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Vinkius
CursorIDE
Why use Dataiku DSS MCP Server with Cursor?

Bring Data Science
to Cursor

Create your Vinkius account to connect Dataiku DSS to Cursor and start using all 14 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Dataset SchemaGet JobGet ModelGet ProjectGet RecipeList ConnectionsList DatasetsList JobsList ModelsList PluginsList ProjectsList RecipesList ScenariosRun Scenario
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Dataiku DSS

What is the 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.

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

How it works

  1. Subscribe to this server
  2. Enter your Dataiku Instance URL and API Key (Personal, Project, or Global key)
  3. Start managing your data science workflows from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Scientists — monitor model training and compare dataset schemas without leaving the research flow
  • Data Engineers — track pipeline jobs and verify recipe configurations using natural language
  • MLOps Teams — trigger automation scenarios and monitor deployed models in real-time
  • Analytics Managers — audit project metadata and data connections across the organization

Built-in capabilities (14)

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)

Why Cursor?

Cursor's Agent mode turns Dataiku DSS into an in-editor superpower. Ask Cursor to generate code using live data from Dataiku DSS and it fetches, processes, and writes. all in a single agentic loop. 14 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

  • Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

  • Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

  • MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

  • VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

See it in action

Dataiku DSS in Cursor

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Dataiku DSS with Vinkius?

The Dataiku DSS connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 14 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Dataiku DSS
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Dataiku DSS using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Dataiku DSS and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Dataiku DSS to Cursor through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Dataiku DSS for Cursor

Every request between Cursor and Dataiku DSS is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can my agent trigger a Dataiku automation scenario?

Yes. Use the 'run_scenario' tool. Provide the project key and the scenario ID. The agent will command the backend to orchestrate the absolute workflow rules, triggering a new execution run for your pipeline or model retraining.

02

How do I check the schema of a specific dataset via chat?

Provide the project key and dataset name to the 'dataset_schema' tool. Your agent will validate the API arrays structurally and return the dataset column names and types natively, helping you understand your data boundaries.

03

Can I monitor the performance of saved ML models?

Absolutely. Use the 'get_model' tool. Your agent retrieves the metadata and performance metrics defining specific trained schema layers, allowing you to audit model quality and drift without opening the DSS UI.

04

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

05

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

06

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

07

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

08

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

09

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

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