How to Use the Lancerkit MCP in VS Code Copilot

Q: Can VS Code Copilot help draft invoices using Lancerkit?

Yes, Copilot can query listinvoices and gettimelogs to gather the necessary data. It can then draft the structure of your invoice for your review.

Q: Can I check connection status within VS Code Copilot?

Yes, you can ask Copilot to run getstatus at any time. It will check the connection and report back on whether the API is reachable.

Connect Lancerkit to VS Code Copilot via MCP to share tool access across your whole engineering team.

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Connect Lancerkit MCP to VS Code Copilot

Create your Vinkius account to connect Lancerkit 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 Lancerkit with VS Code Copilot

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Share this MCP Server across your engineering team

Your team can run `list_projects` and `get_project` directly from the VS Code Copilot chat panel to keep everyone aligned on project scopes. Commit your configuration to git to give every developer instant access. This puts critical project metadata right where the code is written. No one has to sign into a separate administrative dashboard just to check a project ID.

Verify billing structures inside VS Code Copilot

Developers can use this MCP setup to trigger `get_invoice` and `list_services` to verify payload structures against their local code. Avoid shipping broken webhooks or invalid data models to production. The assistant compares the live API responses with your TypeScript types to spot discrepancies. You catch integration bugs before they hit your staging environment.

Track active tasks within VS Code Copilot

Copilot uses `list_tasks` and `get_time_logs` to check what work is currently logged against active tickets. Keep your development tasks synchronized with your billing records. You can ask the chat to draft commit messages or pull request descriptions based on the actual tasks you completed. It links your code changes directly to billable agency hours.

Setup guide

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

.vscode/mcp.json

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

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Common questions about Lancerkit MCP in VS Code Copilot

Add the server settings to your workspace .vscode/mcp.json file and commit it to your repository. Any team member with VS Code 1.96+ will have access to the tools automatically.

Yes, Copilot can query `list_invoices` and `get_time_logs` to gather the necessary data. It can then draft the structure of your invoice for your review.

Each developer uses their own secure endpoint token configured in their user settings. This ensures team members only access the specific workspaces they have permission to view.

Yes, you can ask Copilot to run `get_status` at any time. It will check the connection and report back on whether the API is reachable.

Your logged hours, task descriptions, and client metadata are transmitted securely via encrypted HTTPS tunnels. This MCP Server configuration ensures no time log details are cached or used to train public AI models.

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