How to Use the Dataiku DSS MCP in Claude

Q: How do I connect Dataiku DSS to Claude Desktop?

You have two options. For the desktop app, edit your claudedesktopconfig.json file to add the MCP server details and restart. For Claude Web, go to Settings, open Integrations, and paste the remote server URL.

Connect Dataiku DSS to Claude Desktop to read project schemas, track ML pipelines, and trigger scenarios from chat.

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Connect Dataiku DSS MCP to Claude Desktop

Create your Vinkius account to connect Dataiku DSS to Claude Desktop 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 Dataiku DSS with Claude Desktop

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Browse Dataiku projects via MCP Server

Claude acts as your window into Dataiku when you connect this MCP Server. You ask for an overview of your data science environment, and the agent uses `list_projects` to pull everything you have access to. It grabs active workspaces without you needing to log into the web interface. Digging deeper takes just a quick prompt. Claude runs `list_datasets` and `dataset_schema` to show you exact column names and data types before you write a single line of SQL or Python. If you want to see what algorithms are deployed, the agent fires `list_models` and `get_model` to grab performance metrics.

Track your DSS builds from Claude Desktop

Checking on a long-running training job usually means keeping a browser tab open. Now you just ask your AI client for an update. It hits `list_jobs` to find active pipeline executions and pulls the current state. When a build fails, you want details fast. Claude triggers `get_job` to fetch timing data and output logs. You see exactly where the bottleneck happened, letting you troubleshoot the issue directly in the chat window.

Run scenarios without switching apps

Reading data is helpful, but taking action changes how you work. You can tell Claude to rebuild a specific dataset or retrain a model. The agent uses `list_scenarios` to find the right automation sequence. Once you confirm the target, Claude executes `run_scenario` to kick off the pipeline. You stay focused on your current task while Dataiku handles the heavy lifting in the background.

Setup guide

Set up Dataiku DSS MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Dataiku DSS MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Dataiku DSS MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under dataiku-dss-mcp.

json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dataiku. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Dataiku DSS MCP in Claude Desktop

You have two options. For the desktop app, edit your `claude_desktop_config.json` file to add the MCP server details and restart. For Claude Web, go to Settings, open Integrations, and paste the remote server URL.

No. The tools expose metadata, not row-level records. The agent can pull column names and types using `dataset_schema`, but it cannot query the actual data inside your tables.

The server gives your agent read access to projects, datasets, recipes, and models. For write actions, it can trigger existing automation pipelines using the `run_scenario` tool.

You just need API access enabled on your account. The server authenticates using your personal API key, so the agent only sees what your user profile has permission to view.

Your agent only processes system metadata like project names, column types, and job logs. The Vinkius V8 Isolate Sandbox ensures your API keys stay secure. Claude never sees the actual sensitive records stored in your connected databases or cloud buckets.

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