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    lharries

    lharries/whatsapp-mcp

    #173 this week

    WhatsApp MCP server

    ai
    mcp
    whatsapp
    whatsapp-api
    Go
    MIT
    6.8K stars
    1.5K forks
    53 GitHub watchers
    Updated Nov 5, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #21 among AI repositories ranked this week, and #62 over the last 30 days; #173 of 182 repositories with measured growth this week (top 95%).

    This week's +48 stars is below its 30-day pace of about +93 per week.

    No releases in the last 90 days; the most recent was 578 days ago, with 5 contributors on GitHub.

    Peaked at #53 in the weekly ranking the week of Feb 8, its best in the past year.

    Use Cases & Benefits

    • Implements a Model Context Protocol server to interact with personal WhatsApp accounts via the WhatsApp web multidevice API.
    • Enables seamless AI-driven access and control of WhatsApp messages and media through local storage and standardized MCP tools.
    • Use for integrating WhatsApp messaging and media handling into AI assistants like Claude for conversational automation.
    • Use for archiving and searching personal WhatsApp chat history locally with efficient SQLite indexing.
    • Use for sending and receiving various media types including images, videos, documents, and voice messages via programmable interfaces.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    • Warning: No commits in over a year (last push Jul 2025).

    General guidance from repository metadata, not legal advice. How we score

    From the README

    This is a Model Context Protocol (MCP) server for WhatsApp.

    With this you can search and read your personal Whatsapp messages (including images, videos, documents, and audio messages), search your contacts and send messages to either individuals or groups. You can also send media files including images, videos, documents, and audio messages.

    It connects to your personal WhatsApp account directly via the Whatsapp web multidevice API (using the whatsmeow library). All your messages are stored locally in a SQLite database and only sent to an LLM (such as Claude) when the agent accesses them through tools (which you control).

    Here's an example of what you can do when it's connected to Claude.

    To get updates on this and other projects I work on enter your email here

    Caution: as with many MCP servers, the WhatsApp MCP is subject to the lethal trifecta. This means that project injection could lead to private data exfiltration.

    Excerpt from the lharries/whatsapp-mcp README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 13: +4Aug 14: +3Aug 15: +3Oct 3: +9Oct 4: +4Oct 5: +13Oct 6: +10Oct 7: +6Oct 8: +7Oct 9: +5Oct 10: +27Oct 11: +76Oct 12: +11Oct 13: +18Oct 14: +26Oct 15: +25Oct 16: +22Oct 17: +2Oct 18: +11Oct 19: +8Oct 23: +11Oct 24: +6Oct 25: +9Oct 26: +12Oct 27: +14Oct 28: +9Oct 29: +8Oct 30: +12Oct 31: +9Nov 1: +5Nov 2: +7Nov 3: +4Nov 4: +8Nov 5: +9Nov 6: +6

    +674 stars over 86 days across 40 snapshot days; best day +76 on Oct 11.

    Forks

    1.5K+244

    Open issues

    270+48

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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