What is Iot Mcp Server

iot_mcp_server is a repository containing two Model Context Protocol (MCP) servers: the IoT Device Control MCP Server for managing and monitoring IoT devices, and the Memory Management MCP Server for persistent memory storage and retrieval.

Use cases

Use cases include controlling smart lights, monitoring industrial sensors, managing devices remotely, storing conversation histories, and enabling contextual awareness in AI systems.

How to use

To use iot_mcp_server, clone the repository, install the required dependencies using ‘pip install -r requirements.txt’, create a ‘.env’ file based on the provided template, and run the servers using ‘python iot_mcp_server.py’ for the IoT server and ‘python memory_mcp_server.py’ for the Memory server.

Key features

Key features include sending commands to IoT devices, querying device states, subscribing to real-time updates, saving and retrieving long-term memory, and performing semantic searches on stored memories.

Where to use

iot_mcp_server can be used in various fields such as home automation, industrial IoT monitoring, smart building control systems, conversation history storage, knowledge management, and contextual awareness in AI applications.

MCP Servers for IoT and Memory Management

This repository contains two Model Context Protocol (MCP) servers:

1. IoT Device Control MCP Server
2. Memory Management MCP Server

IoT Device Control MCP Server

A Model Context Protocol (MCP) server for controlling and monitoring IoT devices such as smart lights, sensors, and other connected devices.

Purpose

This server provides a standardized interface for IoT device control, monitoring, and state management through the Model Context Protocol.

Use Cases

• Home automation
• Industrial IoT monitoring
• Remote device management
• Smart building control systems

Features

• Send commands to IoT devices
• Query device state and status
• Subscribe to real-time device updates
• Support for MQTT protocol

API Tools

• send_command: Send a command to an IoT device
• get_device_state: Get the current state of an IoT device
• subscribe_to_updates: Subscribe to real-time updates from a device

Memory Management MCP Server

A Model Context Protocol (MCP) server for persistent memory storage and retrieval using the Mem0 framework.

Purpose

This server enables long-term memory storage and semantic search capabilities through the Model Context Protocol.

Use Cases

• Conversation history storage
• Knowledge management
• Contextual awareness in AI applications
• Persistent information storage

Features

• Save information to long-term memory
• Retrieve all stored memories
• Search memories using semantic search

API Tools

• save_memory: Save information to long-term memory
• get_all_memories: Get all stored memories for the user
• search_memories: Search memories using semantic search

Getting Started

1. Clone this repository
2. Install dependencies: pip install -r requirements.txt
3. Create a .env file based on the .env.example template
4. Run the IoT server: python iot_mcp_server.py
5. Run the Memory server: python memory_mcp_server.py

Environment Variables

IoT MCP Server

• MQTT_BROKER: MQTT broker address (default: “localhost”)
• MQTT_PORT: MQTT broker port (default: 1883)
• HOST: Server host address (default: “0.0.0.0”)
• PORT: Server port (default: “8090”)
• TRANSPORT: Transport type, “sse” or “stdio” (default: “sse”)

Memory MCP Server

• MEM0_API_KEY: API key for Mem0 service (optional)
• MEM0_ENDPOINT: Endpoint URL for Mem0 service (default: “https://api.mem0.ai”)
• HOST: Server host address (default: “0.0.0.0”)
• PORT: Server port (default: “8050”)
• TRANSPORT: Transport type, “sse” or “stdio” (default: “sse”)

Repository Structure

• iot_mcp_server.py - IoT device control MCP server implementation
• memory_mcp_server.py - Memory management MCP server implementation
• utils.py - Utility functions used by the servers
• requirements.txt - Package dependencies
• .env.example - Template for environment variables configuration
• README.md - Documentation