OWL x WhatsApp MCP Server
by Bipul70701
This application integrates the WhatsApp MCP server with the OWL multi-agent framework, enabling AI agents to interact with your WhatsApp data through a Streamlit interface. It leverages CAMEL-AI and OWL frameworks for dynamic agent interactions and task automation.
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What is OWL x WhatsApp MCP Server?
The OWL x WhatsApp MCP Server is an application that combines the WhatsApp MCP server with the OWL multi-agent framework. This allows AI agents to access and interact with WhatsApp data, including sending and receiving messages, through a Streamlit-based user interface.
How to use OWL x WhatsApp MCP Server?
To use this server, first clone the repository, create and activate a virtual environment, and install the dependencies. Configure the environment variables and ensure the WhatsApp MCP server is properly set up and running. Finally, run the Streamlit app using the command streamlit run project.py.
Key features of OWL x WhatsApp MCP Server
Multi-Agent Collaboration
WhatsApp Integration
Message Dispatch
Real-Time Information Retrieval
Streamlit Interface
Use cases of OWL x WhatsApp MCP Server
Automated customer support via WhatsApp
AI-powered task management using WhatsApp messages
Real-time information retrieval and sharing within WhatsApp groups
Personalized notifications and reminders through WhatsApp
FAQ from OWL x WhatsApp MCP Server
What is CAMEL-AI?
What is CAMEL-AI?
CAMEL-AI is a framework for designing and managing autonomous agents.
What is OWL?
What is OWL?
OWL (Optimized Workforce Learning) is a framework for real-time task management and collaboration.
What is MCPToolkit?
What is MCPToolkit?
MCPToolkit facilitates interaction with WhatsApp data.
What is SearchToolkit?
What is SearchToolkit?
SearchToolkit enables web search capabilities.
What is Streamlit?
What is Streamlit?
Streamlit provides an interactive web interface for user interaction.