How to Use the Evoliz MCP in OpenAI Agents SDK

Q: How do I connect Evoliz to the OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance with your endpoint URL and pass it to the Agent constructor. The SDK auto-discovers the tools.

Q: Can my agent create new customers in Evoliz?

Yes. The server exposes a createclient tool for this exact purpose. Your agent just needs to provide the required name and client type parameters.

Q: Does the OpenAI Agents SDK support caching for the Evoliz MCP Server?

It does. You set cacheToolsList=True when configuring the server. This stops the agent from refetching the tool schemas on every single run.

Connect the Evoliz MCP Server to the OpenAI Agents SDK to automate French tax compliance and invoicing directly from your production Python code.

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Connect Evoliz MCP to OpenAI Agents SDK

Create your Vinkius account to connect Evoliz to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Evoliz with OpenAI Agents SDK

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Automate French Invoicing Workflows

The `create_client` tool lets your OpenAI agent generate new customer profiles with strict professional or individual typing. You pass the required name and type parameters, and the agent handles the API transaction. Once a client exists, you pull their billing history using `list_invoices` and `list_quotes`. The SDK's built-in guardrails validate these actions before execution, ensuring your agent never sends malformed data to the Evoliz MCP Server.

OpenAI Agents SDK Integration

The `get_invoice` and `get_quote` tools pull specific financial documents right into your agent's context window. You give the agent an ID, and it retrieves the exact billing record needed for customer support or accounting handoffs. Your production setup stays clean because tools are auto-discovered. You just pass the server to the Agent constructor, set `cacheToolsList=True` for better performance, and watch the execution traces in your OpenAI dashboard.

Batch Process Accounting Data

The `list_articles` and `list_clients` tools let your agents paginate through product catalogs and customer directories. This allows your Python application to sync large datasets without writing custom pagination logic. When your specialized billing agent needs details on a specific product, it calls `get_article`. The handoff between a support agent finding the client and the billing agent fetching the article happens automatically within the SDK framework.

Setup guide

Set up Evoliz MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Evoliz tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Evoliz tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Evoliz tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Evoliz Agent",
            instructions="You have access to Evoliz tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Evoliz MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance with your endpoint URL and pass it to the Agent constructor. The SDK auto-discovers the tools.

Yes. The server exposes a `create_client` tool for this exact purpose. Your agent just needs to provide the required name and client type parameters.

It does. You set `cacheToolsList=True` when configuring the server. This stops the agent from refetching the tool schemas on every single run.

Every tool execution logs directly to your OpenAI dashboard. You see exactly when the agent calls endpoints like `list_invoices` or `get_quote`.

Vinkius runs the server inside a zero-trust V8 Isolate Sandbox. Your quotes, invoices, and client profiles pass through an ephemeral environment that destroys itself after the request finishes.

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