Ezus MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Ezus 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="Ezus Assistant",
instructions=(
"You help users interact with Ezus. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Ezus"
)
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 Ezus MCP Server
Connect your Ezus travel management account to any AI agent and take full control of your agency's workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Ezus through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Ezus, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Project Management — List, fetch, and upsert travel projects directly from the Ezus cloud
- Client & Supplier CRM — Query client details and manage your network of suppliers with ease
- Product Catalog — Access and inspect your travel products and packages stored in the Ezus catalog
- Financial Overview — List and inspect invoices to keep track of your agency's billing and financial status
- User Profiling — Retrieve the underlying credentials and profile information of your agent's API user
The Ezus MCP Server exposes 12 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 Ezus to OpenAI Agents SDK via MCP
Follow these steps to integrate the Ezus 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 12 tools from Ezus
Why Use OpenAI Agents SDK with the Ezus MCP Server
OpenAI Agents SDK provides unique advantages when paired with Ezus 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
Ezus + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Ezus MCP Server delivers measurable value.
Automated workflows: build agents that query Ezus, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Ezus, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Ezus tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Ezus to resolve tickets, look up records, and update statuses without human intervention
Ezus MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Ezus to OpenAI Agents SDK via MCP:
get_client
Get a specific Ezus client by ID
get_invoice
Get a specific Ezus invoice by ID
get_me
Get current Ezus user profile
get_product
Get a specific Ezus product by ID
get_project
Get a specific Ezus project by ID
get_supplier
Get a specific Ezus supplier by ID
list_clients
List all Ezus clients
list_invoices
List all Ezus invoices
list_products
List all Ezus products
list_projects
List all Ezus projects
list_suppliers
List all Ezus suppliers
upsert_project
Create or update an Ezus project
Example Prompts for Ezus in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Ezus immediately.
"List my recent travel projects on Ezus."
"Show me the details for client ID 12345."
"Get all products available in the catalog."
Troubleshooting Ezus MCP Server with OpenAI Agents SDK
Common issues when connecting Ezus to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Ezus + OpenAI Agents SDK FAQ
Common questions about integrating Ezus 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 Ezus 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 Ezus to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
