# WhatsApp Web

> Use this tool when you need to automate interactions with WhatsApp users or integrate WhatsApp functionality into AI models, solving problems such as complex API interactions and enabling seamless communication. It provides a standardized interface for sending and receiving messages, managing contacts, and searching conversations, with flexible deployment options through SSE or Command modes. Ideal for AI assistants, it offers a bridge between WhatsApp Web and AI models, streamlining interactions and reducing development complexity.

Canonical page: https://skillsregistry.net/skills/pnizer-whatsapp-web  
JSON: https://api.skillsregistry.net/v1/skills/pnizer-whatsapp-web

## Description

WhatsApp Web MCP provides a bridge between WhatsApp Web and AI models, enabling automated interactions with WhatsApp through a standardized interface. Developed by Philippe Nizer, it offers both direct WhatsApp client integration and API-based connectivity, with flexible deployment options through SSE or Command modes. The implementation includes core features like sending/receiving messages, managing contacts, creating groups, and searching conversations, making it particularly valuable for AI assistants that need to interact with WhatsApp without requiring users to implement complex API interactions themselves.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pnizer-whatsapp-web)
- **Repository:** <https://github.com/pnizer/wweb-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": "pnizer-whatsapp-web"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pnizer-whatsapp-web` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pnizer-whatsapp-web/pull`

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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