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

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Dagster as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="dagster_agent",
    instruction=(
        "You help users interact with Dagster "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)
Dagster
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Dagster as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Dagster MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 6 tools from Dagster via MCP

Why Use Google ADK with the Dagster MCP Server

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

01

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Dagster

03

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

04

Seamless integration with Google Cloud services means you can combine Dagster tools with BigQuery, Vertex AI, and Cloud Functions

Dagster + Google ADK Use Cases

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

01

Enterprise data agents: ADK agents query Dagster and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Dagster tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Dagster regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Dagster

Dagster MCP Tools for Google ADK (6)

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

01

get_run

Get run details from Dagster

02

list_assets

List all assets from Dagster

03

list_jobs

List all jobs from Dagster

04

list_runs

List recent runs from Dagster

05

list_schedules

List all schedules from Dagster

06

list_sensors

List all sensors from Dagster

Example Prompts for Dagster in Google ADK

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

01

"List all jobs in my Dagster deployment"

02

"Show me the status of the last 5 runs"

03

"What assets are currently defined in my project?"

Troubleshooting Dagster MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Dagster + Google ADK FAQ

Common questions about integrating Dagster MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Dagster to Google ADK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.