WhatsApp MCP Server — Connect AI agents to WhatsApp via Model Context Protocol. 61 tools, 10 resources, 12 real-time events. Supports Baileys (WhatsApp Web) and Cloud API. Built with TypeScript, BullMQ, and Docker.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"whatsapp": {
"env": {
"WA_REDIS_URL": "redis://localhost:6379",
"WA_TRANSPORT": "stdio"
},
"args": [
"path/to/wa-mcp/dist/index.js"
],
"command": "node"
}
}
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WA MCP is a WhatsApp MCP server built with TypeScript that gives AI agents full access to WhatsApp through the Model Context Protocol. It supports both Baileys (WhatsApp Web) and Meta Cloud API as dual-channel backends, deployable with Docker in a single command.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'tsc' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked tsc against OSV.dev.
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The first WhatsApp integration built natively for AI Agents.
Full MCP server exposing WhatsApp as discoverable tools, resources, and real-time notifications.
Quick Start • Features • Tools • Architecture • Configuration • Docker • Contributing
WA MCP is a WhatsApp MCP server built with TypeScript that gives AI agents full access to WhatsApp through the Model Context Protocol. It supports both Baileys (WhatsApp Web) and Meta Cloud API as dual-channel backends, deployable with Docker in a single command.
Your agent connects once and auto-discovers 63 tools, 10 resources, and 12 real-time events — zero configuration, zero REST wrappers, zero glue code.
Your AI Agent ←→ MCP Protocol ←→ WA MCP ←→ WhatsApp
Instead of writing HTTP clients, parsing webhook payloads, and mapping endpoints to tools manually — your agent just connects and goes. Works out of the box with Claude, Google ADK, LangChain, and any MCP-compatible AI agent framework.
💡 MCP (Model Context Protocol) is the open standard for connecting AI agents to tools and data. WA MCP speaks MCP natively via Streamable HTTP and stdio transports.
docker compose up
That's it. WA MCP + Redis, ready on http://localhost:3000/mcp.
# Prerequisites: Node.js >= 22, Redis running
npm install
cp .env.example .env
# Development (stdio transport)
npm run dev
# Production (HTTP transport)
npm run build && npm start
from google.adk.tools.mcp_tool import McpToolset
tools = McpToolset(url="http://localhost:3000/mcp")
# Agent auto-discovers 63 WhatsApp tools
# wa_create_instance, wa_send_text, wa_send_image, ...
from langchain_mcp import McpToolkit
toolkit = McpToolkit(server_url="http://localhost:3000/mcp")
tools = toolkit.get_tools()
Add to your claude_desktop_config.json:
{
"mcpServers": {
"whatsapp": {
"command": "node",
"args": ["path/to/wa-mcp/dist/index.js"],
"env": {
"WA_TRANSPORT": "stdio",
"WA_REDIS_URL": "redis://localhost:6379"
}
}
}
}
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