"WhatsApp MCP (Model Context Protocol) Integration" matching MCP servers:

A Python-based server for managing and analyzing code context for AI-assisted development. Provides real-time code analysis, project structure analysis, dependency tracking, and secure API endpoints.

Summarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.

An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

MCP server for sending and reading WhatsApp messages through Claude, with human approval on sends and no auto-replies.

A conversational application server that integrates LLM capabilities via Ollama with vector memory context, supporting multiple users, sessions, automatic history summarization, and a plugin system for executing real actions.

Single-binary Go MCP server that wraps whatsmeow to expose a personal WhatsApp account as 41 MCP tools (messaging, groups, polls, media, privacy).

MCP server that gives AI agents read and write access to WhatsApp on macOS, reading local chat history offline and sending messages via pre-filled drafts with explicit user confirmation.

Lets you read WhatsApp history from the macOS app's own SQLite database without QR pairing or ban risk, with optional token-gated replying.

Enables sending messages, images, documents and more on WhatsApp directly from any MCP-compatible AI, with tools for chat management, groups, and webhooks.

A Model Context Protocol server that connects your personal WhatsApp account to AI agents like Claude, enabling them to search messages, view contacts, retrieve chat history, and send messages via WhatsApp.

Enables Claude to read, search, and reply to your personal WhatsApp messages by linking as an extra device, with support for chat history, full-text search, media downloads, and sending messages or files.

Enables Claude to interact with WhatsApp: read chats, search messages, send messages with a mandatory confirmation step, and transcribe voice notes locally, all with encrypted storage and prompt-injection scrubbing.

Enables pushing WhatsApp messages into a running Claude Code session, allowing users to reply and approve or deny tool requests from their phone.

Enables MCP clients to list, read, search, and send WhatsApp messages via a persistent WebSocket connection with local SQLite storage.

Enables AI agents to send WhatsApp notifications to their owner and read the owner's replies through a local gateway, without requiring the Meta Business API.

Enables AI assistants to read WhatsApp chat history from a SQLite archive, optionally scrape live chats, and send messages through a chain of safety guards.

Enables sending WhatsApp messages from MCP clients using a personal WhatsApp account via WebSocket protocol, without needing the Business API or browser automation.

Send WhatsApp messages from your own personal number via AI assistant, with confirm-before-send and ability to read and summarize recent chats.

An MCP server that connects Claude to WhatsApp for reading group messages, searching conversations, and sending messages. It includes advanced tools for analyzing group activity patterns, member statistics, and syncing message history.

Enables agents and MCP clients to read and send WhatsApp messages and media, search chats, and manage contacts and groups after a one-time QR pairing.