Wawp MCP Server 🤖

The Model Context Protocol (MCP) server for the Wawp WhatsApp API. This tool allows AI models (like Cursor, Windsurf, or Claude Desktop) to interact directly with your WhatsApp instances.

🚀 Quick Start

You don't need to install anything manually. You can run the server directly using npx.

🖱️ Cursor / Windsurf

Add a new MCP server with the following settings:

• Type: command

• Command: npx

• Args: ["-y", "@wawp/mcp-server@latest"]

🤖 Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "wawp": {
      "command": "npx",
      "args": ["-y", "@wawp/mcp-server@latest"]
    }
  }
}

Related MCP server: WAHA MCP Server

🔑 Configuration

Once the server is connected, you can set your credentials using the set_config tool or by creating a .env file in your project root:

WAWP_INSTANCE_ID=your_instance_id
WAWP_ACCESS_TOKEN=your_access_token
WAWP_TEST_NUMBER=recipient_number

🛠️ Available Tools

• set_config: Update credentials for the current session.

• get_session_health: Check WhatsApp connection status.

• send_local_file: Send images, PDFs, videos, or audio files from your local machine.

• execute_request: Make any raw request to the Wawp API.

• install_agent_config: Auto-install .cursorrules and Wawp AI Skills into your project.

• generate_starter_code: Get ready-to-use Node.js or Python snippets.

• list_endpoints / get_endpoint_details: Explore the API documentation.

📄 License

MIT

Built with ❤️ by Wawp Team