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Improvado's MCP server connects Mixpanel to AI agents. Query funnels, retention cohorts, event trends, and experiment results — all in plain English. Works with Claude, ChatGPT, and any MCP-compatible tool.
Stop navigating the Mixpanel UI for every stakeholder question. Ask your AI agent for funnel rates, event frequency, cohort retention, or A/B test results — the MCP server queries the Mixpanel API and returns structured answers.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Define behavioral cohorts, add annotations to track deploys or experiments, and update user properties — without opening the Mixpanel UI. Your AI agent handles it through conversation.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Your AI agent watches Mixpanel for funnel conversion drops, event volume anomalies, and retention curve changes. Get notified before a product regression turns into a customer support surge.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Define behavioral cohorts, add annotations to track deploys or experiments, and update user properties — without opening the Mixpanel UI. Your AI agent handles it through conversation.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
The sales team asks for conversion rates by acquisition channel. The CEO asks for retention by pricing plan. Product wants funnel comparison by device. Each question requires building a new chart in Mixpanel, filtering it correctly, and exporting a screenshot. It consumes half the analytics team's day.
Improvado's MCP server lets your AI agent answer Mixpanel questions directly — no chart building required. Stakeholders ask in natural language through any AI tool, and the agent queries Mixpanel and returns structured answers in seconds.
An experiment has been running for two weeks. Analyzing it means exporting results from Mixpanel's experiment view, checking statistical significance, comparing the metric impact across multiple conversion events, and writing up a summary. It takes three hours and often doesn't happen until someone asks.
Ask your AI agent to analyze any running or completed Mixpanel experiment. The MCP server pulls results across all tracked metrics, calculates significance, and generates a plain-English summary with a clear recommendation.
Building a behavioral cohort — 'users who did A, then B, but not C, within 7 days' — requires navigating Mixpanel's cohort builder step by step, selecting the right events, setting time windows, and debugging when the count looks wrong. Power users manage it. Everyone else asks for help.
Describe the cohort you need in plain English to your AI agent. The MCP server translates it into the correct Mixpanel cohort definition, creates it, and confirms the resulting user count — no UI navigation required.
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.
Event segmentation data, funnel analysis, retention cohorts, user paths, A/B experiment results, behavioral cohort definitions, user profiles and properties, and project-level usage statistics. Essentially everything exposed through the Mixpanel Query API, accessible in natural language.
Yes. Write operations include creating and updating behavioral cohorts, adding data annotations, and updating user properties. All write operations require explicit confirmation before execution. You can configure the MCP connection as read-only if you prefer.
Yes. If your organization has separate Mixpanel projects for different products, environments, or regions, you can query across all of them through one MCP connection. Improvado handles multi-project credential management and lets you specify which project to query.
Mixpanel's native features work within the Mixpanel interface. Improvado's MCP server brings Mixpanel data into any AI tool you already use — Claude, ChatGPT, Cursor, or your own agent. It also lets you combine Mixpanel product data with marketing, advertising, or CRM data in a single query — something Mixpanel's UI doesn't support.
The Mixpanel MCP integration supports Mixpanel's standard REST APIs including the Query API for segmentation, funnel analysis, and retention metrics, as well as the raw export API for event-level data. For advanced use cases, the integration can also work with Mixpanel's Insights and Flows API endpoints. The AI agent translates natural-language questions into the appropriate API parameters, so you do not need to construct queries manually regardless of which API endpoint is used.
Mixpanel data returned through the MCP integration reflects Mixpanel's own data pipeline latency, which is typically within a few minutes for live event data but can vary depending on your ingestion method and Mixpanel plan tier. The MCP integration queries the Mixpanel API in real time at the moment of your request rather than serving a cached snapshot, so you always get the most up-to-date data that Mixpanel itself has processed. For real-time dashboards requiring sub-minute freshness, Mixpanel's native UI is more appropriate.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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