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AIBE13

whatsapp-local-mcp

by AIBE13
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    • ZapMCP

      pedrosoutom
      A
      license
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      quality
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      maintenance
      Enables Claude to read WhatsApp Desktop chats on a Mac, including messages, images, documents, and locally transcribed audio, through a local MCP server. Everything runs on the Mac with read-only access and no messages sent.
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    • whatsapp-mcp-local

      VaishnavSPillai03
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides Claude with read-only access to your WhatsApp chat history entirely on your local machine, enabling natural language search, summarization, and retrieval of messages without sending data to the cloud.
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    • whatsapp-mcp-local

      VaishnavSPillai03
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude to read and search your WhatsApp chat history locally with no cloud or API keys, and optionally send audited messages.
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    • WhatsApp MCP

      adelaidasofia
      A
      license
      Not graded
      quality
      A
      maintenance
      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.
      6
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.9/5.0

    Scored across 19 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: message retrieval, media handling, connection management, and brief operations are all separate. Even the three save tools (save_image, save_voice, save_media) are differentiated by type and specificity, and descriptions reinforce the differences.

    Naming Consistency4/5

    Almost all tools follow a clear verb_noun pattern (e.g., get_recent_messages, save_media_window). The only outlier is where_do_media_files_go, which uses a full question instead of a concise verb_noun. The overall pattern is strong and predictable.

    Tool Count4/5

    19 tools is slightly above the typical 3-15 range, but the complexity of WhatsApp interaction (connection, caching, media, transcription, briefing) justifies the count. Each tool serves a unique purpose without redundancy.

    Completeness3/5

    The tool set covers reading, searching, caching, and analyzing messages well. However, it notably lacks any send_message or outgoing action capability, which is a significant gap for a messaging platform. The focus appears to be on passive analysis, but the omission limits potential workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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