Compatible with every major AI agent and IDE
Get clean session path on Zingtree
Get a clean linear path for a user session
Get session details on Zingtree
Get detailed data for a specific user session
Get session form data on Zingtree
Get all form data entered during a session
Get tree structure on Zingtree
Get the full structure of a specific tree
List tree sessions on Zingtree
List sessions for a tree within a date range
List tree variables on Zingtree
List all variables used in a tree
List trees on Zingtree
List all interactive trees in the organization
Search all trees on Zingtree
Search for text within all decision trees
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I see the path a specific user took in a tree?
Yes, the get_session_details or get_clean_session_path tools provide the exact sequence of nodes visited by a user during their session.
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.
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.
Supported Use Cases for Zingtree
The Zingtree integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Streamlining decision trees
The Zingtree server supports direct MCP connections for decision trees. This provides Claude with the required permissions to execute productivity functions.
AI-Driven workflow automation Workflows
The Zingtree server supports direct MCP connections for workflow automation. This provides Claude with the required permissions to execute productivity functions.
Zingtree. 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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