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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Execute a KQL query against Azure Data Explorer.
List all tables in the configured database.
Get the schema for a specific table.
Get sample data from a table with optional sample size.
