Facebook Messenger MCP Bridge
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Facebook Messenger MCP Bridgelist my recent Messenger conversations"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Facebook Messenger MCP Bridge (Python)
A complete, battle-tested AI client bridge that reads and replies to Facebook Messenger using the Model Context Protocol (MCP) and a Chrome Extension.
This system bypasses Facebook's robust anti-bot protections (like the Lexical editor) to allow seamless AI interactions on your personal Messenger account.
Architecture Overview
┌─────────────────┐ MQTT (TCP/WS) ┌──────────────────┐ stdio ┌─────────────┐
│ Chrome Ext │ ◄──────────────────► │ Python MCP │ ◄─────────────► │ AI Client │
│ (Manifest V3) │ Broker (HiveMQ) │ Server │ │ (Claude, │
│ │ │ │ │ Cursor, │
│ - content.js │ │ - fb_read │ │ v.v) │
│ - background │ │ - fb_send │ │ │
└─────────────────┘ └──────────────────┘ └─────────────┘Features & Breakthroughs
Robust Message Reading: Bypasses obfuscated DOM classes by parsing Facebook's hidden accessibility labels (aria-labels). This correctly identifies the sender, timestamp, and message text regardless of UI updates.
Lexical Editor Bypass: Facebook Messenger uses the Lexical framework which ignores standard DOM value injections (
input.value). This extension bypasses it by:Simulating a native
ClipboardEvent(Paste) to inject text into the editor.Using Javascript to find and trigger a physical
MouseEventon the Send button.
Stable Connection: Uses a persistent MQTT connection via WebSockets from a Chrome Extension Service Worker, relayed to a Python MCP server.
Installation & Setup
1. Install Python Dependencies
uv sync2. Configure Environment
Create a .env file in the root directory with your MQTT broker details (e.g. HiveMQ):
HIVE_MQTT_HOST=your-cluster.s2.eu.hivemq.cloud
HIVE_MQTT_PORT=8883
HIVE_MQTT_USERNAME=mcp-user
HIVE_MQTT_PASSWORD=your-password
HIVE_MQTT_CLIENT_ID=mcp-server-0013. Load Chrome Extension
Open Chrome and navigate to
chrome://extensions/Enable Developer mode (top right toggle)
Click Load unpacked
Select the
chrome-extensionfolder in this project.Make sure you are logged into
https://www.messenger.com.
4. Start the MCP Server
You can run the standalone server script to initialize both the WS-MQTT bridge and the MCP server:
uv run python start.py5. Using with an AI Client (Cursor / Claude Desktop)
Add the following to your MCP client configuration:
{
"mcpServers": {
"facebook-messenger": {
"command": "uv",
"args": ["run", "python", "-m", "mcp_server.server"],
"env": {}
}
}
}Available MCP Tools
Tool | Description |
| List recent Messenger conversations to get |
| Read message history from a specific |
| Send a text message to a |
| Search your Messenger contacts by name. |
| Get metadata about a conversation. |
Security & Disclaimer
⚠️ Important: This tool uses DOM scraping and simulated user input.
It operates using your actual logged-in session.
Facebook may change their UI or anti-bot measures at any time.
Use responsibly to avoid rate limits or account blocks.
This project is not affiliated with or endorsed by Meta/Facebook.
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