KQL MCP Server

Enables AI assistants to query and analyze data in Azure Data Explorer, Log Analytics, and Microsoft Sentinel using Kusto Query Language (KQL) through tools, resources, and prompts.

→ rod-trent/KQL-MCP · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 1 credential: AZURE_CLIENT_SECRET

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configADX_CLUSTERS— '[{"name": "my-cluster", "cluster_url": "https://mycluster.eastus.kusto.windows.net", "database": "mydb"}]'

configLOG_ANALYTICS_WORKSPACES— '[{"name": "sentinel", "workspace_id": "your-workspace-id"}]'

configAZURE_AUTH_METHOD— cli, managed_identity, service_principal, or interactive

configAZURE_TENANT_ID

configAZURE_CLIENT_ID

🔐 secretAZURE_CLIENT_SECRET

configMAX_QUERY_ROWS

configQUERY_TIMEOUT_SECONDS

configCOST_WARNING_THRESHOLD_SECONDS

configSCHEMA_CACHE_TTL_MINUTES

configDEFAULT_OUTPUT_FORMAT

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/rod-trent-kql-mcp-1cwm5k)](https://m8ven.ai/mcp/rod-trent-kql-mcp-1cwm5k)

commit: 0f10aa73d6f198910be2fcf1d75d0750474e91de

code hash: d4255b96cad5573457e25d3f9d64f035ef7435e714c47f2993e8d6eca1aa1409

verified: 6/24/2026, 10:04:36 AM

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