Zenedu MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zenedu through the 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="Zenedu Assistant",
instructions=(
"You help users interact with Zenedu. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Zenedu"
)
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 Zenedu MCP Server
Connect your Zenedu account to any AI agent to automate your messenger marketing and sales funnels. This MCP server enables your agent to interact with bots, products, offers, and subscriber data directly.
The OpenAI Agents SDK auto-discovers all 6 tools from Zenedu through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Zenedu, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Bot Oversight — List all your messenger bots and their associated metadata
- Funnel Tracking — List and monitor sales funnels and automation flows for specific bots
- Commerce Management — Access product catalogs and marketing offers synchronized with your bots
- Order Visibility — Retrieve recent customer orders and transaction statuses
- Audience Insight — List and query subscribers to track growth and engagement
The Zenedu MCP Server exposes 6 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 Zenedu to OpenAI Agents SDK via MCP
Follow these steps to integrate the Zenedu 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 6 tools from Zenedu
Why Use OpenAI Agents SDK with the Zenedu MCP Server
OpenAI Agents SDK provides unique advantages when paired with Zenedu 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
Zenedu + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Zenedu MCP Server delivers measurable value.
Automated workflows: build agents that query Zenedu, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Zenedu, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Zenedu tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Zenedu to resolve tickets, look up records, and update statuses without human intervention
Zenedu MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Zenedu to OpenAI Agents SDK via MCP:
list_bot_funnels
List all funnels for a specific bot
list_bot_offers
List all offers for a specific bot
list_bot_orders
List all orders for a specific bot
list_bot_products
List all products for a specific bot
list_bot_subscribers
List all subscribers for a specific bot
list_bots
List all messenger bots
Example Prompts for Zenedu in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zenedu immediately.
"List all messenger bots in my Zenedu account."
"Show me the funnels for bot ID '12345'."
"List recent orders for my 'Main Funnel' bot."
Troubleshooting Zenedu MCP Server with OpenAI Agents SDK
Common issues when connecting Zenedu to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Zenedu + OpenAI Agents SDK FAQ
Common questions about integrating Zenedu 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 Zenedu 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 Zenedu to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.