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sjawhar

WhatsApp MCP Server

by sjawhar

WhatsApp MCP Server

A Model Context Protocol (MCP) server that connects to WhatsApp via Baileys, providing AI with the ability to manage WhatsApp. This is a security-hardened fork of karlfoster/whatsapp-mcp-2.0.

⚠️ WARNING

This project uses the UNOFFICIAL WhatsApp Web API (Baileys). WhatsApp may ban accounts using unofficial clients. USE A DEDICATED BURNER NUMBER — never use your personal number. The authors take no responsibility for account bans or any other consequences of using this software.

Related MCP server: WSAPI WhatsApp MCP Server

What This Is

This is a fork of karlfoster/whatsapp-mcp-2.0 with significant security hardening and operational improvements. It allows an AI assistant (like Claude) to:

  • List and search chats, contacts, and messages.

  • Send text messages and files (images, videos, documents, audio).

  • Download media from received messages.

  • Transcribe voice notes via Whisper-compatible APIs.

  • Sync phone contacts from VCF files.

Setup

  1. Clone the repository:

    git clone <repo-url>
    cd whatsapp-mcp
  2. Install dependencies:

    npm ci
  3. Configure environment variables: Create a .env file or set them in your MCP client configuration (see below).

  4. Run the server:

    npm run dev
  5. Scan the QR code: On first run, a QR code will appear in your terminal. Scan it with WhatsApp on your phone: WhatsApp > Settings > Linked Devices > Link a Device

Environment Variables

Variable

Default

Description

ALLOWED_SEND_DIR

./uploads/

Directory for outbound file sends.

MAX_SEND_FILE_SIZE

67108864 (64MB)

Max file size for send_file.

DOWNLOADS_DIR

./downloads/

Directory for downloaded media.

CONTACTS_DIR

./contacts/

Base directory for VCF imports.

WHISPER_API_URL

(none)

Whisper API endpoint for transcription.

WHISPER_API_KEY

(none)

API key for Whisper.

WHISPER_MODEL

whisper-large-v3-turbo

Model name for transcription.

ZOMBIE_TIMEOUT_MS

120000 (2min)

Silence before zombie connection detection.

MAX_SEND_FAILURES

3

Consecutive failures before reconnect.

MIN_SEND_INTERVAL_MS

3000 (3s)

Minimum delay between sends.

SEND_JITTER_MS

2000 (2s)

Random jitter added to send delay.

MAX_RECONNECT_ATTEMPTS

10

Max reconnect attempts before giving up.

Storage Locations

  • auth_info/: WhatsApp authentication credentials (DO NOT commit).

  • data/: SQLite database containing messages, chats, and contacts.

  • store/: Baileys message store and .whatsapp.lock file.

  • uploads/: Files to send (only files in this directory can be sent via send_file).

  • downloads/: Downloaded media files.

  • contacts/: VCF files for contact import.

Running Tests

This project uses Vitest for testing.

# Run all tests
npx vitest run

# Run tests with coverage
npx vitest run --coverage

Known Limitations

  • No FTS5: SQLite full-text search is not used; substring search (LIKE) is used instead.

  • No Read Receipts: The server does not send read receipts.

  • No Reactions: Message reactions are not supported.

  • No Stories: WhatsApp Stories/Status updates are not accessible.

Security Changes (What changed from upstream)

  • Path Traversal Protection: Strict containment checks for send_file and download_media using resolved paths.

  • SSRF Validation: WHISPER_API_URL is validated to prevent SSRF attacks (rejects localhost and private IP ranges).

  • Atomic Lock File: Prevents multiple instances from connecting to the same WhatsApp account simultaneously.

  • Strict Filename Sanitization: All filenames are sanitized to prevent injection and traversal.

  • Bounded Memory Caches: Prevents unbounded memory growth in Baileys message retry and device tracking.

  • Pre-key Pruning: Automatically prunes old pre-keys to prevent disk bloat.

  • Removed reply_spam: Removed the UAE-specific spam reply tool for better general-purpose use.

  • Streamed Uploads: send_file uses streams instead of loading full files into memory.

Available Tools

  • list_chats: List chats sorted by last activity.

  • get_chat: Get chat details with recent messages.

  • list_messages: Get messages from a chat.

  • search_messages: Substring search across messages.

  • search_contacts: Find contacts by name or phone number.

  • get_message_context: Get messages surrounding a specific message.

  • get_my_profile: Get your own JID and profile info.

  • update_contact: Update a contact's display name.

  • sync_contacts: Import phone contacts from a VCF file.

  • send_message: Send a text message (requires confirmation).

  • send_file: Send a media file (requires confirmation).

  • delete_message: Delete a message (requires confirmation).

  • delete_chat: Delete an entire chat (requires confirmation).

  • download_media: Download media from a message to disk.

  • transcribe_voice_note: Transcribe a voice note to text.

License

MIT

Related MCP Connectors

  • WhatsApp CRM for AI agents: search contacts, read chats, manage the sales pipeline, send messages.

  • WhatsMCP connects Claude and other MCP-compatible AI agents directly to WhatsApp. Send and receive text, images, documents, and voice notes; manage groups (create, add/remove members, promote admins); look up contacts and profiles; follow channels; and read call and message history — all through a standard MCP interface. For voice use cases, WhatsMCP offers SIP-based calling plans (inbound-only, or full inbound/outbound) so AI voice agents can answer and place WhatsApp calls, plus low-latency WebSocket integrations with voice agent providers like ElevenLabs. Multiple WhatsApp accounts can be paired and managed per workspace, with webhook support for real-time inbound message delivery to your own infrastructure.

  • Drive WhatsApp from any MCP client: pair devices, send text and media, manage contacts and groups.

  • Give your AI agents a real WhatsApp number to send and receive messages.

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