How to Use the Evoliz Invoicing & Management MCP in OpenAI Agents SDK

Build production finance agents with the OpenAI Agents SDK that manage invoices and track client debt in real time.

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Connect Evoliz Invoicing & Management MCP to OpenAI Agents SDK

Create your Vinkius account to connect Evoliz Invoicing & Management 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 Invoicing & Management with OpenAI Agents SDK

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Enforce strict invoice tracking via MCP Server

The `list_unpaid_overdue_invoices` tool gives your OpenAI agent direct read access to late payments. You configure the agent with explicit guardrails, and it pulls the exact aging report straight from the API. When a client disputes a charge, the agent calls `get_invoice_detailed_data` to fetch the specific line items. This matters for production deployments. You do not want an agent guessing about corporate debt. By running this MCP Server, your finance agent hands off accurate, traced data to your communication agent. The OpenAI dashboard logs every single API call for your audit trail.

Map clients across agent handoffs

Your agent uses the `list_crm_clients` tool to pull the full directory of registered accounts. You build workflows where a specialized sales agent identifies a prospect, then hands the context over to a billing agent. The billing agent takes that ID and runs it. From there, it triggers `get_client_detailed_profile` to pull the financial summary. The OpenAI Agents SDK manages the handoff perfectly. The agent knows exactly how much revenue a specific account generates before it drafts a follow-up message.

Audit quotes and financial volume

The `quick_financial_volume_audit` tool lets your agent grab high-level summaries of all invoices and quotes. You get immediate visibility into cash flow. The agent executes the request and parses the totals without manual export processes. If the numbers look off, the agent digs into the pipeline using `list_sales_quotes`. It checks pending estimates against closed deals. Because you set `cacheToolsList=True` in the setup, the agent discovers these tools instantly upon initialization.

Setup guide

Set up Evoliz Invoicing & Management 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 Invoicing & Management tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Evoliz Invoicing & Management 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 Invoicing & Management 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 Invoicing & Management Agent",
            instructions="You have access to Evoliz Invoicing & Management 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 Invoicing & Management MCP in OpenAI Agents SDK

Install the SDK via pip. Create an instance of MCPServerStreamableHttp with your Vinkius endpoint URL. Pass it into your Agent constructor using the mcp_servers array.

Your agent can identify the targets. It uses the overdue invoices tool to find late accounts. You must build the actual email sending logic separately, as this server only reads the financial data.

Yes. The tools expose specific read operations. You define guardrails in Python to prevent the agent from querying client profiles outside of specific geographic regions or revenue bands.

Set cacheToolsList=True in your server parameters. The SDK will remember the available tools instead of querying the server on every single agent run.

This server processes sensitive invoice line items and client contact details. Vinkius isolates the execution in a V8 Sandbox. The environment spins up for the exact duration of the API call and vanishes immediately after.

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