spikes or drops that signal broken implementations, organize events by taxonomy, and flag anomalies before they affect downstream reporting. As a result, you get structured reports that help maintain instrumentation integrity across the board.

Build New, Context-Powered Workflows

Amplitude MCP doesn’t just make data more accessible—it changes how teams work. By combining Amplitude’s behavioral dataset with external tools, you can build powerful, AI-driven workflows that connect insights, automate reporting, and trigger actions.

For example, instead of jumping between Amplitude for feature analytics, Jira for development tracking, and Confluence for documentation, imagine a workflow where:

AI pulls user behavior data from Amplitude to identify which features drive engagement.
It checks Jira to track progress and blockers.
It auto-generates Confluence pages with up-to-date insights on feature performance.

So your team can prioritize, decide, and document—all in one flow. MCP turns context into action, making it the foundational layer for every AI-powered decision.

Unlock Behavioral Context in Any AI Workflow

AI can detect patterns and move fast. But without context, it’s guessing.

The goal is simple: make behavioral context foundational to how AI works—and make it accessible everywhere.

Sense: Amplitude captures the richest dataset on customer behavior.
Detect: Their analytics, experiments, and replays reveal signals that matter—growth levers, churn risks, engagement drivers.
Act: MCP delivers these insights to any AI tool, so your team can eliminate guesswork and build better experiences, faster.

Amplitude MCP is just the beginning. It’s the first step toward a world where every AI interaction is informed by what your users actually do—not just what you think they do.

Let’s Take the Next Step

If you’re ready to turn insight into action—faster, smarter, and more human—Amplitude MCP is your bridge.

At Minders, we believe growth is not a hack. It’s a process of understanding, experimentation, and connection. Behavioral context is the piece that ties it all together.

Let’s talk about how to bring this to your team.