How to Use the Todoist MCP in Cline

Q: How do I programmatically list tasks in Todoist using Cline?

You call listtasks from your script. If the task needs filtering, you just supply the relevant project ID. The output is structured data ready for use in your code.

Q: Can I write a function to create tasks in Todoist using Cline?

Yes. You can wrap createtask into a Python or Node module. Just feed it the content and project ID, and it writes the task for you. No hand-holding required.

Q: If I need to check comments on Todoist with Cline, what tools do I use?

You call listcomments against a specific task's ID. This fetches all associated messages and context, which you can then parse into your application logic.

Q: What labels does the Todoist MCP Server allow me to list with Cline?

To see what tags are available, execute listlabels. The agent returns a clear list of all user-defined labels you've attached across your entire todo environment.

Execute Todoist actions in your code base using Cline.

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Connect Todoist MCP to Cline

Create your Vinkius account to connect Todoist to Cline 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 Todoist with Cline

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Automate Task Creation via the MCP Server

Got a script that needs to dump tasks? Use `create_task` directly from your code. You pass it content and an optional project ID, and Cline handles writing the task into Todoist. It's perfect for building automated pipelines where you need reliable data entry without human intervention.

Generate Task Lists in Todoist

Need to pull a batch of tasks? Running `list_tasks` lets your agent fetch all active items, and you can restrict the scope by supplying a project ID. The data comes back clean for immediate use. This makes it easy to build components that display dynamic todo lists based on live backend data.

Track Project Progress in Todoist

Use `list_projects` and then `list_sections` to map out the structure of your work. This lets your code base understand exactly how complex projects are organized. It's a structured way to get project hierarchy data, which you can then use to write tests or generate documentation.

Setup guide

Set up Todoist MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type todoist-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Todoist refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "todoist-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 Todoist. 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 Todoist MCP in Cline

You call `list_tasks` from your script. If the task needs filtering, you just supply the relevant project ID. The output is structured data ready for use in your code.

Yes. You can wrap `create_task` into a Python or Node module. Just feed it the content and project ID, and it writes the task for you. No hand-holding required.

You call `list_comments` against a specific task's ID. This fetches all associated messages and context, which you can then parse into your application logic.

To see what tags are available, execute `list_labels`. The agent returns a clear list of all user-defined labels you've attached across your entire todo environment.

The server handles project IDs and task content. Your code only sees the structured identifiers it needs, never raw credentials or sensitive personal data.

Use it with your favorite AI tools

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

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