How to Use the KanbanTool MCP in VS Code Copilot

Q: How do I deploy the KanbanTool MCP server to my VS Code Copilot team?

Create a .vscode/mcp.json file in your project root and commit it to version control. Anyone who pulls the repository will automatically inherit the server connection.

Sync your engineering team's KanbanTool boards directly inside VS Code Copilot.

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Connect KanbanTool MCP to VS Code Copilot

Create your Vinkius account to connect KanbanTool 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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Setup KanbanTool with VS Code Copilot

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Share KanbanTool context in VS Code Copilot

Every developer on your team gets immediate access to sprint priorities through the `list_boards` and `list_board_tasks` tools. You commit the MCP configuration to your repository, and suddenly everyone can ask Copilot what they should work on next. It standardizes the workflow across the entire organization. Filtering board data for specific engineers relies on the `get_user_profile` tool. The agent identifies who is currently logged in and shows only the cards assigned to that specific person. Nobody wastes time reading tickets they don't own.

Modify sprint items from the editor

Card statuses shift the moment your pull request merges via the `update_task_details` tool. You tell Copilot that the feature is complete, and it handles the API call to move the item across the board. You stay focused on the code. Stale items clear out of your active view when your AI client runs the `archive_task_card` operation. When a bug is rejected or a duplicate ticket appears, the agent removes it. Your team works from a clean slate every morning.

Inspect requirements via MCP Server

Exact specifications for complicated features pull down through the `get_task_details` tool. Copilot reads the card's custom fields and attachments, then uses that information to suggest the correct architecture for your new module. The AI builds on top of your actual business logic. Scanning the history of a card requires the `list_task_activities` tool to see who changed the requirements last Tuesday. Your agent reads the audit trail, giving you the context you need before you start writing code. It prevents you from building the wrong thing.

Setup guide

Set up KanbanTool 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 KanbanTool 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 KanbanTool tools listed. Try asking: "List my recent KanbanTool transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "kanbantool-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 KanbanTool. 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 KanbanTool MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your project root and commit it to version control. Anyone who pulls the repository will automatically inherit the server connection.

Yes. You must switch your chat interface into Agent mode. This allows the AI to execute the tools instead of just answering questions.

You can open the user configuration via the command palette and add the server there. This approach works well for personal side projects where you don't want to commit the setup to Git.

You need version 1.96 or higher. Older builds lack the necessary architecture to parse the tool definitions properly.

The system accesses task comments, user IDs, and shared board links only when explicitly invoked. Your corporate IT department can audit the configuration file, and the agent never scrapes data it wasn't asked to fetch.

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