Kusto MCP Server

The MCP Kusto server turns Azure Data Explorer (Kusto) into a first‑class data source for AI assistants. By exposing a set of lightweight, read‑only tools—, , , and —the server lets an LLM such as Claude or Copilot to discover, explore, and interrogate a Kusto cluster without writing any code. This removes the friction that normally accompanies data‑driven conversations, enabling analysts to ask natural language questions and receive precise query results directly within the chat interface.

At its core, the server leverages Azure’s Go SDK and DefaultAzureCredential for authentication. The credential chain supports both local developer tools (e.g., Azure CLI) and managed identities, ensuring secure access while keeping setup simple. Once authenticated, the assistant can enumerate databases, drill down into table schemas, and run arbitrary KQL queries—all through the MCP tool interface. This read‑only access pattern is ideal for exploratory analytics, debugging data pipelines, or generating quick reports on demand.

Key capabilities include:

• Dynamic discovery: List all databases and tables to surface available data assets.
• Schema inspection: Retrieve column definitions, types, and metadata for any table, aiding in query construction.
• Query execution: Run KQL against a chosen database and return results directly to the assistant.
• Safety guidance: The README explicitly warns about LLM non‑determinism, encouraging users to validate outputs before making decisions.

Typical use cases span data science teams needing rapid prototyping, business analysts who want to surface insights in a conversational UI, and developers debugging ingestion pipelines. In an AI workflow, the assistant can first list tables, suggest relevant columns, propose a KQL snippet, and then execute it—all within the same conversation. This tight loop saves time, reduces cognitive load, and keeps developers focused on higher‑level problem solving.

What sets MCP Kusto apart is its seamless integration with popular MCP clients such as VS Code’s Copilot Agent Mode or Claude Desktop. Once the server is registered via a simple configuration, users can invoke Kusto tools directly from the chat pane. The server’s lightweight Go implementation ensures low latency, while Azure’s robust security model guarantees that only authorized principals can query the cluster. In short, MCP Kusto transforms a complex analytics platform into an intuitive conversational data layer, empowering developers and analysts to leverage Azure Data Explorer without leaving their IDE or chat environment.