# WhatsApp MCP Server (Docker Edition)

> Use this tool when you need to integrate WhatsApp functionality into AI applications, enabling features like contact searching, message sending and receiving, and chat management. It solves problems of automated WhatsApp interaction, providing a scalable and containerized solution. The tool accepts HTTP and SSE inputs and outputs WhatsApp data, ideal for use cases requiring programmatic WhatsApp access.

Canonical page: https://skillsregistry.net/skills/abrauser-whatsapp-mcp-docker  
JSON: https://api.skillsregistry.net/v1/skills/abrauser-whatsapp-mcp-docker

## Description

Enables AI clients to interact with WhatsApp via MCP tools for searching contacts, sending/receiving messages, and managing chats, running in a Docker container with HTTP/SSE transport.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g3adm2opdm)
- **Repository:** <https://github.com/ABrauser/whatsapp-mcp-docker>

## 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": "abrauser-whatsapp-mcp-docker"
    }
  }
}
```

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