How to Use the Azure Log Analytics Workspace MCP in Claude Code

Q: How do I add the Azure Log Analytics Workspace MCP Server to Claude Code?

Run the command claude mcp add --transport http azure-log-analytics in your terminal. Use claude mcp list to verify that the MCP server is successfully registered in your /.claude.json configuration.

Q: Does Claude Code require local Azure CLI tools to query the Azure Log Analytics Workspace?

No, Claude Code communicates with the server via HTTP. The querylogs tool handles the Kusto query execution on the Vinkius platform, eliminating the need to install or configure the Azure CLI on your local machine.

Q: What is the correct syntax for running queries in Claude Code?

Tell Claude Code to use the querylogs tool with KQL operations only. Do not include the table name, as the server prepends it automatically. For example, use where TimeGenerated > ago(15m).

Pipe live Azure logs directly into your terminal-only Claude Code sessions for rapid headless debugging.

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Connect Azure Log Analytics Workspace MCP to Claude Code

Create your Vinkius account to connect Azure Log Analytics Workspace to Claude Code 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 Code

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Execute terminal-based KQL queries with Claude Code

The `query_logs` tool allows you to pull Azure telemetry directly into your terminal session using Claude Code. SREs can run quick diagnostic checks without opening a heavy web console. Because the server prepends the target table name, you can pass simple KQL filters like `| where SeverityLevel == 3` straight to the CLI. Claude Code executes the query and prints the raw log data directly to stdout.

Automate CI/CD verification using this MCP Server

The `query_logs` tool can be triggered by Claude Code inside headless environments like GitHub Actions or Docker containers. You can script post-deployment checks that query your logs for startup errors. If the query returns database connection failures or crash loops, Claude Code can automatically trigger a rollback script. This builds a tight feedback loop directly inside your deployment pipeline.

Scripted incident triage from SSH sessions

The `query_logs` tool is optimized for fast, text-only execution over SSH. When an alert fires, you can launch Claude Code on a remote server and ask it to analyze the last ten minutes of telemetry. The tool returns lightweight JSON payloads that Claude Code parses instantly. You get immediate answers about system health using this MCP server.

Setup guide

Set up Azure Log Analytics Workspace MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see azure-log-analytics-workspace-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Azure Log Analytics Workspace transactions." It will automatically discover and invoke the available Azure Log Analytics Workspace tools.

Terminal

claude mcp add --transport http azure-log-analytics-workspace-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Azure Log Analytics Workspace MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "azure-log-analytics-workspace-mcp": {
      "type": "url",
      "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.

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Common questions about Azure Log Analytics Workspace MCP in Claude Code

Run the command `claude mcp add --transport http azure-log-analytics ` in your terminal. Use `claude mcp list` to verify that the MCP server is successfully registered in your `~/.claude.json` configuration.

Yes, because Claude Code runs entirely in the terminal, you can direct the agent to run the `query_logs` tool and pipe the resulting log data into local CLI utilities like grep, jq, or awk.

No, Claude Code communicates with the server via HTTP. The `query_logs` tool handles the Kusto query execution on the Vinkius platform, eliminating the need to install or configure the Azure CLI on your local machine.

Tell Claude Code to use the `query_logs` tool with KQL operations only. Do not include the table name, as the server prepends it automatically. For example, use `| where TimeGenerated > ago(15m)`.

All KQL query outputs are fetched and processed within an ephemeral, zero-trust V8 Isolate sandbox. This architecture guarantees that your sensitive telemetry never lingers on Vinkius servers or leaks into public networks.

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