Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights. Execute KQL queries against massive datasets with sub-second performance, including filtering, aggregation, time series analysis, and cross-table joins Discover and explore cluster resources, databases, and table schemas to understand your data model before querying Supports five core query patterns: basic retrieval, aggregation analysis, time series analytics, join-based correlation, and schema discovery Built-in fallback to Azure CLI commands when MCP tools timeout or encounter connection errors

Comprehensive Lark Base operations via CLI with table, field, record, view, formula, lookup, workflow, dashboard, and form management. Supports full CRUD operations on Base workspaces, tables, fields, and records; includes formula and lookup field creation for derived metrics and cross-table calculations Handles data analysis workflows: filtering, sorting, grouping, aggregation via data-query ; record search, list, and history tracking; view configuration and temporary projections Manages workflows, dashboards with block components, forms with question management, and role-based access control with advanced permissions Requires reading command-specific reference documentation before execution; enforces strict field structure validation, token parsing (Wiki to Base resolution), and serial execution for list operations

Daily schedule and task summary combining calendar events and pending to-dos for a specified date. Fetches calendar events and incomplete tasks for today, tomorrow, or a custom date range using ISO 8601 timestamps Requires explicit --complete=false flag when querying tasks to exclude completed items from the summary Outputs a structured report with time-converted events, task deadlines, conflict detection, and free time slots Supports filtering by due date ( --due-end ) and pagination ( --page-all ) for large task lists; requires prior Lark CLI authentication with calendar and task scopes

Query historical Azure costs, forecast future spending, and identify optimization opportunities across subscriptions and resource groups. Supports three primary workflows: cost queries with breakdown by service/resource/tag, spending forecasts with configurable time periods, and cost optimization analysis including orphaned resources and VM rightsizing Integrates with Azure Cost Management API (query and forecast endpoints) and Azure Monitor for utilization metrics; includes MCP tools for documentation lookup, CLI command generation, and Azure Quick Review compliance scanning Handles subscription, resource group, management group, and billing account scopes; enforces Cost Management Reader role requirement and includes rate-limit handling (4 requests/minute per scope) Requires actual cost data validation before recommendations; always presents total bill alongside optimization suggestions and includes Azure Portal links for all resources