Trigger.dev MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Trigger.dev as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="triggerdev_agent",
tools=tools,
system_message=(
"You help users with Trigger.dev. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Trigger.dev MCP Server
Connect Trigger.dev to your AI agent and manage your background job infrastructure conversationally.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Trigger.dev tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Job Monitoring — List active, completed, and failed task runs with execution times, statuses, and error details.
- Project Overview — Query projects, environments, and their associated job definitions.
- Run Inspection — Drill into individual runs to view payloads, outputs, logs, and retry history.
- Environment Management — Switch between dev, staging, and production environments to inspect runs across your deployment pipeline.
The Trigger.dev MCP Server exposes 8 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Trigger.dev to AutoGen via MCP
Follow these steps to integrate the Trigger.dev MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Trigger.dev automatically
Why Use AutoGen with the Trigger.dev MCP Server
AutoGen provides unique advantages when paired with Trigger.dev through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Trigger.dev tools to solve complex tasks
Role-based architecture lets you assign Trigger.dev tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Trigger.dev tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Trigger.dev tool responses in an isolated environment
Trigger.dev + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Trigger.dev MCP Server delivers measurable value.
Collaborative analysis: one agent queries Trigger.dev while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Trigger.dev, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Trigger.dev data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Trigger.dev responses in a sandboxed execution environment
Trigger.dev MCP Tools for AutoGen (8)
These 8 tools become available when you connect Trigger.dev to AutoGen via MCP:
cancel_run
Cancel a running task
get_run
Get run details
list_environments
List deployment environments
list_projects
List all projects
list_runs
List task runs
list_schedules
List cron schedules
replay_run
Replay a completed task
trigger_task
Trigger a background task
Example Prompts for Trigger.dev in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Trigger.dev immediately.
"Are there any failed background jobs in production?"
"Show me the details of the last 'process-webhook' run."
"How many jobs ran successfully today?"
Troubleshooting Trigger.dev MCP Server with AutoGen
Common issues when connecting Trigger.dev to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Trigger.dev + AutoGen FAQ
Common questions about integrating Trigger.dev MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Trigger.dev with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Trigger.dev to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.