AcademyMCP serversData and reporting
Data and analytics teams that query Azure Data Explorer and want an assistant to help write, run and inspect KQL.
claude mcp add adx -e ADX_CLUSTER_URL=https://yourcluster.region.kusto.windows.net -e ADX_DATABASE=your_database -- uv --directory '<full path to adx-mcp-server directory>' run src/adx_mcp_server/main.pyThird party software. By copying, downloading or installing it you accept the Academy legal notice: you are responsible for reviewing its code and permissions before use.
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An MCP server that lets AI assistants run KQL queries against Azure Data Explorer databases and explore them. It can list tables, show table schemas and preview sample rows, and it returns query results as structured JSON. It also works with Eventhouse clusters in Microsoft Fabric.
Data and analytics teams that query Azure Data Explorer and want an assistant to help write, run and inspect KQL. An MCP server that lets AI assistants run KQL queries against Azure Data Explorer databases and explore them. It can list tables, show table schemas and preview sample rows, and it returns query results as structured JSON. It also works with Eventhouse clusters in Microsoft Fabric.
Run this in your terminal: claude mcp add adx -e ADX_CLUSTER_URL=https://yourcluster.region.kusto.windows.net -e ADX_DATABASE=your_database -- uv --directory '<full path to adx-mcp-server directory>' run src/adx_mcp_server/main.py
Yes. The code is on GitHub (pab1it0/adx-mcp-server) under the MIT licence.
Our automatic scan flagged points to review, so read the code before installing it. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.