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MCP (Model Context Protocol)

Connect your AI tools to Whapi using MCP

The Model Context Protocol (MCP) is an emerging open standard that lets AI agents securely access tools, APIs, and external data through a unified interface. Instead of writing custom integrations or backend logic, MCP bridges your local or cloud tools directly to the AI model — giving it controlled, structured access to real-world functions. When combined with Whapi.Cloud’s WhatsApp API, MCP enables agents to send messages, manage groups, post to channels, or trigger workflows instantly. It transforms WhatsApp automation from code-heavy development into a plug-and-run experience.

In short, MCP brings the missing layer of intelligence between your AI agent and Whapi’s powerful WhatsApp API — letting you build, test, and scale automations faster than ever.

Quick start

Requires Node.js 18+.

Install and run via NPX:

npx -y whapi-mcp@latest

Or set your Whapi API token and run:

# PowerShell
$env:API_TOKEN="YOUR_TOKEN"; npx -y whapi-mcp@latest

Using with MCP clients

  • Cursor: add to %USERPROFILE%.cursor\mcp.json

{
  "mcpServers": {
    "whapi-mcp": {
      "command": "npx",
      "args": ["-y", "whapi-mcp@latest"],
      "env": { "API_TOKEN": "YOUR_TOKEN" }
    }
  }
}

  • Claude Desktop: add to %APPDATA%\Claude\claude_desktop_config.json (same structure as above).

Tools

The server exposes tools generated from Whapi OpenAPI. Example:

  • sendMessageText (required: to, body)

Example call (pseudo):

Agent Skill available

If you use AI coding agents (Cursor, Claude Code, GitHub Copilot, etc.), install the Whapi Agent Skill alongside the MCP server. It provides your agent with accurate reference material

Learn more →

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