Compatible with every major AI agent and IDE
Get pendo account on Pendo
Get details for a specific account
Get pendo guide on Pendo
Get details for a specific guide
Get pendo guide metrics on Pendo
Get performance metrics for a guide
Get pendo visitor on Pendo
Get details for a specific visitor
List pendo applications on Pendo
List applications tracked in the Pendo subscription
List pendo features on Pendo
List tagged features
List pendo guides on Pendo
) defined in Pendo. List Pendo guides
List pendo metadata schema on Pendo
List metadata schema definitions
List pendo pages on Pendo
List tagged pages
List pendo segments on Pendo
List saved user segments
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.
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.
How do I find my Pendo Integration Key?
In Pendo, navigate to Settings > Integrations. There you can find or generate your Integration Key for API access.
Supported Use Cases for Pendo
The Pendo integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Streamlining product adoption
The Pendo MCP translates LLM intent into specific product adoption actions. Agents like Cursor use this to interface securely with your growth engine infrastructure.
Autonomous user engagement Strategies
The Pendo toolkit provides secure access to user engagement functions. It enables conversational agents to manage growth engine settings deterministically.
Pendo. 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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