VS Code

Connect VS Code with GitHub Copilot to the CoreClaw MCP Server so your AI coding assistant can search for scrapers, run them, and retrieve data directly within your editor.

Prerequisites

VS Code installed
GitHub Copilot extension with Agent mode enabled
A CoreClaw account with an API key — get it from Console → Settings → API & Integrations

Configuration

VS Code with Copilot supports MCP via Streamable HTTP transport. You can configure it via the MCP configuration panel.

Step 1: Open MCP configuration

Open VS Code
Press Ctrl+Shift+P (or Cmd+Shift+P on macOS)
Type and select “MCP: Add Server” or “MCP: Open User Configuration”
This opens your mcp.json file

Step 2: Add the CoreClaw MCP configuration

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

Replace scraper_api_YOUR_KEY_HERE 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: “Search for Amazon scrapers on CoreClaw”
Copilot should invoke search_scrapers and return results

Example conversation

Once connected, you can ask Copilot to perform scraping tasks:

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

Copilot: I’ll search for a Google Maps scraper and run it for you. [Calls search_scrapers → get_scraper_details → run_scraper → polls status → returns results]

Troubleshooting

Tools not appearing

Restart VS Code — MCP changes require a restart
Ensure you’re in Agent mode (not Ask or Edit mode)
Check that the mcp.json file 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