How to Use the Azure Log Analytics Workspace MCP in Cursor

Q: How can Cursor use the Azure Log Analytics Workspace to write code?

In Agent Mode, Cursor can call the querylogs tool. It gets structured log data back from this MCP, which it then uses as context to generate code like interfaces or test cases based on real payloads.

Q: What's the setup process for the Azure Log Analytics Workspace connector in Cursor?

Add the Vinkius server URL to your project's .cursor/mcp.json file and commit it. For personal use, you can add it to your global /.cursor/mcp.json file instead.

Q: Can my agent accidentally delete my logs?

Impossible. The server only exposes the querylogs tool, which is read-only. It can't perform any write, update, or delete operations on your Azure data.

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Connect Azure Log Analytics Workspace MCP to Cursor

Create your Vinkius account to connect Azure Log Analytics Workspace to Cursor 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 Cursor

Ask AI about this MCP

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Claude

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Turn Logs into Code

The `query_logs` tool lets your Cursor agent fetch real data from your Azure Log Analytics workspace. Your agent doesn't just get a text response; it gets structured data it can use to write functions, tests, or data models. This MCP makes your agent a lot more useful. Ask your agent, "Find an example log entry for a successful user login and create a TypeScript interface for it." It will use `query_logs` to get the data from Azure and then write the code for you, right in your editor.

Debug with Live Context

Stop switching between your editor and the Azure portal. When you hit a bug, you can ask your agent to pull the relevant logs using `query_logs` without ever leaving your file. This changes how you debug. You can highlight a function and ask, "Are there any error logs from this service in the last 15 minutes?" The agent gets the answer from Azure and presents it right next to your code.

Test Against Real Data with this MCP Server

Writing unit tests with fake data is a pain. With this MCP Server, you can ask your agent to pull a sample of real log entries to build realistic test cases. For example, tell your agent: "Fetch 10 recent 'InvalidInput' errors using `query_logs` and write a Jest test that asserts our parser handles them correctly." It gets the data and writes the test.

Setup guide

Set up Azure Log Analytics Workspace MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Azure Log Analytics Workspace MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Azure Log Analytics Workspace transactions." If the MCP tools are loaded correctly, Cursor will call the Azure Log Analytics Workspace tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/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.

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Common questions about Azure Log Analytics Workspace MCP in Cursor

In Agent Mode, Cursor can call the `query_logs` tool. It gets structured log data back from this MCP, which it then uses as context to generate code like interfaces or test cases based on real payloads.

No, it's scoped to a single table you configure on the server. This is by design, giving your agent focused, secure access to only the logs it needs for the task at hand, which is ideal when working in Cursor.

Add the Vinkius server URL to your project's `.cursor/mcp.json` file and commit it. For personal use, you can add it to your global `~/.cursor/mcp.json` file instead.

Impossible. The server only exposes the `query_logs` tool, which is read-only. It can't perform any write, update, or delete operations on your Azure data.

The server only handles the KQL queries and the resulting log data for each request. Nothing is stored. Each query runs in a dedicated, isolated sandbox that's destroyed after the request is complete, so your log data is never persisted on Vinkius.

Use it with your favorite AI tools

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