How to Use the Bilflo MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK handle complex overtime rules from Bilflo?

Yes. The agent calls listovertimerules to extract local labor laws and applies them during timecard analysis. This keeps your automated payroll compliant without hardcoding logic.

Q: What happens if a contractor query fails?

The SDK catches the error during the getcontractor call and reports it in your tracing dashboard. Your agent can then retry the query or flag the record for manual review.

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Connect Bilflo MCP to OpenAI Agents SDK

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

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Safe Contractor Auditing with OpenAI Agents SDK

The `list_contractors` tool lets your agent pull active workforce data directly into OpenAI guardrail pipelines. Before executing any payroll decisions, the SDK runs validation checks on the contractor payload returned by `get_contractor`. This setup ensures your production agent never acts on corrupted staffing profiles. By passing the tool inside the context manager, the agent executes safety checks before any financial data moves to downstream systems.

Automated Billing Verification via MCP Server

Your agent calls `list_timecards` to grab raw hours and matches them against rules from `list_overtime_rules`. The OpenAI SDK handles the handoff between a billing agent and a compliance auditor agent without manual code. You get clean, verified invoices based on actual hours. If a timecard looks off, the agent triggers `get_timecard` to inspect the exact line items before approving the bill.

Client Account Management and Handoffs

The agent uses `list_clients` to monitor accounts and routes specific client queries to the account owner using `get_client`. OpenAI's tracing dashboard tracks every single tool call so you see exactly how the agent resolved a placement dispute. When a new position opens, the agent queries `list_placements` and `list_direct_hires` to find matching talent records. The entire tool execution runs inside a secure MCP sandbox, keeping your hiring data locked down.

Setup guide

Set up Bilflo 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 Bilflo tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the package using pip install openai-agents. Initialize the server using the Streamable HTTP params with your Vinkius endpoint, then pass the server object directly to your agent constructor.

Yes. The agent calls `list_overtime_rules` to extract local labor laws and applies them during timecard analysis. This keeps your automated payroll compliant without hardcoding logic.

You define separate agents for client management and contractor validation. One agent uses `list_clients` to find the account, then hands off the context to a second agent running `list_placements` to complete the audit.

The SDK catches the error during the `get_contractor` call and reports it in your tracing dashboard. Your agent can then retry the query or flag the record for manual review.

Your staffing records, contractor details, and timecard hours remain encrypted in transit. Vinkius runs the server in an isolated sandbox, meaning your OpenAI client only accesses the exact records returned by `get_timecard` or `get_contractor` without exposing your entire database.

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