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

Aggregate meeting notes within a time range and generate structured reports. Queries meetings by date range (default: past 7 days), retrieves associated notes and verbatim transcripts, and compiles them into daily or weekly summaries Supports single-day overviews and multi-day/weekly reports with meeting statistics, timestamps, topics, and document links Requires lark-cli with authentication to vc domain (and optionally drive domain for document generation) Handles pagination for searches exceeding 30 results and batch queries for up to 50 meeting notes at a time Can optionally generate and append summaries to Lark cloud documents

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

View, create, and manage OKR cycles, objectives, key results, alignments, and progress tracking. Eight high-level shortcuts for common operations: listing cycles and progress records, retrieving cycle details, and creating or updating progress entries Full API coverage for OKR entities including objectives, key results, indicators, alignments, and categories with create, read, update, and delete operations Support for weighted and positioned objectives and key results within cycles, with validation enforcing weight sums and position uniqueness Rich text content blocks for objective, key result, and progress notes, with image upload capability for progress records Scope-based permission model distinguishing read-only access, write-only access, and settings access across OKR operations