Use natural language to transform data and manage Coalesce and Snowflake resources.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "databricks-transform-mcp" yet — see the docs or source repo.
Create a transformation flow in Coalesce for Snowflake sales data: clean null values, aggregate revenue by month, and write the result to a new fact table.
Returns executable transformation steps, operation details, or the created pipeline resources.
Run the Coalesce transformation job configured yesterday and report the execution status, failed steps, and suggested fixes.
Returns job results, a status summary, error locations, and remediation suggestions.
List the Coalesce nodes and transformation resources in the current project, identify unused or duplicate objects, and suggest cleanup actions.
Returns a resource inventory, identified problematic objects, and optimization or cleanup recommendations.
Manage Coalesce Transform workspaces, nodes, pipelines, and run executions.
Connect AI to Snowflake for SQL, schema exploration, and data insights.
Manage Databricks clusters, jobs, SQL, and catalogs through MCP tools.
Securely query Snowflake warehouses with natural language and retrieve data insights.
Validate MySQL and Snowflake data integrity during migrations and ETL workflows.
Securely query governed Snowflake data and use Cortex AI tools with AI agents.