# TimelinesAI WhatsApp

> Use this tool when you need to manage your WhatsApp inbox and automate customer interactions. It solves problems such as manually responding to messages, keeping track of conversation history, and assigning tasks to teammates. The tool takes in WhatsApp inbox data as input and outputs automated message sending, chat listing, and labeling capabilities through the Claude interface.

Canonical page: https://skillsregistry.net/skills/initechsoftware-whatsapp-mcp-by-timelinesai  
JSON: https://api.skillsregistry.net/v1/skills/initechsoftware-whatsapp-mcp-by-timelinesai

## Description

Connect your TimelinesAI WhatsApp inbox to Claude. List chats, read history, send messages, react, label, assign teammates — all as you, in production.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uuiq1v9k6u)
- **Repository:** <https://github.com/InitechSoftware/whatsapp-mcp-by-timelinesai>

## 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": "initechsoftware-whatsapp-mcp-by-timelinesai"
    }
  }
}
```

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