A
licenseA
qualityC
maintenanceMCP 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.
9
23 npm
MIT
Dataiku DSS MCP Server
by steven0lisa
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TDQS
B3/5.0
Scored across 43 tools
Disambiguation4/5
Most tools have distinct purposes, e.g., get_recipe_info vs get_recipe_code clearly separate; overlapping functions like get_job_details and get_recent_runs are scoped differently. A few pairs like search_project_objects and individual list functions could cause confusion, but descriptions generally clarify.
Naming Consistency4/5
Majority follow verb_noun pattern (e.g., create_dataset, delete_recipe). Some deviations exist (check_dataset_metrics instead of get_, batch_update_objects as a prefix), but overall consistency is high with no mixed conventions.
Tool Count3/5
43 tools is high, but the Dataiku platform is complex, covering datasets, recipes, scenarios, projects, and system resources. While some tools could be consolidated (e.g., multiple scenario getters), the count is borderline but reasonable for the domain.
Completeness4/5
Covers CRUD for main objects, plus build, run, test, validate, search, batch operations, and project-level exports. Missing delete_project and user management, but core workflows are well-supported with no dead ends.
Maintenance
ActivityInactive
ResponsivenessNo issues