Zingtree MCP Server
Analyze decision trees, workflows, and user session data via the Zingtree API.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Zingtree MCP Server?
The Zingtree MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Zingtree via 8 tools. Analyze decision trees, workflows, and user session data via the Zingtree API. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (8)
Tools for your AI Agents to operate Zingtree
Ask your AI agent "List all decision trees in my Zingtree account." and get the answer without opening a single dashboard. With 8 tools connected to real Zingtree data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Zingtree MCP Server capabilities
8 toolsGet a clean linear path for a user session
Get detailed data for a specific user session
Get all form data entered during a session
Get the full structure of a specific tree
List sessions for a tree within a date range
List all variables used in a tree
List all interactive trees in the organization
Search for text within all decision trees
What the Zingtree MCP Server unlocks
Connect your Zingtree account to any AI agent to streamline your interactive workflows and decision tree management. This MCP server enables your agent to interact with trees, nodes, and detailed user session data directly from natural language.
What you can do
- Tree Oversight — List all interactive trees in your organization and retrieve their hierarchical structures
- Content Search — Search for specific text, keywords, or labels across all your nodes and workflows
- Session Analysis — Access detailed path data, browser info, and interaction history for any user session
- Form Data Extraction — Retrieve all values and answers entered by users during their tree interactions
- Historical Tracking — List sessions for specific trees within any date range to monitor performance and usage
How it works
1. Subscribe to this server
2. Enter your Zingtree API Key
3. Start managing your decision trees and session data from Claude, Cursor, or any MCP client
Who is this for?
- Support Managers — Analyze customer interaction paths and common friction points via natural language
- Product Owners — Quickly query tree structures and variables without opening the designer
- Operations Teams — Automate the retrieval of form data and session reports for audit or analysis
Frequently asked questions about the Zingtree MCP Server
How do I find my Zingtree API Key?
Log in to Zingtree and go to Account > Organizations and Billing to find your unique API Key.
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.
Is it possible to retrieve answers entered in forms?
Absolutely. Use the get_session_form_data tool with a session ID to extract all field values submitted by the user.
More in this category
You might also like
Connect Zingtree with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Give your AI agents the power of Zingtree MCP Server
Production-grade Zingtree MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






