How to Use the BILL Spend & Expense MCP in OpenAI Agents SDK

Connect your OpenAI Agents SDK to BILL Spend & Expense to track corporate cash flow and card activity in your production environment.

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Connect BILL Spend & Expense MCP to OpenAI Agents SDK

Create your Vinkius account to connect BILL Spend & Expense 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 BILL Spend & Expense with OpenAI Agents SDK

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Track corporate budgets and card activity

Your agent uses `list_budgets` and `list_cards` to pull real-time financial data directly into your Python pipeline. It identifies budget overages before they hit your books. This MCP Server provides the raw data your agent needs to audit spending. You get immediate visibility into active cards without switching tabs.

Automate reimbursement and transaction audits

Call `list_reimbursements` and `list_transactions` to feed your agent the latest expense reports and ledger entries. Your code processes these lists against your internal business logic. Everything stays within your agent's execution context. You avoid manual data entry by letting the SDK fetch ledger details automatically.

Manage company user access via OpenAI Agents SDK

The `list_users` tool lets your agent cross-reference employee identities with their specific spend activity. It maps out who is spending what in your organization. This makes it easy to enforce compliance. Your agent checks user permissions against recent transactions to flag unauthorized activity.

Setup guide

Set up BILL Spend & Expense 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 BILL Spend & Expense tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate BILL Spend & Expense 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="BILL Spend & Expense Agent",
            instructions="You have access to BILL Spend & Expense 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 BILL Spend & Expense MCP in OpenAI Agents SDK

You initialize the MCPServerStreamableHttp class with your endpoint and pass it to the agent constructor. This connects the server directly to your code base.

Yes, by calling the transaction tools, your agent inspects recent ledger entries. It then applies your custom logic to spot deviations or missed reports.

Your financial data stays local to your agent's execution environment. We handle the transport security and the server transmits only the specific transaction and user records you request.

It runs as a managed service that responds to your agent's requests on demand. You don't need to maintain a local server process.

You provide an endpoint token to the managed server. Your actual login credentials never touch your agent code or the client environment.

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OpenAI Agents SDK sdk-python

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