CAST Gatekeeper MCP Server

Install CAST Gatekeeper MCP Server in your MCP client

CAST Gatekeeper MCP Server is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

1. Locate your client's MCP config file.
   • Cursor: ~/.cursor/mcp.json
   • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
   • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
   • VS Code: Settings → Extensions → MCP
   • Windsurf: Settings → MCP Servers
2. Add CAST Gatekeeper MCP Server to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
3. Restart your client so it picks up the new server.
4. Verify — ask the assistant to list available tools; CAST Gatekeeper MCP Server's tools should appear.

{
  "mcpServers": {
    "cast-gatekeeper-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@cast-gatekeeper-mcp-server/mcp-server"
      ],
      "note": "Replace with the actual package name from the server's documentation."
    }
  }
}

Transport

CAST Gatekeeper MCP Server supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

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Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.