# whatsapp-mcp-plus

> whatsapp-mcp-plus — eeshsaxena-whatsapp-mcp-plus. Use this tool when you need to securely integrate WhatsApp functionality into AI assistants, enabling them to read, search, and summarize personal chats, and act on them with user confirmation. It solves problems of accessing and managing WhatsApp data in a safe and controlled manner, providing a reliable and maintained solution. Ideal for use cases requiring automated WhatsApp interaction, such as chatbots or virtual assistants, with a simple and secure interface for inputting user requests and outputting relevant chat data.

Canonical page: https://skillsregistry.net/skills/eeshsaxena-whatsapp-mcp-plus  
JSON: https://api.skillsregistry.net/v1/skills/eeshsaxena-whatsapp-mcp-plus

## Description

A secure, zero-setup WhatsApp MCP server that lets AI assistants read, search, summarize, and (with user confirmation) act on personal WhatsApp chats via a safety-focused toolset, built as a maintained successor to the abandoned whatsapp-mcp.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y15fs3fatu)
- **Repository:** <https://github.com/eeshsaxena/whatsapp-mcp-plus>

## 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": "eeshsaxena-whatsapp-mcp-plus"
    }
  }
}
```

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