How to Use the Todoist MCP in VS Code Copilot

Q: How do I look up Todoist tasks using VS Code Copilot?

You ask the agent to run listtasks, giving it a project ID if you need it scoped down. The live output appears right in your chat window for immediate review.

Q: Can I add new tasks to Todoist via VS Code Copilot?

Yes, the agent runs createtask when you provide the content and project ID. This means team members don't need to switch away from their code editor to manage tickets.

Q: What if I need a list of all projects in Todoist using VS Code Copilot?

The agent calls listprojects and presents the full structure. This is helpful for understanding which work streams are active across the entire organization.

Q: How does the Todoist integration work with VS Code Copilot?

It allows your team to use tools like listsections and listlabels. This means you can get deep context on a project without leaving the editor, making code reviews faster.

Standardize team task management across the whole organization using Todoist within VS Code Copilot's shared agent configuration.

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Connect Todoist MCP to VS Code Copilot

Create your Vinkius account to connect Todoist to VS Code Copilot 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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Check task status for a pull request.

Need to know if a ticket is finished? Use `list_tasks` and filter by the project ID associated with the PR. This gives your whole team visibility into current work progress.

Update tasks or create new ones in bulk.

You can mark things as done using `complete_task`, which updates the record for everyone on the team. Need a follow-up item? Just run `create_task` and get it added right away.

Discover shared project taxonomy.

Use `list_projects` to see all active projects, or use `list_labels` to check which labels are in play. This keeps the team's understanding of the workload consistent across the repo.

Setup guide

Set up Todoist MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Todoist MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Todoist tools listed. Try asking: "List my recent Todoist transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "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 VS Code Copilot

You ask the agent to run `list_tasks`, giving it a project ID if you need it scoped down. The live output appears right in your chat window for immediate review.

Yes, the agent runs `create_task` when you provide the content and project ID. This means team members don't need to switch away from their code editor to manage tickets.

The agent calls `list_projects` and presents the full structure. This is helpful for understanding which work streams are active across the entire organization.

It allows your team to use tools like `list_sections` and `list_labels`. This means you can get deep context on a project without leaving the editor, making code reviews faster.

This server touches project and label definitions. It accesses `list_projects`, `list_sections`, and reads labels via `list_labels`. This helps keep the team's structure consistent.

Use it with your favorite AI tools

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