.png){kind=logo}
Improvado gives your AI agent direct access to Amplitude data through an MCP server. Query funnels, retention curves, user paths, and feature adoption — in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Stop building custom charts for every stakeholder question. Ask your AI agent for funnel drop-off rates, cohort retention, event frequency, or feature adoption across any segment — the MCP server handles the Amplitude API calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read Amplitude data — it acts on it. Create behavioral cohorts, add annotations to mark deploys or experiments, and update user properties directly through conversation.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on retention, activation, and conversion metrics. Your AI agent monitors Amplitude continuously and flags anomalies before they become board-level problems.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read Amplitude data — it acts on it. Create behavioral cohorts, add annotations to mark deploys or experiments, and update user properties directly through conversation.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Every time a PM asks 'where are users dropping off?', it means opening Amplitude, building a funnel chart, filtering by segment, exporting to a spreadsheet, and formatting a slide. By the time the answer is ready, the meeting has started.
Improvado's MCP server lets your AI agent query Amplitude funnels directly. Ask in plain English, get a structured breakdown in under a minute — step-by-step drop-off rates by segment, platform, and cohort.
Building a retention analysis for different acquisition cohorts requires navigating Amplitude's chart builder, selecting the right events, choosing date ranges, and repeating for each cohort. Teams end up with ten separate charts and no easy way to compare them.
Ask your AI agent for a cross-cohort retention comparison in one question. The MCP server pulls retention data across cohorts, normalizes the date offsets, and returns a clean comparison without any chart-building.
Different squads instrument events with slightly different naming conventions. 'button_click', 'btn_clicked', 'click_button' all exist in the same taxonomy. Querying across product areas means knowing every variant, which lives in no single doc.
Improvado normalizes Amplitude event data into a consistent schema. The MCP server maps event variants automatically, so your AI agent can query across product areas without knowing every naming inconsistency.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Funnels, retention cohorts, user paths, event segmentation, DAU/WAU/MAU metrics, experiment results, user properties, and behavioral cohorts. Essentially everything you'd access through Amplitude's chart builder, but queryable in natural language through any MCP-compatible AI agent.
Yes. Write operations include creating behavioral cohorts, adding chart annotations, and updating user properties. Read and write permissions are scoped to your Amplitude API key. Start with read-only access if you want to be cautious before enabling writes.
Yes. If your organization has multiple Amplitude projects — for different products, regions, or environments — you can query across all of them through one MCP connection. Improvado handles the multi-project credential management.
Amplitude's native AI assistant works within the Amplitude UI. Improvado's MCP server brings Amplitude data into any AI tool you already use — Claude, ChatGPT, Cursor, or your own agent. It also lets you combine Amplitude data with other sources like Google Ads or CRM data in one query.
Yes, the Amplitude MCP integration can retrieve cohort definitions and query event data segmented by user properties or behavioral cohorts you have defined in Amplitude. You can ask an AI agent to compare retention rates between cohorts, identify which user segments drove a specific conversion event, or pull funnel metrics filtered to a cohort. This makes it possible to conduct deep behavioral analysis in a conversational interface without rebuilding segment logic manually.
Amplitude's built-in tools — Event Segmentation, Funnels, Retention — are powerful but require you to know which chart type to use and how to configure each parameter through the UI. The MCP integration lets you ask a plain-language question and have the agent determine the appropriate Amplitude API endpoints and parameters to answer it. This is especially useful for stakeholders who need quick answers from product data but are not familiar with Amplitude's query interface, as well as for analysts who want to iterate on questions faster.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
.png)
