Dataiku

About

Dataiku provides a standardized and reliable interface for managing Dataiku DSS projects, datasets, recipes, jobs, scenarios, and more through its REST API. It focuses on simplifying day-to-day operations and offering clear, normalized outputs, including deterministic flow maps with detailed connectivity. The server is designed for robustness, featuring broad test coverage, a strong error taxonomy for reliable error handling, and optional latency diagnostics to ensure efficient communication with Dataiku DSS.

Key Features

• Provides summary-first outputs with explicit raw/detail toggles and optional full DSS JSON definitions.
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• Supports seamless integration with various MCP clients and AI assistants like Claude Desktop, Cursor, and Cline.
• Generates deterministic normalized flow maps (`project.map`) with recipe subtypes and explicit connectivity.
• Offers broad test coverage, including unit, live integration, and optional destructive integration suites.
• Implements a strong error taxonomy in responses (`not_found`, `forbidden`, `validation`, `transient`, `unknown`) with retry hints.

Use Cases

• Automating and streamlining day-to-day Dataiku DSS operations, such as managing projects, datasets, and jobs.
• Generating comprehensive and deterministic flow maps for detailed analysis of Dataiku DSS project structures and data pipelines.
• Integrating Dataiku DSS capabilities into AI assistant environments (e.g., Claude Desktop, Cursor, Cline) for enhanced interactive workflows.