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WhatsApp Message Sender MCP Tool

MCP Server

Send WhatsApp messages via Meta Business API

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Updated Sep 4, 2025

About

A Model Context Protocol server that sends and receives WhatsApp messages using the Meta (Facebook) WhatsApp Business API, with tools for messaging and a contacts resource.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Sending a WhatsApp message

The MCP Server WhatsApp Message is a lightweight, protocol‑compliant bridge that lets AI assistants such as Claude directly send and receive WhatsApp messages through Meta’s Business API. By exposing a single tool () and a resource (), it transforms the messaging platform into an actionable data source that can be invoked from any MCP‑aware client without writing custom integration code.

For developers building conversational agents, this server removes the friction of managing OAuth tokens, HTTP endpoints, and payload formatting. Once configured, a Claude model can issue a JSON request to the tool, passing a phone number and message body. The server translates this into the proper WhatsApp API call, handles authentication via environment variables, and returns a concise success or error response. The resource offers an instant lookup of stored contacts, enabling dynamic message routing or personalization based on user data.

Key capabilities include:

  • Seamless authentication through environment variables (, ), keeping credentials out of the codebase.
  • Unified resource access: retrieve a list of contacts in one call, useful for context‑aware conversations.
  • Robust error handling: the server reports clear failures (e.g., invalid numbers or API limits) so the AI can adapt its strategy.
  • FastMCP compatibility: it adheres to MCP 1.6, ensuring smooth integration with Claude Local and other MCP clients.

Typical use cases span customer support bots that automatically notify users via WhatsApp, marketing workflows that push promotional messages, or internal tools where agents need to ping team members on the go. In a workflow, an AI assistant could first query to find a user’s number, then invoke to send an order confirmation or reminder. Because the server handles all low‑level API interactions, developers can focus on crafting conversational logic rather than plumbing.

What sets this MCP apart is its minimal footprint and clear separation of concerns. The server runs as a standalone process, yet it can be launched from Claude Local with a single configuration block. Its design emphasizes security (environment‑based secrets), scalability (stateless operation), and ease of extension—developers can add more tools or resources without touching the core server logic. This makes it an ideal component for any AI‑driven system that requires real‑time, reliable WhatsApp communication.