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WhatsApp MCP Server

@Mtumish1

Repository

Basic information

Category

Communication

License

MIT license

Transports

stdio

Author

Mtumish1

About WhatsApp MCP Server

This server bridges WhatsApp messages with large language models, allowing for intelligent summarization, response generation, scheduling, and personal assistant tasks using the MCP specification.

WhatsApp MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

WhatsApp MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 📱 WhatsApp MCP Server?

A Model Context Protocol (MCP) server that integrates WhatsApp into AI agent workflows — enabling agents to read, respond, and act on WhatsApp conversations securely and contextually. It acts as a bridge between WhatsApp and a Large Language Model (LLM) agent, allowing WhatsApp chats to become part of agentic automation systems for personal assistants, business bots, or multi-channel communication tools.

How to use 📱 WhatsApp MCP Server?

—

Key features of 📱 WhatsApp MCP Server

  • Secure WhatsApp chat ingestion via WhatsApp Business API or local bridge
  • JSON-based context delivery for LLMs
  • Action endpoint for generating suggested replies or initiating workflows
  • Compatible with MCP clients and orchestration frameworks
  • Focus on user privacy and scoped data access

Use cases of 📱 WhatsApp MCP Server

  • Retrieve recent WhatsApp messages in a structured context
  • Understand and summarize chats
  • Generate draft replies
  • Act based on WhatsApp communication triggers

Frequently asked questions

1

What is MCP?

Model Context Protocol (MCP) is a specification for safely connecting LLMs to tools and external data sources, providing structured, explainable context and accepting natural language actions with an audit trail.

2

How does the server connect to WhatsApp?

It ingests WhatsApp chats securely via the WhatsApp Business API or a local bridge.

3

Is this project production-ready?

No—it is under active development and marked as a work in progress.

4

Which LLMs can work with this server?

LLMs like Claude, GPT-4, or open-source models that support the MCP specification.

5

What data does it access?

The server focuses on user privacy and scoped data access, providing secure chat ingestion without full API access.

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