How to Use the Azure Log Analytics Workspace MCP in Claude

Q: Can the agent write data back to my Azure logs?

Absolutely not. The querylogs tool is strictly read-only. Your agent can only execute KQL queries to fetch data, not insert or modify it.

Query Azure logs without leaving your chat. A direct line from Claude Desktop to your application's telemetry.

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Connect Azure Log Analytics Workspace MCP to Claude Desktop

Create your Vinkius account to connect Azure Log Analytics Workspace to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Azure Log Analytics Workspace with Claude Desktop

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Query Logs Directly in Chat

The `query_logs` tool connects Claude directly to your Azure Log Analytics table. You just ask your agent to find specific events, and it writes the KQL for you. No more context switching to the Azure portal just to check on an error spike. This is about speed. Instead of digging through dashboards, you type "show me all 500 errors from the last hour" and get a formatted table back, right in the chat. It's the fastest way to get answers from your logs with this MCP server.

Secure, Read-Only Access

This MCP server is configured for read-only access to a single table. Your agent can't modify data or query other parts of your workspace. It's a secure, narrow keyhole into your telemetry. When you connect this server, you're giving Claude a very specific, limited permission. The `query_logs` tool is the only operation it can perform. That's a good thing for security and compliance.

Live Debugging with Claude Desktop

When you're debugging, you need live data. Connect this MCP tool, and you can ask Claude Desktop to pull recent logs while you're working through a problem. It's like having a junior dev who can instantly fetch telemetry for you. The agent can analyze the results from `query_logs` and help you spot patterns. Ask it "Are these errors correlated?" and your agent can check, because it has direct access to the raw log data.

Setup guide

Set up Azure Log Analytics Workspace MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Azure Log Analytics Workspace MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Azure Log Analytics Workspace MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under azure-log-analytics-workspace-mcp.

json

{
  "mcpServers": {
    "azure-log-analytics-workspace-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Azure Log Analytics Workspace. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Azure Log Analytics Workspace MCP in Claude Desktop

Once connected, just ask your agent in plain English. For example, "use `query_logs` to find all logs with 'payment_failed' in the last 30 minutes." The agent will translate your request into a KQL query and run it.

No, each server instance is configured for a single table. This is a security feature to prevent your agent from accessing unintended data. To query another table, you'd need to set up a separate server instance for it.

For the web version of Claude, paste the Vinkius server URL into the custom connectors settings. If you're using the desktop app, you'll add the server configuration to your `claude_desktop_config.json` file for local access.

Absolutely not. The `query_logs` tool is strictly read-only. Your agent can only execute KQL queries to fetch data, not insert or modify it.

This server only touches the Kusto Query Language (KQL) queries you run and the log entries returned by Azure. Vinkius processes these queries in an ephemeral, sandboxed environment and doesn't store your log data.

Use it with your favorite AI tools

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