WhatsApp MCP Assistant (Client-Server)
Most team communication work still happens through a UI a human drives. WhatsApp MCP Assistant (Client MCP server moves it into the conversation instead. WhatsApp MCP Assistant (Client-Server).
This project builds a client-server pipeline to send and schedule WhatsApp messages using natural language. The server interprets user intent with Mistral's LLM and uses Twilio to perform the actual WhatsApp messaging.
The server publishes 3 tools. What each one is for:
mcp_server.py — The main MCP server that uses Mistral for interpreting user input and calls Twilio to send messagesmcp_client.py — Simple CLI client for interacting with the server using free-form natural languageconfig.py — Stores API keys and constants including phone number configtwilio on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of team communication servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. WhatsApp MCP Assistant (Client's toolset — mcp_server.py, mcp_client.py, config.py — is a fair guide to whether it matches your workflow. It is maintained by Nirsisr; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| mcp_server.py | The main MCP server that uses Mistral for interpreting user input and calls Twilio to send messages. |
| mcp_client.py | Simple CLI client for interacting with the server using free-form natural language. |
| config.py | Stores API keys and constants including phone number config. |
{
"mcpServers": {
"mcpwhatsapp": {
"command": "uvx",
"args": ["twilio"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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