VS Code

Connect VS Code with GitHub Copilot to the CoreClaw MCP Server so your AI coding assistant can discover CoreClaw workers, run them, monitor runs, and retrieve results directly within your editor.

Prerequisites

VS Code installed
GitHub Copilot extension with Agent mode enabled
A CoreClaw account with an API key from Console -> Settings -> API & Integrations

Configuration

VS Code with Copilot supports MCP via Streamable HTTP transport. Configure it through the MCP configuration panel.

Step 1: Open MCP Configuration

Open VS Code.
Press Ctrl+Shift+P or Cmd+Shift+P on macOS.
Select MCP: Add Server or MCP: Open User Configuration.
Open or create your mcp.json file.

Step 2: Add the CoreClaw MCP Configuration

{
  "mcpServers": {
    "coreclaw": {
      "url": "https://mcp.coreclaw.com/mcp",
      "headers": {
        "api-key": "YOUR_CORECLAW_API_KEY"
      }
    }
  }
}

Replace YOUR_CORECLAW_API_KEY with your actual CoreClaw API key.

Step 3: Restart VS Code

After saving the configuration, restart VS Code for the changes to take effect.

Verify the Connection

Open VS Code and start a new Copilot chat.
Switch to Agent mode.
Ask: “Find Amazon workers on CoreClaw.”
Copilot should call list_store_workers and return matching workers.

Example Conversation

You: Find a Google Maps worker and extract restaurant data near Central Park, New York.

Copilot: I’ll find a Google Maps worker, inspect its input schema, and run it for you. [Calls list_store_workers -> get_worker_input_schema -> run_worker -> get_worker_run -> list_worker_run_results]

Troubleshooting

Tools not appearing

Restart VS Code after MCP config changes.
Ensure you are in Agent mode.
Check that mcp.json is saved correctly.

Authentication errors

Ensure the api-key header value matches your CoreClaw API key exactly.
Verify your key is active in the Console.