How to Use the Worktile MCP in Cursor

Q: How do I programmatically list tasks in Worktile using Cursor?

Just call the listtasks function. The AI agent will execute this, and you’ll get a structured JSON response containing all task details that you can then use as live input for your code.

Q: Can I update work items in Worktile using Cursor?

Yes. You pass the necessary parameters to updatetask, and the AI generates the calling structure, allowing you to modify task details from within your editor environment.

Q: If I need project data for Worktile in my code using Cursor, what tool should I use?

Use getproject. This fetches specific project parameters. Because it's live, the resulting code block will run against real API responses, saving you hours of debugging.

Q: Does this MCP Server help with Worktile communications in Cursor?

It does. The sendmessage tool lets your agent write functions that send messages into specific channels, making your application a functional communication hub.

Write code using live Worktile data right inside Cursor with the MCP Server.

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Connect Worktile MCP to Cursor

Create your Vinkius account to connect Worktile 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 Worktile with Cursor

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Injecting Live Project Data in Cursor

Don't write mock endpoints. Use `get_project` to fetch real project details, and inject that response directly into your code block. This lets you test logic against live data right as you type. You can also list all active projects with `list_projects`, getting the necessary context to make sure your functions target the correct ID.

Handling Worktile Tasks in Cursor

Need to write a function that modifies task status? Use `update_task` and pass it real data retrieved from `list_tasks`. The AI generates working code that uses this live API response, not stubs. Better yet, the server allows you to create new tasks using `create_task`, making your application immediately actionable.

Managing Worktile Teams and Communications in Cursor

Writing a multi-user feature? The MCP Server provides tools like `list_members` and `get_team_info`. You can write code that iterates over real user data to build out team logic. For communication features, you can use the `send_message` tool, making your application capable of sending real messages into channels.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "worktile-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Worktile. 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 Worktile MCP in Cursor

Just call the `list_tasks` function. The AI agent will execute this, and you’ll get a structured JSON response containing all task details that you can then use as live input for your code.

Yes. You pass the necessary parameters to `update_task`, and the AI generates the calling structure, allowing you to modify task details from within your editor environment.

Use `get_project`. This fetches specific project parameters. Because it's live, the resulting code block will run against real API responses, saving you hours of debugging.

It does. The `send_message` tool lets your agent write functions that send messages into specific channels, making your application a functional communication hub.

The server handles project structures, task records (status and details), team member lists, and message history. It covers the core components of your workflow.

Use it with your favorite AI tools

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

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