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Treasure Data MCP Server

by knishioka

td_list_workflows

Monitor and audit Treasure Data workflows to track execution status, identify failed jobs, and maintain data pipeline health across all projects.

Instructions

List all workflows to monitor executions and find failed jobs.

Shows workflows across all projects with their latest execution status. Essential for monitoring data pipeline health and finding issues. Common scenarios: - Check which workflows are failing (status_filter="error") - Monitor currently running workflows (status_filter="running") - Find workflows by name (use search parameter) - Get overview of all scheduled jobs - Audit workflow execution patterns Filter options: status ('success', 'error', 'running'), search by name. Set verbose=True for execution history. Limit count to avoid token issues.

Input Schema

NameRequiredDescriptionDefault
countNo
include_systemNo
searchNo
status_filterNo
verboseNo

Input Schema (JSON Schema)

{ "properties": { "count": { "default": 50, "title": "Count", "type": "integer" }, "include_system": { "default": false, "title": "Include System", "type": "boolean" }, "search": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Search" }, "status_filter": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Status Filter" }, "verbose": { "default": false, "title": "Verbose", "type": "boolean" } }, "type": "object" }

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