How to Use the Billit MCP in OpenAI Agents SDK

Q: Can Billit handle invoice creation in an OpenAI Agents SDK agent?

Yes, just call the createinvoice tool. Your agent handles the payload validation before sending the request to Billit.

Connect Billit to your OpenAI Agents SDK production pipeline to generate invoices and track expenses with strict guardrails.

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Connect Billit MCP to OpenAI Agents SDK

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

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Automate billing tasks with OpenAI Agents SDK

Your agent uses `create_invoice` and `create_party` to push records directly into your accounting flow. It catches errors before they hit the API. This setup keeps your production environment clean. You'll see every action in your OpenAI dashboard tracing.

Query accounting data inside OpenAI Agents SDK

Fetch specific records using `get_invoice` or `get_party` to answer questions about outstanding balances. Your agent pulls the exact JSON fields it needs. Running `list_invoices` or `list_expenses` gives your agent the context to summarize monthly burn rates. It stays within your defined safety constraints.

Manage product catalogs with OpenAI Agents SDK

The `list_products` tool populates your agent's internal state with current inventory data. You won't have to manually sync your pricing tables. Everything stays in sync because your agent calls these tools in real-time. It's a direct bridge between your inventory and your logic.

Setup guide

Set up Billit 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 Billit tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the library and pass your server endpoint to the agent constructor. You'll use an async context manager to handle the connection.

Yes, just call the create_invoice tool. Your agent handles the payload validation before sending the request to Billit.

Enable cacheToolsList in your agent config for better performance. This keeps the Billit tool definitions ready for quick access.

Check your OpenAI dashboard tracing. Every tool execution is logged there automatically for your review.

Your financial data stays within the encrypted transport layer. Only the specific invoice or party details requested by your agent are ever transmitted.

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