
Amit integrated Azure Data Explorer (Kusto) into the Azure/azure-mcp repository, delivering end-to-end data exploration and querying capabilities for MCP users. Using C# and the Azure SDK, Amit designed and implemented backend services that support listing clusters, databases, and tables, retrieving schemas, sampling data, and executing KQL queries. The work involved careful dependency management, command registration, and argument definition to ensure extensibility and production readiness. By enabling seamless Kusto operations through the MCP Server’s CLI, Amit reduced data-access friction and empowered users to make data-driven decisions, demonstrating depth in API integration and backend development within a complex cloud platform.

May 2025 monthly summary for Azure MCP development focusing on delivering customer-facing data exploration capabilities and strengthening the platform's Kusto integration. This month, the primary accomplishment was introducing Azure Data Explorer (Kusto) integration into the Azure MCP Server, enabling end-to-end data discovery and querying workflows for MCP users. The work involved not only feature delivery but also careful dependency management, command registration, and argument definition, ensuring a stable and extensible extension surface. The initiative is aligned with the platform’s goals of accelerating data-driven decisions and improving operational insight across the MCP ecosystem.
May 2025 monthly summary for Azure MCP development focusing on delivering customer-facing data exploration capabilities and strengthening the platform's Kusto integration. This month, the primary accomplishment was introducing Azure Data Explorer (Kusto) integration into the Azure MCP Server, enabling end-to-end data discovery and querying workflows for MCP users. The work involved not only feature delivery but also careful dependency management, command registration, and argument definition, ensuring a stable and extensible extension surface. The initiative is aligned with the platform’s goals of accelerating data-driven decisions and improving operational insight across the MCP ecosystem.
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