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.
Vinkius AI Gateway supports streamable HTTP and SSE.

Works with every AI agent you already use
…and any MCP-compatible client


















Dataiku MCP Server: see your AI Agent in action
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)
What this connector 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
Give your AI agents the power of Dataiku
Access Dataiku and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.
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