About 🤖 WhatsApp Agent
WhatsApp Agent is a LangGraph assistant that uses LLM tool calling for context-aware message automation with a local WhatsApp MCP server. The README provides setup and launch instructions but does not describe specific tools or message workflows.
Key features
- 01LangGraph assistant
- 02LLM tool calling
- 03Local WhatsApp MCP server integration
Use cases
- 01Context-aware WhatsApp message automation
- 02Running the assistant with `uv run main.py`
MCP support
The assistant integrates with a local WhatsApp MCP server for context-aware message automation. The README does not specify the server's exposed tools.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README🤖 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.