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Whatsapp Plus

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A secure, zero-setup WhatsApp MCP server that lets AI assistants read, search, summarize, and (with user confirmation) act on personal WhatsApp chats via a safe

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A secure, zero-setup WhatsApp MCP server that lets AI assistants read, search, summarize, and (with user confirmation) act on personal WhatsApp chats via a safety-focused toolset, built as a maintained successor to the abandoned whatsapp-mcp.

README

A secure, zero-setup WhatsApp MCP server. Read-first and safe by default.

It connects your personal WhatsApp to an MCP client (Claude Desktop, Cursor, Claude Code) so your AI can search, read, summarize, and, when you allow it, act on your WhatsApp, with guardrails that keep your account safe.

This is a maintained, single-binary successor to the (now abandoned) lharries/whatsapp-mcp, rebuilt in TypeScript on Baileys with a safety layer it never had.

⚠️ Read the account-safety disclaimer before using. This uses an unofficial WhatsApp client. Used carelessly it can get your number banned. This tool is designed to minimize that risk, but cannot eliminate it.

WhatsApp Rewind, from your own chats

Ask your AI for whatsapp_rewind to generate a Spotify-Wrapped-style set of story cards (1080×1920 SVG) from your history, cover, top people, your daily rhythm, top emojis, reply-speed leaderboard, and by-the-numbers:

Rewind cover Top people Your rhythm Reply speed

Prefer a single card? wrapped_card writes one shareable SVG; whatsapp_wrapped prints a terminal card. Also: response_leaderboard (who you reply to fastest / leave on read longest), chat_stats (per-chat, with reply times), top_words, and export_chat.

Why this instead of the original

original (abandoned) whatsapp-mcp-plus
Setup Go bridge + Python server, hand-edited config, CGO on Windows single Node process, one command
Safety none (README even warns about the hole) read-only default, allowlist, rate limits, confirm-to-send, injection guard
Tools 12 (read + basic send) 51 (react, reply, edit, delete, groups, presence, polls, transcription, analytics, chat mgmt)
Native deps go-sqlite3 (needs a C compiler) none — uses Node's built-in node:sqlite
Maintained last commit Jul 2025 yes

Quick start

npx whatsapp-mcp-plus

On first run it prints a QR code in your terminal. Open WhatsApp on your phone → Settings → Linked Devices → Link a device and scan it. Your recent history syncs into a local SQLite database. Nothing leaves your machine except what the AI explicitly reads through a tool call.

Or with Docker (both the connection and the server in one container):

docker build -t whatsapp-mcp-plus .
docker run -it -v wamcp-data:/app/data -v wamcp-auth:/app/auth_info whatsapp-mcp-plus

See the analytics without pairing

Want to see what whatsapp_wrapped and response_leaderboard produce? Run the demo, it seeds a sample database and prints the real tool output:

npm run demo

Wire it into your MCP client

{
  "mcpServers": {
    "whatsapp": {
      "command": "npx",
      "args": ["-y", "whatsapp-mcp-plus"],
      "env": { "WAMCP_MODE": "read-only" }
    }
  }
}
  • Claude Desktop: claude_desktop_config.json
  • Cursor: ~/.cursor/mcp.json

Safety model (safe by default)

WhatsApp bans are mostly behavioral. Reading is low-risk; cold or bulk sending is high-risk. Defaults are tuned to keep you in the safe zone.

Modes (WAMCP_MODE):

  • read-only (default) — every write tool is blocked. Search/read/analyze only.
  • assisted — sending allowed, but gated by allowlist + rate limits + confirm.
  • unrestricted — rails off (opt-in, not recommended).

Rails (on by default outside unrestricted):

  • Allowlist — you can only message existing contacts or people who messaged you first (messaging strangers is the #1 ban trigger). Override per-contact with the allowlist_add tool.
  • Rate limiting — per-minute + per-day caps and a human-like gap+jitter between sends.
  • Confirm-to-send — a send returns a token and waits; nothing goes out until you call confirm_action. This stops a prompt-injected message from firing.
  • Injection guard — incoming messages that look like instructions aimed at an AI are flagged so the model treats them as data, not commands.

Every knob is an env var: WAMCP_ALLOWLIST_ONLY, WAMCP_REQUIRE_CONFIRM, WAMCP_RATE_PER_MINUTE, WAMCP_RATE_PER_DAY, WAMCP_MIN_GAP_MS, WAMCP_JITTER_MS.

Tools

51 tools (the abandoned original had 12):

Read: search_contacts, list_chats, list_groups, get_chat, list_messages (with date range), get_last_interaction, contact_info, get_message_context, search_messages Send: send_message (with reply), send_file, send_voice_note, send_location, send_poll, send_contact Message actions: react_to_message, edit_message, delete_message, mark_read, forward_message, star_message Groups: group_info, create_group, group_update_participants, group_set_subject, group_set_description, group_invite_link, group_leave Chat management: pin_chat, mute_chat, block_contact, check_number_on_whatsapp, get_profile_picture Presence / profile: send_presence, set_profile_status, set_profile_name Media / intelligence: download_media, transcribe_voice_message Analytics: whatsapp_rewind (6-card story set), wrapped_card (single shareable SVG), whatsapp_wrapped (terminal card), response_leaderboard (who you reply to fastest / leave on read longest), top_words, chat_stats (per-chat, incl. response times), export_chat (markdown/text transcript) Control: get_status, get_me, set_mode, confirm_action, allowlist_add/remove/list

Voice transcription

transcribe_voice_message downloads a voice note and, if you set WAMCP_TRANSCRIPTION_CMD (a command containing {input} that prints a transcript), runs it through your STT of choice (e.g. whisper). Without it, the audio is still downloaded and its path returned.

Configuration reference

Env var Default Meaning
WAMCP_MODE read-only read-only | assisted | unrestricted
WAMCP_DATA_DIR ./data SQLite DB + logs + downloaded media
WAMCP_AUTH_DIR ./auth_info WhatsApp pairing credentials
WAMCP_ALLOWLIST_ONLY on (safe modes) restrict sends to known recipients
WAMCP_REQUIRE_CONFIRM on (safe modes) two-step confirm before sending
WAMCP_RATE_PER_MINUTE 8 max sends / minute
WAMCP_RATE_PER_DAY 200 max sends / day
WAMCP_TRANSCRIPTION_CMD (none) STT command template with {input}
WAMCP_SEND_FILE_ROOTS (none) restrict which dirs files can be sent from (anti-exfiltration)

Account safety & Terms of Service

This project uses Baileys, an unofficial WhatsApp Web client. Automating a personal WhatsApp account is against WhatsApp's Terms of Service and can result in your number being temporarily or permanently banned. To reduce that risk:

  • Keep the default read-only mode unless you truly need to send.
  • Never use it for cold outreach, bulk, or identical/spam messages.
  • Prefer an established, well-used number over a fresh SIM; avoid VOIP numbers.
  • Treat it as a personal assistant, not a marketing tool.

You accept this risk by using the tool. It is provided as-is, for personal and educational use, with no warranty. Not affiliated with WhatsApp or Meta.

Credits

Derived from whatsapp-mcp-ts (ISC) and whatsapp-mcp (MIT). See NOTICE. MIT licensed.

from github.com/eeshsaxena/whatsapp-mcp-plus

Install Whatsapp Plus in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install whatsapp-mcp-plus

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add whatsapp-mcp-plus -- npx -y github:eeshsaxena/whatsapp-mcp-plus

Step-by-step: how to install Whatsapp Plus

FAQ

Is Whatsapp Plus MCP free?

Yes, Whatsapp Plus MCP is free — one-click install via Unyly at no cost.

Does Whatsapp Plus need an API key?

No, Whatsapp Plus runs without API keys or environment variables.

Is Whatsapp Plus hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Whatsapp Plus in Claude Desktop, Claude Code or Cursor?

Open Whatsapp Plus on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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