# WhatsApp

> Use this tool when you need to integrate WhatsApp functionality into a local application, enabling secure and private messaging with features like chat search and media downloads. It solves problems related to data privacy and messaging automation by storing data locally and providing fine-grained control over message sending. Ideal for use cases requiring private and customizable WhatsApp account management, with inputs including QR code pairing and HTTP requests, and outputs including conversation history and media files.

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

## Description

This Go MCP server enables local WhatsApp account integration through QR code pairing. Messages and media are stored in a local SQLite database, and access is provided via HTTP transport. Features include chat search, conversation history retrieval, media downloads, and message sending with per-chat allowlisting for privacy control. All data stays on the user's device.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/caglayan-whatsapp)
- **Repository:** <https://github.com/caglayan/whatsapp-mcp-server>

## 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": "caglayan-whatsapp"
    }
  }
}
```

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