The newest surface · almost no incumbent expertise
Wire Amplitude into your AI stack
MCP, AI agents, session replay, experiments - Amplitude's AI surface is powerful and brand new, which means the setup patterns aren't written down yet. We work in both event data and AI tooling daily; this is the overlap.
What does AI enablement for Amplitude include?
- Readiness check. A focused pass over taxonomy and identity health - the AI can only be as right as the data underneath it.
- MCP configuration. Credential scoping, access boundaries, and connection setup for the assistants your team actually uses.
- Agent workflows. The recurring analyses worth delegating - weekly retention readouts, anomaly triage, experiment monitoring - built as repeatable agent tasks with human review points.
- Session replay wiring. Replay connected to the event taxonomy so any chart can answer “show me a user who did this.”
- Team patterns. A working session on the prompt and query patterns that produce defensible answers, and the ones that produce confident nonsense.
Interactive - hover the nodes. The identity-resolution node is what your AI assistant inherits - right or wrong.
Why now?
Because the teams wiring this up today are setting the defaults their organizations will live with for years - and because right now, this expertise is scarce. The same was true of tag management a decade ago; the teams that treated it as infrastructure rather than a checkbox spent the following years with data everyone else envied. Our implementation practice exists because most didn’t.
Frequently asked questions
What is the Amplitude MCP?+
MCP (Model Context Protocol) is the open standard that lets AI assistants like Claude query tools directly. Amplitude's MCP integration exposes your product analytics to AI assistants, so instead of screenshotting charts into a chat, your team asks questions in plain language and the assistant queries Amplitude itself. Setting it up well means deciding what the AI can see, which credentials it uses, and how results are governed.
Why does MCP setup need a consultant at all?+
Because the AI inherits every flaw in your taxonomy. An assistant querying an instance with duplicate events and broken identity gives fluent, confident, wrong answers - which is worse than no answer. Our enablement always starts with a taxonomy health check, then scopes credentials and access, then configures the integration and teaches the team the query patterns that work.
What about Amplitude's AI agents and session replay?+
They're part of the same enablement track. Amplitude's AI surface now spans its Global Agent (analysis and chart creation from natural language), scheduled specialized agents (dashboard and session-replay monitoring), and session replay - available across plans with volume limits by tier (see our pricing guide). We configure them, connect replay to your event taxonomy so replays are findable from any chart, and set the guardrails so AI-generated insights get reviewed like any other analysis.
Is this worth doing before the basics are solid?+
No - and we'll tell you so. AI enablement multiplies whatever data quality you have. If the audit shows a broken taxonomy, fix that first; the AI features then work impressively instead of impressively wrong.
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