How to Use the TrackingTime MCP in Cursor

Q: How does Cursor use the TrackingTime MCP Server?

Cursor lets its AI agent call tools like listcustomers and inject the data directly into the code you are writing. This means your code uses live business context.

Q: Can I use TrackingTime to check my time entries in Cursor?

Yes, the agent can execute listtimeentries. The output of this function gets injected directly into your editor as structured data you can then work with.

Q: If I need to adjust a task, how do I use TrackingTime in Cursor?

The agent calls updatetask, and the live JSON response from that API call gets injected into your editor. You're writing code based on real data changes.

Inject real-time team data into code using the TrackingTime MCP Server in Cursor.

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Connect TrackingTime MCP to Cursor

Create your Vinkius account to connect TrackingTime 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 TrackingTime with Cursor

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Live Context with Project Data

When you're mid-coding, don't break flow to check records. Let your AI agent call `list_projects` and inject the resulting project list directly into the code block it generates for you. It uses real API responses, not just stubs. The MCP Server makes sure that context is always accurate before the code compiles.

Automate Time Logging in Your Agent Code

Need to log a block of work? The agent can execute `start_timer` and wrap the resulting time data into functions or variables. This means your generated code is immediately usable for tracking purposes. Calling `stop_timer` allows you to complete the cycle, giving your code accurate completion timestamps.

Manage Team Users Within Code Scope

You can use `list_workspace_users` within an agent prompt. The resulting list of team members gets injected right into your file, letting you write logic that accounts for user roles or IDs. This is critical when building code that needs to interact with multiple people's profiles.

Setup guide

Set up TrackingTime 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 TrackingTime 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 TrackingTime transactions." If the MCP tools are loaded correctly, Cursor will call the TrackingTime tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "trackingtime-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 TrackingTime. 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 TrackingTime MCP in Cursor

Cursor lets its AI agent call tools like `list_customers` and inject the data directly into the code you are writing. This means your code uses live business context.

The server manages project records, tasks, and user profiles. When you call `get_user_profile`, the resulting structured data is available to write into your code.

Yes, the agent can execute `list_time_entries`. The output of this function gets injected directly into your editor as structured data you can then work with.

The agent calls `update_task`, and the live JSON response from that API call gets injected into your editor. You're writing code based on real data changes.

This MCP Server touches user time entries, which are sensitive records of work performed. All interactions happen within the secure project scope defined by your `.cursor/mcp.json` file.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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