Can my agent list all software-defined assets in Dagster?

Yes. Use the 'list_assets' tool. Your agent will retrieve all software-defined assets, allowing you to identify data dependencies and verify physical storage mappings within your pipelines.

How do I check the status of a specific job run?

Provide the 'run_id' to the 'get_run' tool. Your agent will fetch detailed information for that specific execution, including status (Success, Failure, In Progress) and detailed execution logs.

Can I see active sensors and schedules via the agent?

Absolutely. Use the 'list_schedules' and 'list_sensors' tools. Your agent will pull the active automation triggers, allowing you to audit which jobs are scheduled and which sensors are listening for external events.

Dagster MCP Server for AutoGen 6 tools — connect in under 2 minutes

Name: Dagster
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Dagster as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="dagster_agent",
            tools=tools,
            system_message=(
                "You help users with Dagster. "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 Dagster MCP Server

Connect your Dagster (Plus or open-source) instance to any AI agent and take full control of your data orchestration and asset management through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Dagster tools. Connect 6 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 Orchestration — List and audit all data jobs available in your Dagster server to understand active pipeline boundaries
Run Monitoring — Fetch chronological history of recent job runs and retrieve detailed status and execution logs for specific run IDs
Asset Tracking — Enumerate software-defined assets to identify data dependencies and verify physical storage mappings
Schedules & Sensors — List all configured job schedules and active sensors listening for external events to audit automation triggers
Environment Audit — Identify deployment boundaries and verify instance connectivity across Dagster Plus or self-hosted clusters

The Dagster MCP Server exposes 6 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 Dagster to AutoGen via MCP

Follow these steps to integrate the Dagster 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 6 tools from Dagster automatically

Why Use AutoGen with the Dagster MCP Server

AutoGen provides unique advantages when paired with Dagster through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Dagster tools to solve complex tasks

Role-based architecture lets you assign Dagster 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 Dagster tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Dagster tool responses in an isolated environment

Dagster + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Dagster MCP Server delivers measurable value.

Collaborative analysis: one agent queries Dagster while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Dagster, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Dagster data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Dagster responses in a sandboxed execution environment

Dagster MCP Tools for AutoGen (6)

These 6 tools become available when you connect Dagster to AutoGen via MCP:

get_run

Get run details from Dagster

list_assets

List all assets from Dagster

list_jobs

List all jobs from Dagster

list_runs

List recent runs from Dagster

list_schedules

List all schedules from Dagster

list_sensors

List all sensors from Dagster

Example Prompts for Dagster in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Dagster immediately.

"List all jobs in my Dagster deployment"

"Show me the status of the last 5 runs"

"What assets are currently defined in my project?"

Troubleshooting Dagster MCP Server with AutoGen

Common issues when connecting Dagster to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Dagster + AutoGen FAQ

Common questions about integrating Dagster MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Dagster tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.