Napier WhatsApp MCP

MCPOpen Source11.0

by va99 • Messaging & Collaboration

A local MCP server that lets AI agents (e.g., Claude or Cursor) access and interact with a personal WhatsApp account to read, search, send messages and media.

Example Use Cases

1
Search and read a user's WhatsApp message history (including images, videos, documents, and audio) stored locally.
2
Send messages or media (images, videos, documents, voice messages) from a personal WhatsApp account via an automated workflow.
3
Integrate WhatsApp interactions into Claude or Cursor via the Model Context Protocol while keeping message data on-device.

Description

Napier provides a two-part system — a Go WhatsApp bridge (using whatsmeow) and a Python MCP server — to expose your personal WhatsApp data and actions to AI agents via the Model Context Protocol. All messages and media metadata are stored locally in a SQLite database; media can be downloaded on demand and audio can be converted with FFmpeg. This setup keeps data local and under your control while enabling agents to search chats, retrieve context, and send messages or files programmatically. It is designed for integration with desktop Claude or Cursor via their MCP configuration.

Quick Actions

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Security

Scanned 2 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

D40/100

3/17 checks passed

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Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities0 Tools / 0 Prompts / 0 Resources

Ownerva99

CategoryMessaging & Collaboration

DependenciesStandalone