Dagster MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Dagster through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"dagster": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Dagster Agent",
instructions:
"You help users interact with Dagster " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Dagster?"
);
console.log(result.text);
}
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Dagster tool infrastructure. Connect 6 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Dagster MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Dagster via MCP
Why Use Mastra AI with the Dagster MCP Server
Mastra AI provides unique advantages when paired with Dagster through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Dagster without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Dagster tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Dagster + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Dagster MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Dagster, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Dagster as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Dagster on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Dagster tools alongside other MCP servers
Dagster MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Dagster to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Dagster to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDagster + Mastra AI FAQ
Common questions about integrating Dagster MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Dagster with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Dagster to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.