Dataiku DSS MCP Server
Manage data science via Dataiku — list projects and datasets, track pipeline jobs, run automation scenarios, and monitor ML models directly from any AI agent.
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What is the Dataiku MCP Server?
The Dataiku MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Dataiku via 14 tools. Manage data science via Dataiku — list projects and datasets, track pipeline jobs, run automation scenarios, and monitor ML models directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (14)
Tools for your AI Agents to operate Dataiku
Ask your AI agent "List all projects in my Dataiku instance" and get the answer without opening a single dashboard. With 14 tools connected to real Dataiku data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Dataiku DSS MCP Server capabilities
14 toolsGet the schema (columns, types) of a specific dataset
Get job state, timing, and outputs
Get saved model metadata, algorithm, and performance metrics
Get project metadata, settings, and tags
Get recipe configuration and settings
List all DSS data connections (databases, cloud storage, APIs)
List all datasets in a project
List pipeline jobs in a project (build tasks, training runs)
List deployed/saved ML models in a project
List installed DSS plugins
List all DSS projects accessible to the API key
List all recipes (data transformations) in a project
List automation scenarios in a project
Trigger a scenario execution (build pipeline, retrain model)
What the Dataiku DSS MCP Server unlocks
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
Frequently asked questions about the Dataiku DSS MCP Server
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.
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.
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.
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Connect Dataiku DSS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Dataiku MCP Server
Production-grade Dataiku DSS MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.