Use Azure Log Analytics Workspace with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. This MCP does exactly one thing: it queries logs from a single Azure Log Analytics table. That's its only function, and nothing else. Incredible for giving your
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MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete Azure Log Analytics Workspace capability set.
These are the exact actions your AI can choose when you ask it to work with Azure Log Analytics Workspace.
01
1 capability in this set.
Part of 1 available through Azure Log Analytics Workspace.
- 01
Query logs
Do NOT include the table name in your query operations. The engine automatically prepends the authorized table name. Just provide the KQL operations (e.g., "| where TimeGenerated > ago(1h) | limit 10"). Execute a Kusto (KQL) query against the configured Log Analytics table
Observed, not estimated
903ms average. Fast in production.
Azure Log Analytics Workspace is checked daily against the live service.
- Fastest day
- 903ms
- Slowest day
- 903ms
- 14-day trend
- Stable0%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Azure Log Analytics Workspace, so you can see the experience inside your AI.
It does not authenticate your account with Azure Log Analytics Workspace. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Azure Log Analytics Workspace Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_h8mzxcilFYlijQMfr5u3GIGk82xs7W4r1G5Um6EK/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Azure Log Analytics Workspace capabilities are ready to use.
{
"mcpServers": {
"azure-log-analytics-workspace-mcp": {
"url": "https://edge.vinkius.com/vk_preview_h8mzxcilFYlijQMfr5u3GIGk82xs7W4r1G5Um6EK/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Azure Log Analytics Workspace owners ask.
- 01
Why limit the agent to a single Log Table?
To enforce zero-trust security. A Workspace often contains sensitive audit trails (like AzureActivity or SecurityEvents). By locking the agent to a specific table (e.g., 'AppExceptions'), you prevent it from reading global infrastructure access logs.
- 02
How should I format my KQL queries?
You do NOT need to include the table name. The MCP engine automatically handles the table prefix. Just pass the KQL operators starting with a pipe. Example: | where TimeGenerated > ago(1h) | limit 50.
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