How to Use the eCompliance MCP in OpenAI Agents SDK

Q: How do I set up the eCompliance MCP Server with the OpenAI Agents SDK?

Install openai-agents via pip and configure MCPServerStreamableHttp pointing to your Vinkius endpoint. Pass this server instance inside the mcpservers list when initializing your agent. The SDK handles tool discovery instantly.

Q: Can the OpenAI Agents SDK handle multi-agent handoffs for eCompliance incidents?

Yes, your supervisor agent can call getincidentdetails and then hand off the task to a specialized compliance agent. The SDK manages state and tool access across your entire agent network automatically.

Q: Does the OpenAI Agents SDK support caching for eCompliance MCP tools?

Yes, set cacheToolsList=True in your server configuration to avoid redundant network requests. This ensures your safety agents load tools like listsafetyinspections instantly during production runs.

Q: How do I run a safety audit using this integration?

Your agent invokes quicksafetyhealthaudit to pull a summary of recent field activity. From there, it can drill down into specific failures by calling getinspectiondetails on any flagged audit.

Run production-ready safety agents that monitor incidents and assign corrective actions using the OpenAI Agents SDK.

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Connect eCompliance MCP to OpenAI Agents SDK

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

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Monitor site incidents with OpenAI Agents SDK

The `list_latest_incidents` tool lets your OpenAI agent pull the most recent safety reports automatically. It plugs directly into your multi-agent system, allowing a dedicated triage agent to spot critical field hazards the moment they get logged. You configure guardrails in Python to verify incident severity before passing the data to other nodes. This keeps your production workflows safe from executing unauthorized actions based on unverified field reports.

Audit safety health via the eCompliance MCP Server

The `quick_safety_health_audit` tool provides your agent with an instant snapshot of site inspections and open incidents. Your supervisor agent runs this high-level check, then hands off the heavy lifting to a specialized inspection agent if it detects a spike in unresolved issues. Because this MCP Server exposes real-time safety metrics, your OpenAI dashboard captures the entire run. You can trace exactly how your agent parsed the audit data and decided to trigger a site-wide follow-up.

Track corrective actions and site staff

The `list_corrective_actions` tool exposes active remediation plans directly to your deployed OpenAI agents. When an inspector logs a hazard, your agent queries `list_site_employees` to find the correct local safety officer and assign the task. This setup avoids hardcoded routing logic in your application. Your agents discover these tools dynamically and execute the assignments with built-in validation checks.

Setup guide

Set up eCompliance 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 eCompliance tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` via pip and configure `MCPServerStreamableHttp` pointing to your Vinkius endpoint. Pass this server instance inside the `mcp_servers` list when initializing your agent. The SDK handles tool discovery instantly.

Yes, your supervisor agent can call `get_incident_details` and then hand off the task to a specialized compliance agent. The SDK manages state and tool access across your entire agent network automatically.

Yes, set `cacheToolsList=True` in your server configuration to avoid redundant network requests. This ensures your safety agents load tools like `list_safety_inspections` instantly during production runs.

Your agent invokes `quick_safety_health_audit` to pull a summary of recent field activity. From there, it can drill down into specific failures by calling `get_inspection_details` on any flagged audit.

Your incident reports, employee lists, and inspection records never sit on external servers. Vinkius runs the integration in a zero-trust, ephemeral V8 isolate sandbox, passing your endpoint token securely to keep your field data private.

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