How to Use the Trigger.dev MCP in OpenAI Agents SDK

Q: How do I check scheduled tasks using Trigger.dev and OpenAI Agents SDK?

The agent calls listschedules. This function pulls all cron schedules, letting you see when your background jobs are set to run next.

Q: Can the OpenAI Agents SDK list multiple projects?

Yes. The listprojects tool lets your agent query and receive a full list of every single project managed by Trigger.dev.

Q: If I need to stop a running task, what function should the OpenAI Agents SDK use for Trigger.dev?

You'll use cancelrun. This tool sends an immediate signal to halt any background job that is currently executing.

Q: What is the best way to get a history of failed runs using Trigger.dev and OpenAI Agents SDK?

First, you run listruns to see recent activity. Then, use getrun on a specific ID to pull all the failure details.

Manage background jobs and workflow status with your OpenAI Agents SDK.

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Connect Trigger.dev MCP to OpenAI Agents SDK

Create your Vinkius account to connect Trigger.dev 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 Trigger.dev with OpenAI Agents SDK

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Control Task Execution via MCP Server

You can monitor tasks in real-time. If a task is running wild, you hit `cancel_run` immediately to stop it. Need to check what happened with that specific run? Use `get_run` to pull detailed results and see exactly where the process failed.

Audit Project Statuses with OpenAI Agents SDK

The agent can list all available projects using `list_projects`. This gives you a quick inventory of everything that needs monitoring. It also checks deployment environments with `list_environments`, so your workflow knows exactly which sandbox it's talking to.

Manage and Replay Workflows

Don't want the task to be manual? Use `trigger_task` to start a background job on demand. Better yet, if a run failed, you can use `replay_run` to test the workflow without changing code.

Setup guide

Set up Trigger.dev 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 Trigger.dev tools at runtime.
3

Create your Agent

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

Run the agent

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

The agent calls `list_schedules`. This function pulls all cron schedules, letting you see when your background jobs are set to run next.

This server touches task run details, project lists, and deployment environments. Your agent can access all of that operational status information.

Yes. The `list_projects` tool lets your agent query and receive a full list of every single project managed by Trigger.dev.

You'll use `cancel_run`. This tool sends an immediate signal to halt any background job that is currently executing.

First, you run `list_runs` to see recent activity. Then, use `get_run` on a specific ID to pull all the failure details.

Use it with your favorite AI tools

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