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"WhatsApp MCP (Model Context Protocol) Integration" matching MCP servers:

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    Single-binary Go MCP server that wraps whatsmeow to expose a personal WhatsApp account as 41 MCP tools (messaging, groups, polls, media, privacy).
    42
    7
    MIT
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    MCP server that gives AI agents read and write access to WhatsApp on macOS, reading local chat history offline and sending messages via pre-filled drafts with explicit user confirmation.
    8
    MIT
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    MCP server for the WhatsApp Business API that enables managing business accounts, phone numbers, message templates, sending template messages, and tracking message status via the Meta Graph API.
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    MIT
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    MCP server that pings 130+ free coding LLM models across 17 providers in real-time, ranks them by latency, and helps AI agents pick the fastest available model.
    21
    MIT
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    Manage WhatsApp Business templates and send messages from Claude, ChatGPT, Cursor, VS Code Copilot, or any MCP-compatible client — powered by the Meta Cloud API.
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    MIT
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    Enables Claude to interact with WhatsApp on macOS through the Model Context Protocol. It allows reading messages, searching contacts, listing chats, and sending replies via natural conversation.
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    MIT
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    Enables read-only access to your own WhatsApp history and attachments via the Model Context Protocol, allowing AI assistants to enumerate chats, page history deterministically, and retrieve approved attachment bytes.
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    Connects AI agents to WhatsApp via the Baileys library using QR code pairing, enabling sending and receiving messages without the Meta Business API. Supports persistent sessions, access control, and message buffering.
    5
    MIT
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    Enables LLMs to interact with WhatsApp via the official WhatsApp Cloud API, providing tools for sending messages, templates, media, and managing conversations.
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    MIT
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    An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.
    20
    1,408
    MIT
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    Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical
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    Apache 2.0