WhatsApp Web MCP Server
This MCP enables programmatic control of WhatsApp Web functionalities, including messaging, contact management, and group chat operations, integrated with AI workflows through a standardized protocol.
Added on:
Created by:
Apr 12 2025
This MCP enables programmatic control of WhatsApp Web functionalities, including messaging, contact management, and group chat operations, integrated with AI workflows through a standardized protocol.
Added on:
Created by:
Apr 12 2025
Philippe Nizer
Featured
What is WhatsApp Web MCP Server?
The WhatsApp Web MCP Server is a Node.js-based system that bridges WhatsApp Web with AI models using the Model Context Protocol (MCP). It provides a modular, flexible platform supporting direct web client interaction, REST API access, and webhooks, facilitating automation of messaging, group management, media handling, and contact search. The system supports multiple deployment modes, such as standalone MCP or API client mode, and offers tools for sending and retrieving messages, managing groups, and integrating with AI services. Its architecture is designed for developers looking to embed WhatsApp functionalities into AI-powered workflows, automation scripts, or custom applications, ensuring scalability and adaptability.
Who will use WhatsApp Web MCP Server?
- Developers integrating WhatsApp with AI
- Automation engineers
- Bot developers
- Research and data analysts working with messaging data
How to use the WhatsApp Web MCP Server?
- Step1: Clone the repository from GitHub
- Step2: Install dependencies and build the project
- Step3: Configure deployment mode and authentication options
- Step4: Run the MCP server using the appropriate command
- Step5: Use the available API endpoints or tools to interact with WhatsApp features
WhatsApp Web MCP Server's Core Features & Benefits
The Core Features
- Send and receive messages
- Manage contacts and search contacts
- Create and manage groups
- Send media messages
- Download media from messages
- Retrieve message history and chat data
- Support multiple deployment modes
The Benefits
- Automates WhatsApp messaging workflows
- Supports integration with AI language models
- Flexible deployment options for various environments
- Standardized interface through MCP
- Extensible with API and webhooks
WhatsApp Web MCP Server's Main Use Cases & Applications
- Automated customer support via WhatsApp
- AI-driven chatbots for group management
- Research data collection from messaging chats
- Integration of WhatsApp messaging into AI workflows
- Contact and group management automation
FAQs of WhatsApp Web MCP Server
Developer
- pnizer
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.
AI Chatbot
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.