MCP Servers

Wawp MCP Server

Enables AI models to interact with WhatsApp instances through the Wawp API, allowing sending files, checking connection health, and making API requests.

Category

README

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"]
    }
  }
}

🔑 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

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