How to Use the Dagster MCP in Cline

Q: Can Cline create a list of all jobs from my Dagster project?

Yes, that's what the listjobs tool is for. Just prompt Cline to 'list all jobs in Dagster,' and it will execute the command and show you the output directly in the chat or use it to write code.

Cline can now build, test, and commit code based on the live state of your Dagster pipelines. True end-to-end automation.

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Connect Dagster MCP to Cline

Create your Vinkius account to connect Dagster to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Dagster with Cline

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Code Against Live Pipeline State

Tell Cline to build a status dashboard component. It won't just generate boilerplate. It will use the `list_jobs` and `list_runs` tools to fetch real data from your Dagster instance and write code that uses it. This changes how you build internal tools. Cline can create a React component, import the data-fetching logic, write tests that mock the API response from this MCP Server, and stage the files for commit, all in one go.

Automate Pipeline Reporting

Need a daily report on pipeline health? Just ask Cline. It can use `list_runs` to find all runs from the last 24 hours, filter for failures, and then use `get_run` on each failed ID to collect the error messages. Cline doesn't just show you the data; it can format it. Tell it to 'Generate a markdown report of failed Dagster runs' and it will create the file, format the output, and save it right in your workspace.

Manage Assets Programmatically

This MCP Server gives Cline full visibility into your software-defined assets. The `list_assets` tool provides a real-time inventory of every asset your pipelines manage. Before starting a big migration, you can have Cline script the audit. Tell it: 'Use `list_assets` to get all assets, then for each one, check for a corresponding entry in our documentation repo.' Cline can write the script, run it, and report back on missing docs.

Setup guide

Set up Dagster MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type dagster-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Dagster refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "dagster-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Dagster MCP in Cline

Once connected, Cline's autonomous agent can use the Dagster tools to perform actions. It can fetch job lists, check run statuses, and inspect assets to inform the code it writes or the tasks it performs for you in VS Code.

Yes, that's what the `list_jobs` tool is for. Just prompt Cline to 'list all jobs in Dagster,' and it will execute the command and show you the output directly in the chat or use it to write code.

It's straightforward. You can say, 'Use the Dagster tools to show me all the schedules.' Cline will know to use the `list_schedules` tool and will return the list of all configured schedules.

Definitely. Tell Cline the job name that failed. It will use `list_runs` to find the failure and `get_run` to pull the specific error details, giving you the root cause without you leaving the editor.

The server only handles Dagster metadata—run logs, asset names, schedule details. It doesn't touch the actual data inside your pipelines. All requests are processed in a zero-trust, ephemeral Vinkius sandbox and are never logged or stored.

Use it with your favorite AI tools

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