Compatible with every major AI agent and IDE
Export events on Mixpanel (Event Analytics & Insights)
Note: This API is rate-limited to 60 requests per hour. Export raw event data logs
List cohorts on Mixpanel (Event Analytics & Insights)
List saved behavioral cohorts
List funnels on Mixpanel (Event Analytics & Insights)
List all saved funnel configurations
Query events on Mixpanel (Event Analytics & Insights)
Query aggregate Mixpanel event counts over time
Query funnel on Mixpanel (Event Analytics & Insights)
Get conversion data for a specific funnel
Query insights on Mixpanel (Event Analytics & Insights)
Query complex dashboard insights
Query profiles on Mixpanel (Event Analytics & Insights)
g., properties["plan"]=="pro"). Search for specific user profiles
Query retention on Mixpanel (Event Analytics & Insights)
Calculate user retention curves
Query segmentation on Mixpanel (Event Analytics & Insights)
g., device or region). Break down an event by specific properties
Query top events on Mixpanel (Event Analytics & Insights)
Get the top 20 events by volume
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Can I query my conversion funnels through my agent?
Yes. Use the query_funnel tool with a specific Funnel ID and date range. Your agent will retrieve the step-by-step conversion percentages and drop-off counts, allowing you to identify exactly where users are leaving your flow.
How Chatbots Interact with Mixpanel (Event Analytics & Insights)
The Mixpanel (Event Analytics & Insights) integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Autonomous product analytics Strategies
Connect Mixpanel (Event Analytics & Insights) to your AI agents (Claude, ChatGPT, Cursor) to manage product analytics operations. The MCP server processes the underlying API requests and schema formatting for the growth engine domain.
Scaling user behavior via MCP
Use the Mixpanel (Event Analytics & Insights) MCP to manage user behavior requests. Models like Claude Code utilize this connection to perform reliable growth engine updates.
Mixpanel (Event Analytics & Insights). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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