The Azure Data Explorer MCP Server provides AI assistants with direct access to Azure Data Explorer (ADX) clusters and databases through standardized MCP interfaces. Built with Python using FastMCP, it enables executing KQL queries, discovering database resources, exploring table schemas, and sampling data from tables. The implementation supports authentication via client credentials or default Azure credentials and includes tools for listing tables, retrieving schemas, and executing custom queries. Ideal for AI workflows that need to analyze data stored in ADX, generate insights from logs and metrics, or help users explore their ADX resources.
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Highlight AIExecute a KQL query against Azure Data Explorer. Parameters: query (string) - KQL query to execute
List all tables in the configured database. Parameters: None
Get the schema for a specific table. Parameters: table_name (string) - Name of the table
Get sample data from a table. Parameters: table_name (string), sample_size (int, default: 10)
Get table statistics and metadata. Parameters: table_name (string) - Name of the table
