Azure Data Explorer MCP Server
This project provides a Model Context Protocol (MCP) server for Azure Data Explorer, enabling AI assistants to interact with and analyze data stored in ADX databases. It offers a standardized interface for AI tools to execute KQL queries and explore database resources.
Key Features:
- KQL Query Execution: Allows AI assistants to execute KQL queries against Azure Data Explorer.
- Database Discovery: Enables AI tools to discover and explore database resources, including listing tables and viewing schemas.
- Data Sampling: Provides the ability to sample data from tables for exploration and analysis.
- Authentication Support: Supports token-based authentication, leveraging Azure CLI and MSI.
- Docker Support: Offers Docker containerization for easy deployment and isolation.
- Configurable Tools: Allows customization of available tools for AI assistants.
Use Cases:
- Integrating Azure Data Explorer with AI-powered chatbots and virtual assistants.
- Automating data analysis tasks using AI tools.
- Building intelligent applications that leverage ADX data.
- Providing a secure and standardized interface for AI access to sensitive data.
