How to Use the Invoiced MCP in OpenAI Agents SDK

Q: How do I connect Invoiced to my OpenAI Agents SDK pipeline?

Install the package using pip install openai-agents and initialize the connection. You pass the server URL to MCPServerStreamableHttp inside an async context manager, then append it to your Agent constructor.

Q: How does OpenAI Agents SDK handle Invoiced rate limits?

You should set cacheToolsList=True in your SDK configuration to avoid redundant schema lookups. This reduces API overhead when your agents frequently call tools like listcustomers or listplans.

Run autonomous billing agents with OpenAI Agents SDK that safely audit Invoiced accounts receivable using native guardrails.

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Connect Invoiced MCP to OpenAI Agents SDK

Create your Vinkius account to connect Invoiced 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 Invoiced with OpenAI Agents SDK

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Guarded billing audits via OpenAI Agents SDK

This MCP Server exposes `list_invoices` to pull invoice records directly into your specialized OpenAI agent system. The SDK applies runtime checks to ensure the agent only reads raw billing amounts without altering records. When a discrepancy appears, the agent fires `get_invoice` to drill into specific line items. This setup prevents your agent from acting on outdated balances during complex auditing runs.

Multi-agent subscription tracking

`list_subscriptions` exposes active customer commitments to your primary routing agent. If a subscription shows an active flag, the agent hands off the task to a specialized billing agent. That secondary agent runs `list_plans` to match the customer against current pricing tiers. The OpenAI dashboard traces this entire handoff, keeping your subscription audits transparent.

Automated payment reconciliation

`list_payments` feeds transaction IDs and payment methods directly into your analysis agent. This MCP Server integration lets you trace cash flow trends without manual database exports. The agent uses `list_customers` to map payments to specific accounts. If a payment looks off, the agent triggers `get_customer` to grab billing settings and balance history.

Setup guide

Set up Invoiced 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 Invoiced tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Invoiced 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="Invoiced Agent",
            instructions="You have access to Invoiced tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Invoiced. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Invoiced MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` and initialize the connection. You pass the server URL to `MCPServerStreamableHttp` inside an async context manager, then append it to your `Agent` constructor.

Yes, you configure guardrails within the SDK to restrict tool execution. While the MCP Server exposes tools like `list_payments` and `get_invoice`, your agent definition controls which tools are active.

You should set `cacheToolsList=True` in your SDK configuration to avoid redundant schema lookups. This reduces API overhead when your agents frequently call tools like `list_customers` or `list_plans`.

Absolutely, the SDK natively handles async calls when streaming tools. Your agents can run `list_subscriptions` and `list_tax_rates` concurrently to build fast billing reports.

Yes, your billing records, customer balances, and tax rates remain inside Vinkius's isolated V8 sandboxes. The connection uses single-token authentication, meaning your raw Invoiced API key is never exposed to the LLM.

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