Whatsapp Agent

1 Apache-2.0

FreeCommunity

AI Systems

#agents#agno#llm#llms#mcp#pydanticai

Minimal PydanticAI + WhatsApp MCP setup to get things running fast

What is Whatsapp Agent

whatsapp-agent is a minimal setup for integrating PydanticAI with WhatsApp MCP, designed to facilitate quick deployment and operation.

Use cases

Use cases for whatsapp-agent include building chatbots for customer service, sending notifications via WhatsApp, and automating responses to frequently asked questions.

How to use

To use whatsapp-agent, clone the repository and follow the examples provided in the README. You can implement your own agents using PydanticAI and Agno as reference.

Key features

Key features include a minimalistic design for fast setup, integration with PydanticAI for data validation, and compatibility with WhatsApp MCP for messaging capabilities.

Where to use

whatsapp-agent can be used in customer support, automated messaging systems, and any application that requires interaction through WhatsApp.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Whatsapp Agent

whatsapp-agent is a minimal setup for integrating PydanticAI with WhatsApp MCP, designed to facilitate quick deployment and operation.

Use cases

Use cases for whatsapp-agent include building chatbots for customer service, sending notifications via WhatsApp, and automating responses to frequently asked questions.

How to use

To use whatsapp-agent, clone the repository and follow the examples provided in the README. You can implement your own agents using PydanticAI and Agno as reference.

Key features

Key features include a minimalistic design for fast setup, integration with PydanticAI for data validation, and compatibility with WhatsApp MCP for messaging capabilities.

Where to use

whatsapp-agent can be used in customer support, automated messaging systems, and any application that requires interaction through WhatsApp.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

whatsapp-agent

Minimal Agents with WhatsApp MCP setup to get things running fast

Examples

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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