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OMNI-MQTT-MCP

A versatile MQTT MCP server that allows AI agents to interact with MQTT brokers using multiple transport protocols like STDIO and Streamable HTTP. It supports publishing, subscribing, and flexible broker authentication for both local and web-based deployments.

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Updated
Jul 4, 2025

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OMNI-MQTT-MCP

MQTT MCP Server with configurable transport options via CLI: STDIO (default), Streamable HTTP (recommended for web), and SSE (deprecated).

🚀 Quick Start

# Install dependencies
pip install -r requirements.txt

# Run with STDIO (default - for local development)
python mqtt_mcp_server.py

# Run with Streamable HTTP (recommended for web)
python mqtt_mcp_server.py --transport streamable-http

# Run with SSE (deprecated)
python mqtt_mcp_server.py --transport sse

📋 Transport Options

Choose your transport with the --transport CLI argument:

1. STDIO Transport (Default) ✅

python mqtt_mcp_server.py --transport stdio
# or simply:
python mqtt_mcp_server.py
  • Best for: Local development, Claude Desktop integration
  • Pros: Simple, secure, works with MCP clients like Claude Desktop
  • Cons: Local only, no remote access

2. Streamable HTTP (Recommended for Web) 🌐

python mqtt_mcp_server.py --transport streamable-http
python mqtt_mcp_server.py --transport streamable-http --host 0.0.0.0 --http-port 9000
  • Best for: Web deployments, remote access, microservices
  • Default URL: http://127.0.0.1:8000/mcp
  • Pros: Modern, efficient, supports multiple clients, easy deployment
  • Cons: Requires network setup, security considerations

3. SSE (Server-Sent Events) ⚠️ Deprecated

python mqtt_mcp_server.py --transport sse
  • Best for: Legacy deployments (not recommended for new projects)
  • Default URL: http://127.0.0.1:8000/sse
  • Status: Being phased out in favor of Streamable HTTP

🛠 Available Tools

  • mqtt_publish: Publish messages to MQTT topics
  • mqtt_subscribe: Subscribe to MQTT topics and receive messages

⚙️ Configuration Options

MQTT Configuration

python mqtt_mcp_server.py \
  --broker localhost \
  --port 1883 \
  --client-id mcp-mqtt-client \
  --username your_username \
  --password your_password

Transport Configuration

python mqtt_mcp_server.py \
  --transport streamable-http \
  --host 127.0.0.1 \
  --http-port 8000 \
  --path /mcp

All Options

python mqtt_mcp_server.py --help

Environment Variables

You can also use environment variables for MQTT settings:

export MQTT_BROKER_ADDRESS=localhost
export MQTT_PORT=1883
export MQTT_CLIENT_ID=mcp-mqtt-client
export MQTT_USERNAME=your_username
export MQTT_PASSWORD=your_password

python mqtt_mcp_server.py --transport streamable-http

🧪 Testing

Test HTTP Server

# Terminal 1: Start server
python mqtt_mcp_server.py --transport streamable-http

# Terminal 2: Test it
python test_http_client.py

Test with Claude Desktop

Add to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "mqtt": {
      "command": "python",
      "args": ["/path/to/mqtt_mcp_server.py"],
      "env": {
        "MQTT_BROKER_ADDRESS": "localhost",
        "MQTT_PORT": "1883"
      }
    }
  }
}

🔧 Development

Using the MCP CLI

# Run in development mode with MCP Inspector
mcp dev mqtt_mcp_server.py

# Run with specific transport via MCP CLI
mcp run mqtt_mcp_server.py -- --transport streamable-http --http-port 9000

📚 Examples

Local Development

# Default STDIO for Claude Desktop
python mqtt_mcp_server.py

Web Deployment

# HTTP server on port 8000
python mqtt_mcp_server.py --transport streamable-http

# HTTP server on custom port and host
python mqtt_mcp_server.py --transport streamable-http --host 0.0.0.0 --http-port 9000

# Custom path
python mqtt_mcp_server.py --transport streamable-http --path /api/mcp

Production with Custom MQTT

python mqtt_mcp_server.py \
  --transport streamable-http \
  --broker mqtt.example.com \
  --port 8883 \
  --username prod_user \
  --password secret123 \
  --host 0.0.0.0 \
  --http-port 80

🤔 Which Transport Should I Choose?

Use CaseCommandWhy?
Local developmentpython mqtt_mcp_server.pySimple, secure, works with Claude Desktop
Web deploymentpython mqtt_mcp_server.py --transport streamable-httpModern, efficient, easy to deploy
Remote AI agentspython mqtt_mcp_server.py --transport streamable-http --host 0.0.0.0Supports authentication, scalable
Legacy systemspython mqtt_mcp_server.py --transport sseOnly if you're already using SSE

🐳 Docker with Ngrok

Run the server inside Docker and automatically expose it with an ngrok tunnel.

Build

docker build -t mqtt-mcp-ngrok .

Run

docker run -d \
  -p 8000:8000 \
  -e NGROK_AUTHTOKEN=<YOUR_TOKEN> \
  -e TRANSPORT=sse \
  -e FASTMCP_PORT=8000 \
  -e MQTT_BROKER_ADDRESS=mqtt.example.com \
  -e MQTT_PORT=8883 \
  -e MQTT_CLIENT_ID=my-client \
  -e MQTT_USERNAME=prod_user \
  -e MQTT_PASSWORD=secret123 \
  mqtt-mcp-ngrok

The container exposes the MCP server via ngrok. Pass environment variables to configure the MQTT broker and server transport. Check the container logs to discover the public URL.

📚 Learn More

🔒 Security Notes

  • STDIO: Runs locally, inherently secure
  • HTTP/SSE: Consider adding authentication for production deployments
  • MQTT: Configure MQTT broker security (TLS, authentication)

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