Dataiku DSS MCP Server for Cline 14 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Dataiku DSS through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Dataiku DSS and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"dataiku-dss": {
"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 Dataiku DSS MCP Server
Connect your Dataiku DSS instance to any AI agent and take full control of your enterprise AI and collaborative data science workflows through natural conversation.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Dataiku DSS tool calls without waiting for prompts between steps. Connect 14 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
What you can do
- Project & Dataset Exploration — List all accessible DSS projects and retrieve structural extraction of dataset column schemas and types
- Pipeline Orchestration — Monitor build tasks and training runs by listing pipeline jobs and analyzing execution states and timing
- Transformation Auditing — Retrieve explicit configuration structures parsing precise Dataiku recipes (Python, SQL, Visual) to verify data logic
- Automation & Scenarios — List automation scenarios and trigger execution commands to rebuild pipelines or retrain models securely
- Model Monitoring — Identify saved ML models and retrieve detailed performance metrics defining specific trained schema layers
- Admin Oversight — Enumerate installed plugins and data connections (SQL, Cloud Storage, APIs) to verify organizational constraints
The Dataiku DSS MCP Server exposes 14 tools through the Vinkius. Connect it to Cline 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 Dataiku DSS to Cline via MCP
Follow these steps to integrate the Dataiku DSS MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Dataiku DSS
Ask Cline: "Using Dataiku DSS, help me...". 14 tools available
Why Use Cline with the Dataiku DSS MCP Server
Cline provides unique advantages when paired with Dataiku DSS through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Dataiku DSS + Cline Use Cases
Practical scenarios where Cline combined with the Dataiku DSS MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Dataiku DSS and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Dataiku DSS tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Dataiku DSS and generates snapshot tests or mocks based on actual payloads
Incident response: query Dataiku DSS for real-time status and let Cline generate hotfix patches based on the findings
Dataiku DSS MCP Tools for Cline (14)
These 14 tools become available when you connect Dataiku DSS to Cline via MCP:
dataset_schema
Get the schema (columns, types) of a specific dataset
get_job
Get job state, timing, and outputs
get_model
Get saved model metadata, algorithm, and performance metrics
get_project
Get project metadata, settings, and tags
get_recipe
Get recipe configuration and settings
list_connections
List all DSS data connections (databases, cloud storage, APIs)
list_datasets
List all datasets in a project
list_jobs
List pipeline jobs in a project (build tasks, training runs)
list_models
List deployed/saved ML models in a project
list_plugins
List installed DSS plugins
list_projects
List all DSS projects accessible to the API key
list_recipes
List all recipes (data transformations) in a project
list_scenarios
List automation scenarios in a project
run_scenario
Trigger a scenario execution (build pipeline, retrain model)
Example Prompts for Dataiku DSS in Cline
Ready-to-use prompts you can give your Cline agent to start working with Dataiku DSS immediately.
"List all projects in my Dataiku instance"
"What is the schema for dataset 'raw_logs' in project 'FRAUD'?"
"Run scenario 'REBUILD_PIPELINE' in project 'SALES'"
Troubleshooting Dataiku DSS MCP Server with Cline
Common issues when connecting Dataiku DSS to Cline through the Vinkius, and how to resolve them.
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Dataiku DSS + Cline FAQ
Common questions about integrating Dataiku DSS MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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Connect Dataiku DSS to Cline
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.