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Dataiku DSS MCP Server

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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.

Dataiku DSS

Works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Dataiku MCP Server: see your AI Agent in action

AI AgentVinkiusDataiku DSS
You

Vinkius AI Gateway
GDPR·High Security·Kill Switch·Ultra-Low Latency·Plug and Play

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.