Create a new recipe in a Dataiku DSS project by specifying recipe type, name, inputs, outputs, and optional code.
Apache 2.0
593,759 tools. Updated 2026-09-20 20:37
"Dataiku" matching MCP tools:
- Retrieve a list of all Dataiku projects available in the DSS instance.Apache 2.0
- List, run, check status, get details, create, update, or delete Dataiku automation flows. Retrieve summaries or full definitions.MIT
- List all datasets in a Dataiku DSS project. Optionally filter by dataset type or search by name, and choose to return simplified information.Apache 2.0
- List and retrieve Dataiku object metadata, and map flow connectivity between items. Returns normalized graph structure or original payload for analysis.MIT
- Discover Dataiku data access details using fast name lookup or rich dataset scanning for inferred type, schema, and managed attributes.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceMCP server for Dataiku DSS REST APIs, enabling flow analysis and day-to-day operations on projects, datasets, recipes, jobs, scenarios, folders, variables, connections, and code environments.923 npmMIT
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- Run a dry test of a recipe by processing sample rows to verify logic without executing the full recipe.Apache 2.0
- Create a copy of an existing Dataiku DSS scenario with optional modifications to its settings. Requires project key, source scenario ID, and new name.Apache 2.0
- Manage Dataiku DSS runs: list, inspect, build, wait, and abort. Retrieve logs and full definitions as needed.MIT
- Retrieve recent run history across all scenarios and recipes in a Dataiku project to monitor execution status and outcomes.Apache 2.0
- Check Python or SQL syntax of a recipe in a Dataiku DSS project, optionally using provided code instead of the stored recipe code.Apache 2.0
- Search for datasets, recipes, and scenarios in a Dataiku DSS project by name or pattern, with optional filtering by object type.Apache 2.0
- Get or set project configuration in Dataiku DSS. Setting merges new standard and local keys with existing values, enabling targeted updates.MIT
- List Dataiku code environments and retrieve package summaries. Use full=true to get complete package lists for an environment.MIT
- Remove an existing recipe from a Dataiku DSS project by specifying the project key and recipe name.Apache 2.0
- Create a new scenario in a Dataiku DSS project by specifying its name, type (step-based or custom Python), and optional definition.Apache 2.0
- Retrieve detailed run logs and error messages from failed scenarios to identify root causes of failures.Apache 2.0
- Extract the actual Python or SQL source code from any recipe in a Dataiku project. Specify the project key and recipe name to retrieve the code.Apache 2.0
- Obtain the full hierarchical structure of recipes and datasets in a Dataiku project, representing the entire data pipeline.Apache 2.0
- Retrieve the step configuration of a Dataiku DSS scenario, including embedded Python code.Apache 2.0
- Retrieve the latest metrics for any dataset in a Dataiku DSS project by specifying the project key and dataset name.Apache 2.0