Dagster MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Dagster through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Dagster and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"dagster": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Dagster tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Dagster MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Dagster
Open Cascade and ask: "Using Dagster, help me...". 6 tools available
Why Use Windsurf with the Dagster MCP Server
Windsurf provides unique advantages when paired with Dagster through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Dagster + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Dagster MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Dagster and generate models, types, or handlers based on real API responses
Live debugging: query Dagster tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Dagster and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Dagster data with Cascade's code generation to scaffold entire features in minutes
Dagster MCP Tools for Windsurf (6)
These 6 tools become available when you connect Dagster to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Dagster to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Dagster + Windsurf FAQ
Common questions about integrating Dagster MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Dagster with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Dagster to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
