MCP-Mirror

Coreflux MQTT MCP Server

Community MCP-Mirror
Updated

Mirror of https://github.com/CorefluxCommunity/Coreflux-MQTT-MCP-Server

Coreflux MQTT MCP Server

This is a Model Context Protocol (MCP) server that connects to a Coreflux MQTT broker and makes Coreflux and MQTT actions available as tools for Claude and other MCP-compatible AI assistants.

Features

  • Connects to Coreflux MQTT broker
  • Provides tools for all Coreflux commands (models, actions, rules, routes)
  • Discovers and lists available actions
  • Includes LOT language documentation as resources
  • Built with the official MCP SDK for seamless Claude integration
  • Standalone setup assistant for configuration

Setup Assistant

The server includes a standalone setup assistant that can be run separately from the main server. Run the setup assistant when:

  • You need to create an initial configuration (.env file)
  • You want to update your existing configuration
  • You're experiencing connection issues and need to reconfigure

To run the setup assistant:

python setup_assistant.py

The setup assistant helps you:

  • Create or update the .env file with your configuration
  • Configure MQTT broker settings (host, port, credentials)
  • Set up TLS configuration if needed
  • Configure logging options

After configuration is complete, you can run the server normally.

Connecting Claude to the MCP Server

Using Claude Desktop Config

  1. Create or edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS/Linux) or %USERPROFILE%\AppData\Roaming\Claude\claude_desktop_config.json (Windows)
  2. Add the following configuration (adjust the paths accordingly):
    {
      "mcpServers": {
        "coreflux": {
          "command": "python",
          "args": [
            "/PATH/TO/server.py",
            "--mqtt-host", "localhost", 
            "--mqtt-port", "1883",
            "--mqtt-user", "root",
            "--mqtt-password", "coreflux",
            "--mqtt-client-id", "claude-coreflux-client"
          ],
          "description": "Coreflux MQTT Broker Control",
          "icon": "🔄",
          "env": {}
        }
      }
    }
    
  3. Restart Claude Desktop

Command-Line Arguments

The server accepts the following command-line arguments. These settings can also be configured via the .env file using the setup assistant:

Argument Description Default
--mqtt-host MQTT broker address localhost
--mqtt-port MQTT broker port 1883
--mqtt-user MQTT username -
--mqtt-password MQTT password -
--mqtt-client-id MQTT client ID claude-mcp-client
--mqtt-use-tls Enable TLS for MQTT connection false
--mqtt-ca-cert Path to CA certificate file -
--mqtt-client-cert Path to client certificate file -
--mqtt-client-key Path to client key file -
--log-level Logging level (DEBUG/INFO/WARNING/ERROR/CRITICAL) INFO

Available Tools

The server provides tools for common Coreflux commands:

  • add_rule: Add a new permission rule
  • remove_rule: Remove a permission rule
  • add_route: Add a new route connection
  • remove_route: Remove a route connection
  • add_model: Add a new model structure
  • remove_model: Remove a model structure
  • add_action: Add a new action event/function
  • remove_action: Remove an action event/function
  • run_action: Run an action event/function
  • remove_all_models: Remove all models
  • remove_all_actions: Remove all actions
  • remove_all_routes: Remove all routes
  • list_discovered_actions: List all discovered Coreflux actions
  • request_lot_code: Generate LOT code based on natural language prompts

Debugging and Troubleshooting

If you encounter issues:

  1. Verify your MQTT broker credentials in your Claude configuration
  2. Ensure the broker is accessible
  3. Run the setup assistant to verify or update your configuration:
    python setup_assistant.py
    
  4. Check Claude Desktop logs:
    # Check Claude's logs for errors (macOS/Linux)
    tail -n 20 -f ~/Library/Logs/Claude/mcp*.log
    # Windows PowerShell
    Get-Content -Path "$env:USERPROFILE\AppData\Roaming\Claude\Logs\mcp*.log" -Tail 20 -Wait
    
  5. Run the server with debug logging:
    # Direct execution with debug logging
    python server.py --mqtt-host localhost --mqtt-port 1883 --log-level DEBUG
    

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