WhatsApp for your AI agent. MCP server over Baileys: pairing-code login, 22 tools, 5 agent skills, stdio or token-protected HTTP.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add wazap -- npx -y wazap-mcp{
"mcpServers": {
"wazap": {
"command": "npx",
"args": ["-y", "wazap-mcp"]
}
}
}MCP Servers overview
``` ╭───────────────╮ │ ▄██▀ │ ██╗ ██╗ █████╗ ███████╗ █████╗ ██████╗ │ ▄██▀ │ ██║ ██║██╔══██╗╚══███╔╝██╔══██╗██╔══██╗ │ ▄███████▀ │ ██║ █╗ ██║███████║ ███╔╝ ███████║██████╔╝ │ ▄██▀ │ ██║███╗██║██╔══██║ ███╔╝ ██╔══██║██╔═══╝ │ ▄█▀ │ ╚███╔███╔╝██║ ██║███████╗██║ ██║██║ ╰─╮╭────────────╯ ╚══╝╚══╝ ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═╝ ╰╯ WhatsApp for your AI agent. ``` [](https://m8ven.ai/mcp/razvangirgiz/wazap) **WhatsApp for your AI assistant.** wazap is an MCP server that puts your own WhatsApp account — chats, messages, media, contacts, groups — behind 21 tools any MCP client can call, so Claude, ChatGPT, Gemini, Cursor or Codex can read your inbox and draft your replies. ## What it does It links your account as a linked device, the way WhatsApp Web does, and keeps what it sees on this machine. Then you talk to your assistant instead of to a tool: - *"What did I miss on WhatsApp today?"* — one answer across every linked account: who is waiting on a reply, mentions, missed calls, groups condensed. - *"Find the invoice Dan sent in spring."* — search by meaning and by words at once, then open the file. - *"What did the voice note from mama say?"* — voice messages come back as text. - *"Tell Ana I'll be twenty minutes late."* — the assistant shows you the recipient and the exact words, and nothing leaves until you say yes. Built on [Baileys](https://github.com/WhiskeySockets/Baileys), which speaks the WhatsApp multi-device protocol over a WebSocket. No browser, no phone-number reseller, no account with us — there is no us: wazap runs on your machine. ## Get started The npm package is `wazap-mcp`; the command it installs is `wazap`. ```bash npx wazap-mcp setup ``` That is the whole install. It links your account, finds the MCP clients installed on this machine, writes their config, copies the five skills where that client reads them, and tells you what to restart. Or have your agent do it. Paste this: *Set up WhatsApp for me: run `npx wazap-mcp setup --agent` and follow what it prints.* Then ask your assistant: *"what did I miss on WhatsApp today?"* ### Or the path your harness prefers | Harness | Fastest path | | --- | --- | | Claude Code | `/plugin marketplace add razvangirgiz/wazap`, then `/plugin install wazap@wazap` | | Claude Desktop | download `wazap-<version>.mcpb` from [Releases](https://github.com/razvangirgiz/wazap/releases) and double-click it | | Gemini CLI | `npx wazap-mcp connect gemini` | | Cursor | the [Install in Cursor](docs/install.md#other-mcp-clients) badge, then `npx wazap-mcp skills install cursor` | | Codex CLI | `npx wazap-mcp connect codex`, then `npx wazap-mcp skills install codex` | | A hosted agent (claude.ai, ChatGPT) | a URL it signs in to: [Keep it running](docs/install.md#keep-it-running) | | Anything else | the MCP entry `npx -y wazap-mcp` over stdio | [](cursor://anysphere.cursor-deeplink/mcp/install?name=whatsapp&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIndhemFwLW1jcCJdfQ) Each local harness registers the server; a hosted agent gets a URL. Linking the WhatsApp account is a separate, one-time step: `npx wazap-mcp login`, which shows a QR code to scan from **Settings → Linked devices → Link a device**, or prints an 8-character code with `--phone +15550100`. `npx wazap-mcp` on its own is safe to run: it prints where you stand and what to do next, and starts no server. When something is off, `npx wazap-mcp status` is the first thing to run — and it is what tells you if the Node you have is too old: wazap needs 22.16 or newer on the 22 line, or 24. Every step `setup` takes, every client it can write, the background service and the upgrade command are in **[docs/install.md](docs/install.md)**. ## The 21 tools Each one in a line. What every argument means, the workflows behind them and every error code are in **[docs/tools.md](docs/tools.md)**; the assistant itself gets all of it by calling `learn` first. | Tool | Kind | What it does | | --- | --- | --- | | `learn` | read | The guide to every tool, id format and error code. Call it first. | | `get_status` | read | Connection, sync, linked accounts, how fresh the history is, webhook delivery, versions. | | `link_account` | read | Pair an account from the assistant; returns the 8-character code to type into the phone. | | `list_chats` | read | Conversations newest-first: `all`, `unread`, `groups`, `individual` or `archived`. | | `read_messages` | read | Messages in a chat, paging back into the phone's history; `chat_id: "status"` reads the stories. | | `catch_up` | read | "What did I miss?" across every account, in one call and within a token budget. | | `search` | read | Messages by meaning and by words at once, narrowed by chat, sender or date. | | `get_message` | read | One message in full: its quote, each reaction with who left it, poll votes, delivery and read receipts. | | `find_contact` | read | Who "mama", a nickname, a group name or a number means, before anything is drafted. | | `list_contacts` | read | The phone's address book a page at a time: saved name, number, and when you last talked. | | `get_group_info` | read | Participants, admins, who may post or edit, join requests, invite link. | | `get_media` | read | A message's media: a voice note as its transcript, a photo as an image, any file saved to disk. | | `wait_for_messages` | read | Block up to 55 s until a message arrives, then return it with a cursor for the next call. | | `remember` | local | Keep a note, tags and details about a person, on this machine only. Nothing changes on WhatsApp. | | `send_message` | write | Draft a message, media, poll, location or forward — and send nothing. | | `confirm_send` | write | Send that draft, once, after the user has seen the preview and said yes. | | `edit_message` | write | Edit your own message, within WhatsApp's 15-minute window. | | `react_to_message` | write | Add or remove an emoji reaction. | | `delete_message` | write | Retract your own message for everyone, or delete any message for this account only. | | `manage_chat` | write | Archive, pin, mute, mark read or unread, star, clear, delete, block. | | `manage_group` | write | Create, join, rename, add, remove, promote, invite links, join requests, settings. | Voice messages become text when you switch transcription on ([docs/voice.md](docs/voice.md)), and `search` matches meaning as well as words when you switch semantic recall on ([docs/recall.md](docs/recall.md)). Both are off by default and both can run entirely on this machine. ## Security and privacy - **Nothing is sent without your yes.** `send_message` only drafts: it returns the recipient and the exact text and touches no network. Only `confirm_send` sends, and a draft goes out at most once, even across a crash. Draft-then- confirm is a workflow, not independent proof of consent: an agent can call both tools unless the harness makes you approve the second one. - **Read-only is a real switch.** With `WAZAP_READ_ONLY=1`, or `wazap config writes off`, the write tools are not registered at all — the assistant never sees them, so it cannot message anyone from your number even by mistake. The Claude Desktop bundle ships read-only ticked. - **Who an account may message** can be pinned to a list: `wazap config send allow +15550100,…`, or `deny` for the reverse. The rules are checked when a message is drafted and again when it is confirmed ([docs/send-rules.md](docs/send-rules.md)). - **Writes are rate limited** to 20 a minute per account, because sending faster than a human is how accounts get banned. - **The data stays here.** Credentials, messages, media and notes live in `~/.wazap`, `0700`, with credentials `0600`. There is no wazap account, no server of ours and no telemetry. What does leave the machine: WhatsApp itself; the npm registry, for the version check; Hugging Face, when you ask for a transcription or embedding model; the transcription API, only if you chose the `openai` provider instead of the local one; and your own webhook URL, if you configured one ([docs/data.md](docs/data.md)). - **Some people can be kept out of it.** Tag someone `#private` and their words stay out of everything the assistant did not ask about them by name, and the outbound webhook never posts them. Tag them `#no-catchup` and their chat is skipped entirely. - **What it does not do.** There is no bulk send, no scheduler and no campaign tool. It never marks anything read on WhatsApp on its own. Text it sends goes out without a link preview, and nothing — not wazap, not Baileys — fetches the page. Findings, threat model and the limits of each of these are in [docs/security-audit.md](docs/security-audit.md). ## Known limitations - **The protocol is unofficial.** wazap talks to WhatsApp through [Baileys](https://github.com/WhiskeySockets/Baileys), a reverse-engineered implementation of the WhatsApp multi-device protocol. This is not the WhatsApp Business API, Meta does not support it, and WhatsApp can change the protocol without warning — a change can break wazap until Baileys catches up. An account that sends in bulk, or sends to people who did not ask to hear from it, can be restricted or banned, and that is not recoverable from here. What wazap does about it is the whole of the section above: sends are drafted and confirmed one at a time, writes are capped at 20 a minute per account, an account can be locked to a list of recipients or to reading only, and there is no bulk or scheduled send to reach for. None of that is a guarantee, and the risk is yours. - **How a model behaves with the tools is measured on Claude only.** The evaluation of how an assistant uses them (`eval/`: 58 cases, each run three times, with the sends th
What people ask about wazap
What is razvangirgiz/wazap?
+
razvangirgiz/wazap is mcp servers for the Claude AI ecosystem. WhatsApp for your AI agent. MCP server over Baileys: pairing-code login, 22 tools, 5 agent skills, stdio or token-protected HTTP. It has 1 GitHub stars and its last recorded update is dated 2026-10-10.
How do I install wazap?
+
You can install wazap by cloning the repository (https://github.com/razvangirgiz/wazap) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is razvangirgiz/wazap safe to use?
+
Our security agent has analyzed razvangirgiz/wazap and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains razvangirgiz/wazap?
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razvangirgiz/wazap is maintained by razvangirgiz. The last recorded GitHub activity is dated 2026-10-10, with 6 open issues.
Are there alternatives to wazap?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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