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WhatsApp MCP Server with Wati API

@wati-io

Repository

Basic information

Category

Developer Tools

Last updated

License

MIT license

Transports

stdio

Author

wati-io

About WhatsApp MCP Server with Wati API

No overview available yet

WhatsApp MCP Server with Wati API config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "whatsapp-api-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@wati-io/whatsapp-api-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

WhatsApp MCP Server with Wati API tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is WhatsApp MCP Server with Wati API?

This is a Model Context Protocol (MCP) server for WhatsApp using the Wati API. It lets you search and read messages, search contacts, and send messages (including media) to individuals. It integrates with the official Wati API and is designed for use with AI assistants like Claude Desktop or Cursor.

How to use WhatsApp MCP Server with Wati API?

Install prerequisites (Python 3.6+, UV, Wati API access), clone the repository, configure a .env file with your Wati API credentials (WATI_API_BASE_URL, WATI_TENANT_ID, WATI_AUTH_TOKEN), then add the server configuration to Claude Desktop’s claude_desktop_config.json or Cursor’s mcp.json. Restart the client to interact with WhatsApp through the provided MCP tools.

Key features of WhatsApp MCP Server with Wati API?

  • Search contacts by name or phone number
  • Retrieve messages with optional filters
  • Send text messages and media files (images, videos, documents, audio)
  • Download media from received messages
  • Send interactive buttons for structured responses
  • List and inspect chats with metadata

Use cases of WhatsApp MCP Server with Wati API?

  • An AI assistant that reads and responds to customer inquiries on WhatsApp
  • Automating order confirmations with interactive reply buttons
  • Sending media updates (e.g., product images) to contacts
  • Searching for a contact’s recent conversations for context
  • Scheduling and sending bulk audio messages

Frequently asked questions

1

What are the prerequisites to run this server?

Python 3.6+, the UV package manager, Claude Desktop or Cursor, and a Wati API account with a tenant ID and authentication token.

2

How do I get Wati API credentials?

You need a Wati account. Set your `WATI_API_BASE_URL`, `WATI_TENANT_ID`, and `WATI_AUTH_TOKEN` in the `.env` file as described in the installation steps.

3

Does the server store my WhatsApp messages locally?

No. Messages are fetched from the Wati API only when accessed through MCP tools; they are not stored persistently by the server.

4

What media types can I send via this server?

You can send images, videos, documents, and audio files using the `send_file` and `send_audio_message` tools.

5

Are there any rate limits I should be aware of?

Yes, the Wati API may impose rate limits. If you encounter them, you may need to wait or contact Wati support.

Comments

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