Compatible with every major AI agent and IDE
Active users on Amplitude
Start/End as YYYYMMDD. Get Amplitude daily/weekly/monthly active users (DAU/WAU/MAU)
Event segmentation on Amplitude
Pass event name, start/end as YYYYMMDD. Query Amplitude event segmentation
Export events on Amplitude
Amplitude is a product analytics platform. Pass start/end as YYYYMMDDTHH (e.g. 2026010100). Export raw Amplitude event data for a time range
Get cohort on Amplitude
Depending on the backend this may require polling until ready. Request an Amplitude cohort download
Get funnel on Amplitude
Pass comma-separated event names, start/end as YYYYMMDD. Query Amplitude funnel conversion
Get retention on Amplitude
Pass start_event (acquisition), return_event, start/end dates. Start/End should be YYYYMMDD. Query Amplitude retention
Get user activity on Amplitude
Useful for diagnosing individual user journeys. Get Amplitude user activity stream
List cohorts on Amplitude
Cohorts group users by behavior. List Amplitude behavioral cohorts
Revenue analysis on Amplitude
Start/End as YYYYMMDD. Get Amplitude revenue analysis by day
Search users on Amplitude
Useful to find specific users before checking their activity. Search Amplitude users by user ID, device ID, or email
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the cohort fetching work for custom targeted segments?
Your agent can list all available cohorts associated with your project. Once you find the target cohort's ID, you can use the get_cohort tool to request its download URL. This is incredibly useful for instantly moving targeted lists of power-users or churned-users into your other workflows.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Amplitude Capabilities for AI Assistants
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
AI-Driven user behavior Workflows
The Amplitude toolkit enables AI agents to execute user behavior commands. It handles protocol translation for growth engine integrations natively.
Scaling product analytics via MCP
Integrate the Amplitude server to handle product analytics requests natively. It provides the schemas required for ChatGPT and Cursor to manage growth engine data.
Amplitude. 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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