🤖 WhatsApp Agent
About
This project creates a LangGraph assistant using tool-calling supported by LLM, integrated with a local WhatsApp Mcp server for context-aware message automation.
Details
- Author
- SadineniAbhi
- Downloads
- 338
- Categories
- AI, Automation
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
🤖 WhatsApp AgentCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, install the uv runtime if not already installed, and run the agent with `
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"\ud83e\udd16 whatsapp agent": {
"whatsapp-agent": {
"command": "uv",
"args": [
"run",
"main.py"
]
}
}
}
}McpServers
{
"whatsapp-agent": {
"command": "uv",
"args": [
"run",
"main.py"
]
}
}🤖 WhatsApp Agent
This project creates a LangGraph assistant using tool-calling LLM, integrated with a local WhatsApp Mcp server for context-aware message automation.
---
🚀 Getting Started
1. Clone the Repository
git clone https://github.com/SadineniAbhi/whatsapp-agent.git
cd whatsapp-agent
2. Run the App
uv run main.py
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