This MCP provides a comprehensive interface to interact with WhatsApp through MCP server. It enables searching contacts, sending messages, retrieving chat histories, downloading media files, and managing conversations efficiently.
Added on:
Created by:
Apr 20 2025
This MCP provides a comprehensive interface to interact with WhatsApp through MCP server. It enables searching contacts, sending messages, retrieving chat histories, downloading media files, and managing conversations efficiently.
Added on:
Created by:
Apr 20 2025
Aasher Kamal
Featured
What is WhatsApp Agent?
The WhatsApp MCP agent allows users to perform various actions on WhatsApp automatically. It can search for contacts by name or phone number, list and retrieve messages, fetch chat details, send text messages or media files, and download media from messages. This enables seamless integration of WhatsApp functionalities into automated workflows or applications. By connecting with the MCP server, it offers tools for both sending and receiving content, managing conversations, and accessing historical chat data, making it ideal for customer support, automation, and data collection purposes.
Who will use WhatsApp Agent?
- Developers integrating WhatsApp automation
- Customer support teams
- Businesses automating messaging workflows
- Researchers analyzing chat data
- Individuals managing multiple contacts
How to use the WhatsApp Agent?
- Step1: Clone the repository from GitHub.
- Step2: Set up the environment and install dependencies.
- Step3: Configure environment variables with your credentials.
- Step4: Run the application using uv command.
- Step5: Use the provided functions to search contacts, send messages, or retrieve data.
WhatsApp Agent's Core Features & Benefits
The Core Features
- search_contacts
- list_messages
- list_chats
- get_chat
- get_direct_chat_by_contact
- get_contact_chats
- get_last_interaction
- get_message_context
- send_message
- send_file
- send_audio_message
- download_media
The Benefits
- Automates WhatsApp communication workflows
- Enables bulk messaging and media sharing
- Provides easy access to chat and contact data
- Supports multimedia content transfer
- Integrates with other automation tools
WhatsApp Agent's Main Use Cases & Applications
- Automated customer service via WhatsApp
- Bulk message broadcasting for marketing
- Chat data analysis and research
- Automated notification and alert systems
- Media management in chat groups
FAQs of WhatsApp Agent
Developer
- aasherkamal216
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Communication
A server that leverages AI and WhatsApp API to enhance messaging capabilities and automation.
A server integrating LINE Messaging API to connect AI Agents with LINE Official Accounts, enabling message exchange and user profile retrieval.
A server that manages airtime top-ups and transactions using Africa's Talking API for multiple African countries.
A server implementation for MCP with HTTP interface, providing core communication functionalities.
A Python-based client facilitating communication between various components via messaging protocols.
A protocol to enable AI-driven operations and integrations within Chatwork via customizable MCP configurations.
A Python-based MCP that integrates a Gemini client with an MCP server to facilitate communication and data exchange.
Enables DingTalk integration by implementing MCP for communication, data exchange, and automation within DingTalk ecosystem.
A customized MCP client designed for study, based on dolphin-mcp, supporting resource management and communication.
A Python-based MCP server managing remote procedure calls and server-client communication for modular applications.