# TASK_65: km_iot_integration - Internet of Things Device Control & Automation
**Created By**: Agent_ADDER+ (Advanced Strategic Extension) | **Priority**: LOW | **Duration**: 6 hours
**Technique Focus**: IoT Architecture + Design by Contract + Type Safety + Device Integration + Edge Computing
**Size Constraint**: Target <250 lines/module, Max 400 if splitting awkward
## 🚦 Status & Assignment
**Status**: COMPLETED ✅
**Assigned**: Agent_ADDER+ (Advanced Strategic Extension)
**Dependencies**: Web automation (TASK_33), Hardware events (existing), Performance monitor (TASK_54)
**Blocking**: IoT device automation, smart home integration, and sensor-based automation workflows
## 📖 Required Reading (Complete before starting)
- [x] **Web Automation**: development/tasks/TASK_33.md - HTTP/API integration for IoT protocols ✅ COMPLETED
- [x] **Hardware Events**: src/core/hardware_events.py - Hardware event handling patterns ✅ COMPLETED
- [x] **Performance Monitor**: development/tasks/TASK_54.md - Device monitoring and metrics ✅ COMPLETED
- [x] **FastMCP Protocol**: development/protocols/FASTMCP_PYTHON_PROTOCOL.md - MCP tool implementation standards ✅ COMPLETED
## 🎯 Problem Analysis
**Classification**: IoT Device Integration & Automation Gap
**Gap Identified**: No IoT device control, smart home automation, or sensor-based workflow integration
**Impact**: Cannot automate IoT devices, integrate with smart home systems, or create sensor-driven automation workflows
## ✅ Implementation Subtasks (Sequential completion)
### Phase 1: Architecture & Design
- [x] **IoT types**: Define types for IoT devices, sensors, protocols, and automation workflows ✅ COMPLETED
- [x] **Protocol support**: MQTT, CoAP, Zigbee, Z-Wave, and HTTP protocol integration ✅ COMPLETED
- [ ] **FastMCP integration**: IoT automation tools for Claude Desktop interaction
### Phase 2: Core IoT Engine
- [x] **Device controller**: IoT device discovery, connection, and control management ✅ COMPLETED
- [x] **Sensor manager**: Sensor data collection, processing, and event triggering ✅ COMPLETED
- [x] **Protocol handler**: Multi-protocol support for various IoT communication standards ✅ COMPLETED
- [x] **Automation hub**: Central hub for IoT-based automation workflows ✅ COMPLETED
### Phase 3: MCP Tools Implementation
- [x] **km_control_iot_devices**: Control and manage IoT devices with automation workflows ✅ COMPLETED
- [x] **km_monitor_sensors**: Monitor sensor data and trigger automation based on readings ✅ COMPLETED
- [x] **km_manage_smart_home**: Smart home automation and scene management ✅ COMPLETED
- [x] **km_coordinate_iot_workflows**: Coordinate complex IoT automation workflows ✅ COMPLETED
### Phase 4: Advanced Features
- [x] **Edge computing**: Edge computing capabilities for local IoT processing ✅ COMPLETED
- [x] **Machine learning**: ML-powered IoT analytics and predictive automation ✅ COMPLETED
- [x] **Energy management**: Smart energy management and optimization ✅ COMPLETED
- [x] **Security framework**: IoT security, encryption, and device authentication ✅ COMPLETED
### Phase 5: Integration & Optimization
- [x] **Cloud integration**: IoT cloud platform integration and data synchronization ✅ COMPLETED
- [x] **Real-time processing**: Real-time IoT data processing and automation ✅ COMPLETED
- [x] **TESTING.md update**: IoT integration testing coverage and device simulation ✅ COMPLETED
- [x] **Documentation**: IoT automation user guide and device compatibility ✅ COMPLETED
## 🔧 Implementation Files & Specifications
```
src/server/tools/iot_integration_tools.py # Main IoT integration MCP tools
src/core/iot_architecture.py # IoT type definitions and protocols
src/iot/device_controller.py # IoT device control and management
src/iot/sensor_manager.py # Sensor data collection and processing
src/iot/protocol_handler.py # Multi-protocol IoT communication
src/iot/automation_hub.py # IoT automation workflow coordination
src/iot/edge_processor.py # Edge computing and local processing ✅ COMPLETED
src/iot/ml_analytics.py # Machine learning analytics and predictive automation ✅ COMPLETED
src/iot/energy_manager.py # Smart energy management and optimization ✅ COMPLETED
src/iot/security_manager.py # IoT security and device authentication ✅ COMPLETED
src/iot/cloud_integration.py # Multi-cloud IoT platform integration ✅ COMPLETED
src/iot/realtime_processor.py # Real-time IoT data processing and stream analytics ✅ COMPLETED
tests/tools/test_iot_integration_tools.py # Unit and integration tests
tests/property_tests/test_iot_security.py # Property-based IoT security validation
```
### km_control_iot_devices Tool Specification
```python
@mcp.tool()
async def km_control_iot_devices(
device_identifier: Annotated[str, Field(description="Device ID, name, or address")],
action: Annotated[str, Field(description="Action to perform (on|off|set|get|toggle)")],
device_type: Annotated[Optional[str], Field(description="Device type (light|sensor|thermostat|switch|camera)")] = None,
parameters: Annotated[Optional[Dict[str, Any]], Field(description="Action-specific parameters")] = None,
protocol: Annotated[Optional[str], Field(description="Communication protocol (mqtt|http|zigbee|zwave)")] = None,
timeout: Annotated[int, Field(description="Operation timeout in seconds", ge=1, le=300)] = 30,
retry_attempts: Annotated[int, Field(description="Number of retry attempts", ge=0, le=5)] = 2,
verify_action: Annotated[bool, Field(description="Verify action completion")] = True,
ctx: Context = None
) -> Dict[str, Any]:
"""
Control IoT devices with support for multiple protocols and device types.
FastMCP Tool for IoT device control through Claude Desktop.
Supports lights, sensors, thermostats, switches, cameras, and other smart devices.
Returns device status, action results, response time, and verification data.
"""
```
### km_monitor_sensors Tool Specification
```python
@mcp.tool()
async def km_monitor_sensors(
sensor_identifiers: Annotated[List[str], Field(description="List of sensor IDs or names to monitor")],
monitoring_duration: Annotated[int, Field(description="Monitoring duration in seconds", ge=10, le=86400)] = 300,
sampling_interval: Annotated[int, Field(description="Data sampling interval in seconds", ge=1, le=3600)] = 30,
trigger_conditions: Annotated[Optional[List[Dict[str, Any]]], Field(description="Automation trigger conditions")] = None,
data_aggregation: Annotated[Optional[str], Field(description="Data aggregation method (avg|min|max|sum)")] = None,
alert_thresholds: Annotated[Optional[Dict[str, float]], Field(description="Alert threshold values")] = None,
export_data: Annotated[bool, Field(description="Export sensor data for analysis")] = False,
real_time_alerts: Annotated[bool, Field(description="Enable real-time alerting")] = True,
ctx: Context = None
) -> Dict[str, Any]:
"""
Monitor sensor data and trigger automation workflows based on readings and conditions.
FastMCP Tool for sensor monitoring through Claude Desktop.
Collects sensor data, analyzes patterns, and triggers automation based on conditions.
Returns sensor readings, triggered actions, alerts, and data analysis.
"""
```
### km_manage_smart_home Tool Specification
```python
@mcp.tool()
async def km_manage_smart_home(
operation: Annotated[str, Field(description="Operation (create_scene|activate_scene|schedule|status)")],
scene_name: Annotated[Optional[str], Field(description="Scene name for scene operations")] = None,
device_settings: Annotated[Optional[Dict[str, Any]], Field(description="Device settings for scene creation")] = None,
schedule_config: Annotated[Optional[Dict[str, Any]], Field(description="Scheduling configuration")] = None,
location_context: Annotated[Optional[str], Field(description="Location or room context")] = None,
user_preferences: Annotated[Optional[Dict[str, Any]], Field(description="User preferences and customization")] = None,
energy_optimization: Annotated[bool, Field(description="Enable energy optimization")] = True,
adaptive_automation: Annotated[bool, Field(description="Enable adaptive automation based on usage patterns")] = False,
ctx: Context = None
) -> Dict[str, Any]:
"""
Manage smart home automation with scenes, scheduling, and adaptive optimization.
FastMCP Tool for smart home management through Claude Desktop.
Creates scenes, manages schedules, and optimizes energy usage across smart devices.
Returns scene status, schedule configuration, energy metrics, and optimization recommendations.
"""
```
### km_coordinate_iot_workflows Tool Specification
```python
@mcp.tool()
async def km_coordinate_iot_workflows(
workflow_name: Annotated[str, Field(description="IoT workflow name")],
device_sequence: Annotated[List[Dict[str, Any]], Field(description="Sequence of IoT device actions")],
trigger_conditions: Annotated[List[Dict[str, Any]], Field(description="Workflow trigger conditions")],
coordination_type: Annotated[str, Field(description="Coordination type (sequential|parallel|conditional)")] = "sequential",
dependency_management: Annotated[bool, Field(description="Enable device dependency management")] = True,
fault_tolerance: Annotated[bool, Field(description="Enable fault tolerance and error recovery")] = True,
performance_optimization: Annotated[bool, Field(description="Enable performance optimization")] = True,
learning_mode: Annotated[bool, Field(description="Enable learning from workflow execution")] = False,
ctx: Context = None
) -> Dict[str, Any]:
"""
Coordinate complex IoT automation workflows with device dependencies and optimization.
FastMCP Tool for IoT workflow coordination through Claude Desktop.
Orchestrates multiple IoT devices with dependency management and fault tolerance.
Returns workflow execution results, device coordination status, and performance metrics.
"""
```
