Skip to main content
Glama
mcp-whatsapp-giulia-ai

mcp-whatsapp-giulia-ai

by wganalytics

Related Servers

Alternatives to mcp-whatsapp-giulia-ai

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      D
      maintenance
      Enables LLMs to interact with WhatsApp via the official WhatsApp Cloud API, providing tools for sending messages, templates, media, and managing conversations.
      13
      11 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants such as Claude, Gemini, or Codex to send WhatsApp messages and file attachments to yourself or your team, list groups, and check the connection status through Evolution API. It also supports automatic notifications when a task finishes, needs a decision, or fails.
      42 npm
      GPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to send and read WhatsApp messages, manage instances, chats, groups, media, polls, buttons, and webhooks through a managed WhatsApp API with 25 curated tools.
      25
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Automata MCP safely gives Claude (or Codex or any AI Agent) fine-grained access to your WhatsApp, Telegram and PostgreSQL Claude can then read, search and summarise your conversations, query your data, and — only if you allow it — send messages and write rows.
      6
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Enables AI agents to control WhatsApp, including sending messages and media, reading chats, managing groups and communities, with QR/pairing auth and session persistence.
      14
      12 npm
      2
      MIT

    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a distinct purpose: listing groups, retrieving group messages, sending to a group, and sending to a phone number. The descriptions clearly differentiate the targets and actions, leaving no ambiguity.

    Naming Consistency5/5

    All tools follow a consistent snake_case naming convention with a clear verb (get or send) followed by the object. The pattern is predictable and uniform across the set.

    Tool Count5/5

    With 4 tools, the server is well-scoped for its purpose of reading and sending WhatsApp messages. Each tool addresses a necessary function without bloat, and the count falls comfortably within the ideal range.

    Completeness4/5

    The tool set covers the core workflows: listing groups, reading group history, and sending messages to both groups and individual phones. While it lacks features like media sending or listing individual chats, these are non-essential for the apparent primary use case.

    Maintenance

    ActivityStale
    ResponsivenessNo issues