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How to Use the Trigger.dev MCP in Google ADK

Act on operational data with your Google ADK agent and MCP Server.

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Trigger.dev MCP on Cursor AI Code Editor MCP Client Trigger.dev MCP on Claude Desktop App MCP Integration Trigger.dev MCP on OpenAI Agents SDK MCP Compatible Trigger.dev MCP on Visual Studio Code MCP Extension Client Trigger.dev MCP on GitHub Copilot AI Agent MCP Integration Trigger.dev MCP on Google Gemini AI MCP Integration Trigger.dev MCP on Lovable AI Development MCP Client Trigger.dev MCP on Mistral AI Agents MCP Compatible Trigger.dev MCP on Amazon AWS Bedrock MCP Support
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Google ADK

Connect Trigger.dev MCP to Google ADK

Create your Vinkius account to connect Trigger.dev to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Monitor Background Job Status via MCP Server

The `list_runs` tool lets your agent see a full history of task runs, providing metrics on execution success rates. It's perfect for auditing how often a workflow completes without error. Need to get more details? The `get_run` function pulls the deep-dive status report you need.

Manage Projects and Schedules using Google ADK

Your agent can list every project via `list_projects`, giving it a full context of your enterprise architecture. It also uses `list_schedules` to map out all scheduled recurring jobs. This means you never lose track of what's supposed to run and when.

Control Workflows from Google ADK

The agent can start a task manually with `trigger_task`. It also has the ability to replay completed jobs using `replay_run`, letting you test fixes or changes against historical data without risk.

Setup guide

Set up Trigger.dev MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Trigger.dev tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Trigger.dev_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Trigger.dev tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Trigger.dev. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Trigger.dev MCP in Google ADK

Call the `list_projects` tool. This method gives your agent a definitive list of every project name in the system.
It handles task run details, scheduled cron jobs, and deployment environments. This operational status is ready to be passed into your long-context reasoning models.
Yes, it uses `list_runs` to get a list of current task runs. If a process is stuck, you can then call `get_run` to investigate its status.
Just invoke the `trigger_task` tool. This immediately starts a background job, allowing your agent to test the workflow right away.
This server primarily manages Task Run details, which include start/end times, status codes, and error messages for every job execution.

Start using the Trigger.dev MCP today

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Built & Managed by Vinkius 30s setup 8 tools

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