Dagster MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dagster through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Dagster, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Dagster tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Dagster MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from Dagster and passes them to the LLM
Why Use Vercel AI SDK with the Dagster MCP Server
Vercel AI SDK provides unique advantages when paired with Dagster through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Dagster integration everywhere
Built-in streaming UI primitives let you display Dagster tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Dagster + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dagster MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dagster in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dagster tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dagster capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dagster through natural language queries
Dagster MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Dagster to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Dagster to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDagster + Vercel AI SDK FAQ
Common questions about integrating Dagster MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.