hhobin/dataiku_factory

Developer tools

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Dataiku MCP tools

Обзор

A comprehensive Model Context Protocol (MCP) tool suite for Dataiku DSS integration. This project provides Claude Code with direct access to Dataiku DSS for managing recipes, datasets, and scenarios. - Python 3.11+ - Dataiku DSS instance with API access - Valid DSS API key 2. Configure your DSS connection in .env: Register the MCP server with Claude Code: - : Store API keys in environment variables, never in code - : Support for self-signed certificates with DSS_INSECURE_TLS=true - : All operations respect DSS user permissions - : Sensitive information is not exposed in error messages The MCP server provides logging for monitoring: 1. Fork the repository 2. Create a feature branch: git checkout -b feature/amazing-feature 3. Commit changes: git commit -m 'Add amazing feature' 4. Push to branch: git push origin feature/amazing-feature 5. Open a Pull Request - : python, r, sql, pyspark, scala, shell - : grouping, join, sync, split, distinct, sort, topn

README

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Dataiku Factory - MCP Tool Suite

A comprehensive Model Context Protocol (MCP) tool suite for Dataiku DSS integration. This project provides Claude Code with direct access to Dataiku DSS for managing recipes, datasets, and scenarios.

🚀 Quick Start

Prerequisites

Python 3.11+
Dataiku DSS instance with API access
Valid DSS API key

Installation

# Clone and setup
git clone 
cd dataiku_factory

# Run installation script
./install.sh

# Or install manually:
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -e .

Configuration

Copy environment template:

cp .env.sample .env

Configure your DSS connection in .env:

DSS_HOST=https://your-dss-instance.com:10000
DSS_API_KEY=your-api-key-here
DSS_INSECURE_TLS=true  # Only if using self-signed certificates

Test your connection:

python scripts/mcp_server.py --help

Claude Code Integration

claude mcp add dataiku-factory \
    -e DSS_HOST=https://your-dss-instance.com:10000 \
    -e DSS_API_KEY=your-api-key-here \
    -e DSS_INSECURE_TLS=true \
    -- python scripts/mcp_server.py

📚 MCP Tool Catalog

Core Recipe Management Tools

Tool	Description	Key Parameters
`create_recipe`	Create new recipe	`project_key`, `recipe_type`, `recipe_name`, `inputs`, `outputs`, `code`
`update_recipe`	Update existing recipe	`project_key`, `recipe_name`, `**kwargs`
`delete_recipe`	Delete recipe	`project_key`, `recipe_name`
`run_recipe`	Execute recipe	`project_key`, `recipe_name`, `build_mode`

Core Dataset Management Tools

Tool	Description	Key Parameters
`create_dataset`	Create new dataset	`project_key`, `dataset_name`, `dataset_type`, `params`
`update_dataset`	Update dataset settings	`project_key`, `dataset_name`, `**kwargs`
`delete_dataset`	Delete dataset	`project_key`, `dataset_name`, `drop_data`
`build_dataset`	Build dataset	`project_key`, `dataset_name`, `mode`, `partition`
`inspect_dataset_schema`	Get dataset schema	`project_key`, `dataset_name`
`check_dataset_metrics`	Get dataset metrics	`project_key`, `dataset_name`

Core Scenario Management Tools

Tool	Description	Key Parameters
`create_scenario`	Create new scenario	`project_key`, `scenario_name`, `scenario_type`, `definition`
`update_scenario`	Update scenario settings	`project_key`, `scenario_id`, `**kwargs`
`delete_scenario`	Delete scenario	`project_key`, `scenario_id`
`add_scenario_trigger`	Add trigger to scenario	`project_key`, `scenario_id`, `trigger_type`, `**params`
`remove_scenario_trigger`	Remove scenario trigger	`project_key`, `scenario_id`, `trigger_idx`