How to Use the Conduit MCP in OpenAI Agents SDK

Q: Can Conduit provide status updates to an OpenAI Agents SDK agent?

Yes, you use the getrunstatus tool to fetch live data. Your agent receives the exact timing and error output directly from the platform.

Q: What happens if a workflow fails in my OpenAI Agents SDK agent?

The server returns error details through getrunstatus. You can then program your agent to retry or alert your team.

Hook Conduit into your OpenAI Agents SDK production pipeline to trigger data flows and watch execution status in real-time.

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Connect Conduit MCP to OpenAI Agents SDK

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

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Trigger flows from your OpenAI Agents SDK

Call `trigger_workflow` directly from your agent logic to kick off data synchronization tasks. You won't need to leave your code to manage pipeline execution. This MCP Server handles the handshake so your agent can fire off jobs and wait for confirmation. It turns your agent into an active participant in your data infrastructure.

Monitor execution history in OpenAI Agents SDK

Use `list_workflow_runs` to pull execution logs into your agent's context. You get timestamps and status codes for every job iteration. Pass this data to your agent to diagnose why a sync failed or to report progress to your dashboard. It keeps your operations visible without manual polling.

Manage your pipeline via OpenAI Agents SDK

Call `list_workflows` to map out your available data pipelines. You can then target specific IDs to get granular details through `get_workflow`. Your agent now understands the topology of your integrations. It can query the state of any source or destination connector before taking action.

Setup guide

Set up Conduit 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 Conduit tools at runtime.
3

Create your Agent

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

Run the agent

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

You initialize the MCPServerStreamableHttp class with your endpoint and pass it to your Agent constructor. The agents SDK auto-discovers all tools once the server is registered.

Yes, you use the `get_run_status` tool to fetch live data. Your agent receives the exact timing and error output directly from the platform.

You should set cacheToolsList to True during the server setup. This reduces overhead and keeps your agent responses snappy.

The server returns error details through `get_run_status`. You can then program your agent to retry or alert your team.

We enforce strict transport security for all requests. Conduit only accesses the specific workflow execution logs and status metadata you explicitly request.

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