Zingtree MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zingtree through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Zingtree Assistant",
instructions=(
"You help users interact with Zingtree. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Zingtree"
)
print(result.final_output)
asyncio.run(main())
* 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
About Zingtree MCP Server
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.
The OpenAI Agents SDK auto-discovers all 8 tools from Zingtree through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zingtree, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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
The Zingtree MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Zingtree to OpenAI Agents SDK via MCP
Follow these steps to integrate the Zingtree MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Zingtree
Why Use OpenAI Agents SDK with the Zingtree MCP Server
OpenAI Agents SDK provides unique advantages when paired with Zingtree through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Zingtree + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Zingtree MCP Server delivers measurable value.
Automated workflows: build agents that query Zingtree, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Zingtree, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Zingtree tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Zingtree to resolve tickets, look up records, and update statuses without human intervention
Zingtree MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Zingtree to OpenAI Agents SDK via MCP:
get_clean_session_path
Get a clean linear path for a user session
get_session_details
Get detailed data for a specific user session
get_session_form_data
Get all form data entered during a session
get_tree_structure
Get the full structure of a specific tree
list_tree_sessions
List sessions for a tree within a date range
list_tree_variables
List all variables used in a tree
list_trees
List all interactive trees in the organization
search_all_trees
Search for text within all decision trees
Example Prompts for Zingtree in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zingtree immediately.
"List all decision trees in my Zingtree account."
"Show me the structure for tree ID '12345'."
"Get the form data for session ID 'XYZ-987-ABC'."
Troubleshooting Zingtree MCP Server with OpenAI Agents SDK
Common issues when connecting Zingtree to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Zingtree + OpenAI Agents SDK FAQ
Common questions about integrating Zingtree MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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.
Connect Zingtree to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.