How to Use the Trigger.dev MCP in Google ADK
Act on operational data with your Google ADK agent and MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Trigger.dev MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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
Use it with your favorite AI tools
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