# whatsapp-mcp

> whatsapp-mcp — moonslayers-whatsapp-cdp-mcp. Use this tool when you need to automate interactions with WhatsApp Desktop, such as listing chats, reading messages, or sending messages with simulated typing. It solves problems like automating customer support or messaging workflows by controlling WhatsApp via the Chrome DevTools Protocol. The tool takes user session inputs and outputs controlled WhatsApp actions, making it ideal for use cases requiring automated WhatsApp interaction with rate limiting and simulated user behavior.

Canonical page: https://skillsregistry.net/skills/moonslayers-whatsapp-cdp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/moonslayers-whatsapp-cdp-mcp

## Description

MCP server that controls WhatsApp Desktop via Chrome DevTools Protocol using the user's real session, enabling tools to list chats, read messages, search contacts, and send messages with simulated typing and rate limiting.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f9w5481x2b)
- **Repository:** <https://github.com/moonslayers/whatsapp-cdp-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "moonslayers-whatsapp-cdp-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/moonslayers-whatsapp-cdp-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/moonslayers-whatsapp-cdp-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
