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

Autonomous DeFi yield for AI agents on Base. Query APY rates, agent status, payment splits, and referral stats. 4 read-only tools + 1 resource.

Single-binary Go MCP server that wraps whatsmeow to expose a personal WhatsApp account as 41 MCP tools (messaging, groups, polls, media, privacy).

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.

MCP server for WhatsApp via GREEN-API gateway, enabling agents to read chat history and send messages and files.

Lets you read WhatsApp history from the macOS app's own SQLite database without QR pairing or ban risk, with optional token-gated replying.

Enables sending messages, images, documents and more on WhatsApp directly from any MCP-compatible AI, with tools for chat management, groups, and webhooks.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

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.

Persistent 3D/2D spatial world model MCP server for AI agents. Entity tracking, object permanence, AABB collision simulation & view frustum projection via local SQLite.

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.

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.

Governs and automates WhatsApp messaging for AI agents with security controls like recipient allowlisting, secret scanning, rate limiting, and audit logging.

Discovers local model runtimes such as Ollama, LM Studio, and LocalAI, and exposes their endpoint metadata to MCP clients like Copilot.

Trust, identity, and reputation infrastructure for AI agents. Register agents with W3C DID (Ed25519), check EigenTrust reputation scores, submit peer attestations, search agents by capability, and verify IPFS-anchored audit trails. 11 tools.

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.

Enables AI assistants to read and send WhatsApp messages on Windows through the official WhatsApp Desktop application using Edge WebView2 CDP automation.

Trust infrastructure for the agent economy.

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.

MCP server for parsing, validating, building and explaining FIX protocol trading messages — offline, no API keys.

Connects AI agents to the WhatsApp Business Cloud API, allowing them to send messages, manage templates, and retrieve account analytics. It facilitates automated customer interaction and marketing campaign management through the Model Context Protocol.