# WeMo MCP Server - Comprehensive Improvement Plan
**Generated**: February 21, 2026
**Current Version**: v1.2.0
**Project Health**: Production-ready, professionally structured
## Executive Summary
### Current State
- **Code**: 1,334 lines across 6 Python files
- **Tests**: 15 unit tests + 6 E2E tests
- **Coverage**: ~45% (estimated, not measured)
- **Quality**: GitHub 6/6 community standards ✅
- **Status**: Production-ready, published on PyPI & MCP Registry
### Key Metrics
| Metric | Current | Target |
|--------|---------|--------|
| Test Coverage | ~45% | 85%+ |
| Unit Tests | 15 | 60+ |
| Code Quality Score | B | A+ |
| CI/CD Checks | 1 (publish) | 5+ |
| Documentation Coverage | 70% | 95% |
---
## Priority Matrix
### 🔴 Critical (Must Have - Next Release)
1. **CI/CD Testing Pipeline** - Automated quality gates
2. **Test Coverage Reporting** - Measure and track quality
3. **Code Quality Automation** - Linting, formatting, type checking
4. **Error Handling Enhancement** - Robust error recovery
5. **Input Validation** - Security and reliability
### 🟠 High Priority (Should Have - 2-4 weeks)
6. **Expanded Test Suite** - Comprehensive test coverage
7. **Performance Optimization** - Caching, parallelization
8. **Persistent Device Cache** - Survive restarts
9. **Configuration Management** - User-configurable settings
10. **Observability** - Structured logging, metrics
### 🟡 Medium Priority (Nice to Have - 1-2 months)
11. **Code Modularization** - Split 701-line server.py
12. **Advanced Features** - Event subscriptions, device monitoring
13. **Documentation Enhancement** - Architecture, troubleshooting
14. **Developer Experience** - Pre-commit hooks, Docker, debug configs
15. **MCP Resources** - Expose device info as MCP resources
### 🟢 Low Priority (Future - 3+ months)
16. **Multi-subnet Support** - Scan multiple networks
17. **Device Simulator** - Testing without real hardware
18. **Performance Benchmarks** - Automated performance tracking
19. **Additional Features** - Color support, energy monitoring
20. **Alternative Distribution** - Docker, Homebrew, binaries
---
## Detailed Improvement Plan
## Phase 1: Quality Foundation (Week 1-2)
### 1.1 CI/CD Testing Pipeline 🔴
**Impact**: Critical | **Effort**: Medium | **Priority**: P0
**Problem**: No automated testing in CI; quality issues only caught manually.
**Solution**: Add comprehensive GitHub Actions workflow for PR validation.
**Implementation**:
```yaml
# .github/workflows/test.yml
name: Test & Quality Checks
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.10", "3.11", "3.12", "3.13"]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
- run: pip install -e ".[dev]"
- run: pytest tests/ -v --cov --cov-report=xml
- run: mypy src/
- run: ruff check src/ tests/
- run: black --check src/ tests/
- uses: codecov/codecov-action@v3
```
**Benefits**:
- Catch bugs before merge
- Ensure code quality standards
- Multi-version Python testing
- Public coverage reporting
**Acceptance Criteria**:
- ✅ Tests run on every PR
- ✅ Quality checks must pass to merge
- ✅ Coverage report published
- ✅ Works across Python 3.10-3.13
---
### 1.2 Test Coverage Reporting 🔴
**Impact**: High | **Effort**: Low | **Priority**: P0
**Problem**: No visibility into test coverage; untested code paths unknown.
**Solution**: Integrate pytest-cov and Codecov for coverage tracking.
**Implementation**:
```toml
# pyproject.toml
[tool.coverage.run]
source = ["src/wemo_mcp_server"]
omit = ["tests/*", "*/__pycache__/*"]
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"def __repr__",
"raise AssertionError",
"raise NotImplementedError",
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
]
```
**Add Badge to README**:
```markdown
[](https://codecov.io/gh/apiarya/wemo-mcp-server)
```
**Benefits**:
- Visualize untested code
- Track coverage trends
- Set coverage targets (85%+)
- Public quality signal
**Acceptance Criteria**:
- ✅ Coverage reports generated
- ✅ Codecov integrated
- ✅ Badge in README
- ✅ Coverage ≥ 60% initially
---
### 1.3 Code Quality Automation 🔴
**Impact**: High | **Effort**: Low | **Priority**: P0
**Problem**: Code style inconsistencies; no automated enforcement of ruff/black/mypy.
**Solution**: Add pre-commit hooks and update CI to enforce.
**Implementation**:
```yaml
# .pre-commit-config.yaml
repos:
- repo: https://github.com/psf/black
rev: 24.1.0
hooks:
- id: black
language_version: python3.10
- repo: https://github.com/pycqa/isort
rev: 5.13.2
hooks:
- id: isort
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.2.0
hooks:
- id: ruff
args: [--fix]
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.8.0
hooks:
- id: mypy
additional_dependencies: [types-all]
```
```bash
# Install pre-commit hooks
pip install pre-commit
pre-commit install
```
**Benefits**:
- Consistent code style
- Catch type errors early
- Automatic formatting
- Reduced review friction
**Acceptance Criteria**:
- ✅ Pre-commit hooks configured
- ✅ All checks pass on current code
- ✅ Documentation updated
- ✅ CI enforces these checks
---
### 1.4 Enhanced Error Handling 🔴
**Impact**: High | **Effort**: Medium | **Priority**: P1
**Problem**: Basic error handling; network failures can crash tools.
**Solution**: Add retry logic, exponential backoff, detailed error messages.
**Implementation**:
```python
# src/wemo_mcp_server/retry.py
import functools
import time
from typing import Callable, TypeVar, Any
T = TypeVar('T')
def retry_with_backoff(
max_attempts: int = 3,
base_delay: float = 1.0,
max_delay: float = 10.0,
exceptions: tuple = (Exception,)
) -> Callable:
"""Retry decorator with exponential backoff."""
def decorator(func: Callable[..., T]) -> Callable[..., T]:
@functools.wraps(func)
async def wrapper(*args: Any, **kwargs: Any) -> T:
for attempt in range(max_attempts):
try:
return await func(*args, **kwargs)
except exceptions as e:
if attempt == max_attempts - 1:
raise
delay = min(base_delay * (2 ** attempt), max_delay)
logger.warning(
f"Attempt {attempt + 1} failed: {e}. "
f"Retrying in {delay}s..."
)
await asyncio.sleep(delay)
return await func(*args, **kwargs)
return wrapper
return decorator
# Usage in server.py
@retry_with_backoff(max_attempts=3, base_delay=0.5)
async def get_device_state(device):
"""Get device state with automatic retry."""
loop = asyncio.get_event_loop()
return await loop.run_in_executor(None, device.get_state, True)
```
**Benefits**:
- Robust network operations
- Better user experience
- Detailed error messages
- Graceful degradation
**Acceptance Criteria**:
- ✅ Retry logic for network ops
- ✅ Exponential backoff implemented
- ✅ User-friendly error messages
- ✅ Tests for error scenarios
---
### 1.5 Input Validation 🔴
**Impact**: Critical | **Effort**: Low | **Priority**: P1
**Problem**: No validation of CIDR notation, device identifiers, brightness values.
**Solution**: Add pydantic models for input validation.
**Implementation**:
```python
# src/wemo_mcp_server/models.py
from pydantic import BaseModel, Field, field_validator
import ipaddress
class ScanNetworkParams(BaseModel):
"""Parameters for network scanning."""
subnet: str = Field(
default="192.168.1.0/24",
description="Network subnet in CIDR notation"
)
timeout: float = Field(
default=0.6,
gt=0.1,
le=10.0,
description="Connection timeout in seconds"
)
max_workers: int = Field(
default=60,
ge=1,
le=200,
description="Maximum concurrent workers"
)
@field_validator('subnet')
@classmethod
def validate_subnet(cls, v: str) -> str:
try:
ipaddress.ip_network(v, strict=False)
return v
except ValueError as e:
raise ValueError(f"Invalid CIDR notation: {v}") from e
class ControlDeviceParams(BaseModel):
"""Parameters for device control."""
device_identifier: str = Field(
min_length=1,
description="Device name or IP address"
)
action: str = Field(
pattern="^(on|off|toggle|brightness)$",
description="Action to perform"
)
brightness: int | None = Field(
default=None,
ge=1,
le=100,
description="Brightness level (1-100)"
)
```
**Benefits**:
- Prevent invalid inputs
- Better error messages
- Type safety
- Security enhancement
**Acceptance Criteria**:
- ✅ All inputs validated
- ✅ Clear error messages
- ✅ Tests for edge cases
- ✅ Documentation updated
---
## Phase 2: Testing Excellence (Week 3-4)
### 2.1 Expanded Unit Test Suite 🟠
**Impact**: High | **Effort**: High | **Priority**: P1
**Problem**: Only 15 unit tests; many code paths untested.
**Solution**: Achieve 85%+ test coverage with comprehensive unit tests.
**Test Coverage Goals**:
```python
# Target test files:
# tests/test_scanner.py - WeMoScanner class (100%)
# tests/test_tools.py - All 6 MCP tools (90%+)
# tests/test_cache.py - Device cache operations (100%)
# tests/test_models.py - Input validation (100%)
# tests/test_retry.py - Retry logic (100%)
# tests/test_error_handling.py - Error scenarios (90%+)
```
**New Tests Needed**:
1. **WeMoScanner Tests** (15 tests)
- Port probing edge cases
- Timeout handling
- Network errors
- Parallel execution
- UPnP discovery mocking
2. **MCP Tool Tests** (30 tests)
- scan_network: success, partial failure, total failure
- list_devices: empty, single, multiple
- get_device_status: online, offline, error
- control_device: all actions, dimmer, switch
- rename_device: success, failure, duplicate name
- get_homekit_code: supported, unsupported, error
3. **Cache Tests** (10 tests)
- Add device
- Remove device
- Update device
- Duplicate handling
- Expiration (if implemented)
4. **Integration Tests** (5 tests)
- End-to-end tool chaining
- Multi-device scenarios
- Concurrent operations
**Acceptance Criteria**:
- ✅ 60+ total unit tests
- ✅ 85%+ code coverage
- ✅ All critical paths tested
- ✅ CI tests pass consistently
---
### 2.2 Mock-Based Testing 🟠
**Impact**: Medium | **Effort**: Medium | **Priority**: P2
**Problem**: E2E tests require real devices; no CI testing possible.
**Solution**: Create comprehensive mocks for pywemo devices.
**Implementation**:
```python
# tests/fixtures.py
import pytest
from unittest.mock import Mock
@pytest.fixture
def mock_switch():
"""Mock WeMo Switch device."""
device = Mock()
device.name = "Test Switch"
device.model = "Socket"
device.host = "192.168.1.100"
device.port = 49153
device.mac = "AA:BB:CC:DD:EE:FF"
device.get_state.return_value = 1 # ON
device.on = Mock()
device.off = Mock()
device.toggle = Mock()
return device
@pytest.fixture
def mock_dimmer():
"""Mock WeMo Dimmer device."""
device = Mock()
device.name = "Test Dimmer"
device.model = "Dimmer"
device.host = "192.168.1.101"
device.port = 49153
device.get_state.return_value = 1
device.get_brightness.return_value = 75
device.set_brightness = Mock()
return device
@pytest.fixture
def mock_discovery():
"""Mock pywemo discovery."""
with patch('pywemo.discover_devices') as mock:
yield mock
```
**Benefits**:
- Test without hardware
- CI testing possible
- Faster test execution
- Deterministic results
**Acceptance Criteria**:
- ✅ Comprehensive device mocks
- ✅ All tools testable in CI
- ✅ Mock fixtures documented
- ✅ Tests run in < 10 seconds
---
### 2.3 Performance Benchmarks 🟡
**Impact**: Medium | **Effort**: Medium | **Priority**: P3
**Problem**: No performance tracking; regression detection impossible.
**Solution**: Add pytest-benchmark for performance testing.
**Implementation**:
```python
# tests/test_performance.py
import pytest
def test_scan_performance(benchmark):
"""Benchmark network scanning speed."""
result = benchmark(
lambda: asyncio.run(scan_network("192.168.1.0/24"))
)
assert result["results"]["scan_duration_seconds"] < 30
def test_cache_lookup_performance(benchmark):
"""Benchmark device cache lookups."""
# Populate cache with 100 devices
for i in range(100):
_device_cache[f"device_{i}"] = mock_device()
result = benchmark(lambda: _device_cache.get("device_50"))
assert result is not None
@pytest.mark.parametrize("device_count", [1, 10, 50, 100])
def test_scaling(device_count, benchmark):
"""Test performance with varying device counts."""
# Test scaling characteristics
pass
```
**Benefits**:
- Detect performance regressions
- Optimize hot paths
- Track improvement trends
- Set performance SLOs
**Acceptance Criteria**:
- ✅ Benchmark suite created
- ✅ Baseline metrics recorded
- ✅ CI runs benchmarks
- ✅ Regression alerts configured
---
## Phase 3: Features & Performance (Week 5-8)
### 3.1 Persistent Device Cache 🟠
**Impact**: High | **Effort**: Medium | **Priority**: P1
**Problem**: Device cache cleared on server restart; must rescan.
**Solution**: Implement persistent cache with SQLite or JSON file.
**Implementation**:
```python
# src/wemo_mcp_server/cache.py
import json
import time
from pathlib import Path
from typing import Dict, Any, Optional
class DeviceCache:
"""Persistent device cache with expiration."""
def __init__(self, cache_file: Path, ttl: int = 3600):
self.cache_file = cache_file
self.ttl = ttl # Time to live in seconds
self._cache: Dict[str, Dict[str, Any]] = {}
self.load()
def load(self) -> None:
"""Load cache from disk."""
if self.cache_file.exists():
with open(self.cache_file) as f:
data = json.load(f)
# Filter expired entries
now = time.time()
self._cache = {
k: v for k, v in data.items()
if now - v.get('timestamp', 0) < self.ttl
}
def save(self) -> None:
"""Save cache to disk."""
self.cache_file.parent.mkdir(parents=True, exist_ok=True)
with open(self.cache_file, 'w') as f:
json.dump(self._cache, f, indent=2)
def get(self, key: str) -> Optional[Any]:
"""Get device from cache."""
entry = self._cache.get(key)
if entry and time.time() - entry['timestamp'] < self.ttl:
return entry['device']
return None
def set(self, key: str, device: Any) -> None:
"""Add device to cache."""
self._cache[key] = {
'device': self._serialize_device(device),
'timestamp': time.time()
}
self.save()
def clear_expired(self) -> int:
"""Remove expired entries."""
now = time.time()
before = len(self._cache)
self._cache = {
k: v for k, v in self._cache.items()
if now - v['timestamp'] < self.ttl
}
removed = before - len(self._cache)
if removed > 0:
self.save()
return removed
# Usage
cache = DeviceCache(
cache_file=Path.home() / ".cache" / "wemo-mcp" / "devices.json",
ttl=3600 # 1 hour
)
```
**Configuration**:
```python
# src/wemo_mcp_server/config.py
from pathlib import Path
from pydantic_settings import BaseSettings
class Settings(BaseSettings):
"""Server configuration."""
cache_dir: Path = Path.home() / ".cache" / "wemo-mcp"
cache_ttl: int = 3600 # 1 hour
cache_enabled: bool = True
class Config:
env_prefix = "WEMO_"
env_file = ".env"
settings = Settings()
```
**Benefits**:
- Instant device access
- Reduced network scans
- Better user experience
- Configurable TTL
**Acceptance Criteria**:
- ✅ Cache persists across restarts
- ✅ Expired entries auto-cleaned
- ✅ User-configurable settings
- ✅ Tests for cache operations
---
### 3.2 Configuration Management 🟠
**Impact**: High | **Effort**: Low | **Priority**: P1
**Problem**: Hard-coded settings; no user configuration.
**Solution**: Add configuration file support with pydantic-settings.
**Implementation**:
```python
# src/wemo_mcp_server/config.py
from pathlib import Path
from typing import List
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
"""WeMo MCP Server configuration."""
# Network scanning
default_subnet: str = "192.168.1.0/24"
scan_timeout: float = 0.6
max_workers: int = 60
wemo_ports: List[int] = [49152, 49153, 49154, 49155]
# Caching
cache_enabled: bool = True
cache_dir: Path = Path.home() / ".cache" / "wemo-mcp"
cache_ttl: int = 3600
# Logging
log_level: str = "INFO"
log_format: str = "json" # or "text"
# Performance
retry_attempts: int = 3
retry_base_delay: float = 0.5
retry_max_delay: float = 10.0
# Features
enable_device_monitoring: bool = False
enable_event_subscriptions: bool = False
model_config = SettingsConfigDict(
env_prefix="WEMO_",
env_file=".env",
env_file_encoding="utf-8"
)
settings = Settings()
```
**User Configuration File** (~/.config/wemo-mcp/config.toml):
```toml
[network]
default_subnet = "192.168.1.0/24"
scan_timeout = 0.8
max_workers = 100
[cache]
enabled = true
ttl = 7200 # 2 hours
[logging]
level = "DEBUG"
format = "json"
```
**Benefits**:
- User customization
- Environment-specific settings
- Easier debugging
- Better defaults
**Acceptance Criteria**:
- ✅ Config file support (.env, .toml)
- ✅ Environment variables work
- ✅ Documentation for all settings
- ✅ Sensible defaults
---
### 3.3 Performance Optimization 🟠
**Impact**: Medium | **Effort**: Medium | **Priority**: P2
**Problem**: Sequential operations; no connection pooling.
**Solution**: Optimize hot paths and add caching layers.
**Optimizations**:
1. **Parallel Device Queries**:
```python
async def get_multiple_device_status(
device_identifiers: List[str]
) -> List[Dict[str, Any]]:
"""Get status of multiple devices in parallel."""
tasks = [
get_device_status(identifier)
for identifier in device_identifiers
]
return await asyncio.gather(*tasks)
```
2. **Connection Pooling**:
```python
# src/wemo_mcp_server/connection_pool.py
class DeviceConnectionPool:
"""Pool of device connections for reuse."""
def __init__(self, max_size: int = 10):
self.pool: Dict[str, Any] = {}
self.max_size = max_size
async def get_connection(self, device_ip: str):
"""Get or create device connection."""
if device_ip not in self.pool:
if len(self.pool) >= self.max_size:
# Evict oldest connection
oldest = next(iter(self.pool))
del self.pool[oldest]
self.pool[device_ip] = await self._create_connection(device_ip)
return self.pool[device_ip]
```
3. **Caching Layer**:
```python
from functools import lru_cache, wraps
import time
def cached_with_ttl(ttl: int = 60):
"""Cache function results with TTL."""
def decorator(func):
cache = {}
timestamps = {}
@wraps(func)
async def wrapper(*args, **kwargs):
key = str(args) + str(kwargs)
now = time.time()
if key in cache and now - timestamps[key] < ttl:
return cache[key]
result = await func(*args, **kwargs)
cache[key] = result
timestamps[key] = now
return result
return wrapper
return decorator
@cached_with_ttl(ttl=30)
async def get_device_status_cached(device_identifier: str):
"""Get device status with 30s cache."""
return await get_device_status(device_identifier)
```
**Benefits**:
- Faster response times
- Reduced network overhead
- Better scalability
- Lower device load
**Acceptance Criteria**:
- ✅ 30% faster scans
- ✅ Parallel queries implemented
- ✅ Benchmarks show improvement
- ✅ No functionality regression
---
### 3.4 Event Subscriptions 🟡
**Impact**: Medium | **Effort**: High | **Priority**: P3
**Problem**: Polling-only; no real-time state changes.
**Solution**: Implement pywemo event subscriptions for push notifications.
**Implementation**:
```python
# src/wemo_mcp_server/events.py
from typing import Callable, Dict, Any
import asyncio
class DeviceEventManager:
"""Manage device event subscriptions."""
def __init__(self):
self.subscriptions: Dict[str, Callable] = {}
self._running = False
async def subscribe(self, device: Any, callback: Callable) -> None:
"""Subscribe to device state changes."""
device_id = f"{device.host}:{device.port}"
self.subscriptions[device_id] = callback
# pywemo subscription
device.register_callback(lambda: self._handle_event(device_id))
async def _handle_event(self, device_id: str) -> None:
"""Handle device event."""
callback = self.subscriptions.get(device_id)
if callback:
await callback(device_id)
async def unsubscribe(self, device: Any) -> None:
"""Unsubscribe from device events."""
device_id = f"{device.host}:{device.port}"
if device_id in self.subscriptions:
del self.subscriptions[device_id]
# Usage
event_manager = DeviceEventManager()
async def on_device_change(device_id: str):
"""Handle device state change."""
logger.info(f"Device {device_id} state changed")
# Update cache, notify clients, etc.
await event_manager.subscribe(device, on_device_change)
```
**Benefits**:
- Real-time updates
- Reduced polling
- Better responsiveness
- Lower network usage
**Acceptance Criteria**:
- ✅ Event subscriptions work
- ✅ Automatic reconnection
- ✅ Memory leak free
- ✅ Documentation updated
---
## Phase 4: Code Architecture (Week 9-10)
### 4.1 Code Modularization 🟡
**Impact**: Medium | **Effort**: High | **Priority**: P2
**Problem**: 701-line server.py; hard to maintain and test.
**Solution**: Split into logical modules with clear separation of concerns.
**Proposed Structure**:
```
src/wemo_mcp_server/
├── __init__.py
├── __main__.py
├── server.py # MCP server setup, main entry (50 lines)
├── config.py # Configuration management (80 lines)
├── models.py # Pydantic models (100 lines)
├── cache.py # Device caching (150 lines)
├── scanner.py # WeMoScanner class (200 lines)
├── retry.py # Retry logic (80 lines)
├── events.py # Event subscriptions (150 lines)
├── tools/ # MCP tool implementations
│ ├── __init__.py
│ ├── scan.py # scan_network tool
│ ├── list.py # list_devices tool
│ ├── status.py # get_device_status tool
│ ├── control.py # control_device tool
│ ├── rename.py # rename_device tool
│ └── homekit.py # get_homekit_code tool
└── utils/
├── __init__.py
├── logging.py # Logging utilities
└── device_info.py # Device info extraction
```
**Benefits**:
- Better organization
- Easier testing
- Clear responsibilities
- Improved maintainability
**Acceptance Criteria**:
- ✅ All modules < 200 lines
- ✅ Clear module boundaries
- ✅ All tests still pass
- ✅ Documentation updated
---
## Phase 5: Documentation & DX (Week 11-12)
### 5.1 Architecture Documentation 🟡
**Impact**: Medium | **Effort**: Medium | **Priority**: P2
**Documents to Create**:
1. **ARCHITECTURE.md**:
- System overview diagram
- Component interactions
- Data flow diagrams
- Technology stack
- Design decisions
2. **TROUBLESHOOTING.md**:
- Common issues & solutions
- Debug mode instructions
- Log analysis guide
- Network troubleshooting
3. **API_REFERENCE.md**:
- All MCP tools with examples
- Input/output schemas
- Error codes
- Best practices
4. **FAQ.md**:
- Installation troubleshooting
- Configuration questions
- Feature comparisons
- Migration guides
**Benefits**:
- Easier onboarding
- Reduced support burden
- Better contributor experience
- Professional appearance
---
### 5.2 Developer Experience 🟡
**Impact**: Medium | **Effort**: Medium | **Priority**: P2
**Improvements**:
1. **Pre-commit Hooks** (covered in 1.3)
2. **VS Code Debug Configuration**:
```json
// .vscode/launch.json
{
"version": "0.2.0",
"configurations": [
{
"name": "Debug MCP Server",
"type": "python",
"request": "launch",
"module": "wemo_mcp_server",
"console": "integratedTerminal",
"env": {
"WEMO_LOG_LEVEL": "DEBUG"
}
},
{
"name": "Debug Tests",
"type": "python",
"request": "launch",
"module": "pytest",
"args": ["tests/", "-v"],
"console": "integratedTerminal"
}
]
}
```
3. **Development Docker Container**:
```dockerfile
# Dockerfile.dev
FROM python:3.10-slim
WORKDIR /app
COPY . .
RUN pip install -e ".[dev]"
CMD ["python", "-m", "wemo_mcp_server"]
```
4. **Makefile for Common Tasks**:
```makefile
.PHONY: test lint format install
install:
pip install -e ".[dev]"
test:
pytest tests/ -v --cov
lint:
ruff check src/ tests/
mypy src/
format:
black src/ tests/
isort src/ tests/
ci: lint test
clean:
find . -type d -name __pycache__ -exec rm -rf {} +
find . -type f -name "*.pyc" -delete
rm -rf .pytest_cache .mypy_cache .ruff_cache
```
**Benefits**:
- Faster development
- Consistent environment
- One-command operations
- Better tooling
---
## Phase 6: Security & Observability (Week 13-14)
### 6.1 Security Enhancements 🟠
**Impact**: High | **Effort**: Medium | **Priority**: P1
**Security Improvements**:
1. **Dependency Scanning**:
```yaml
# .github/workflows/security.yml
name: Security Scan
on: [push, pull_request]
jobs:
scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: pypa/gh-action-pip-audit@v1.0.8
- uses: aquasecurity/trivy-action@master
with:
scan-type: 'fs'
scan-ref: '.'
```
2. **Rate Limiting**:
```python
# src/wemo_mcp_server/rate_limit.py
from collections import defaultdict
import time
from typing import Dict
class RateLimiter:
"""Simple rate limiter for device commands."""
def __init__(self, max_requests: int = 10, window: int = 60):
self.max_requests = max_requests
self.window = window
self.requests: Dict[str, list] = defaultdict(list)
def is_allowed(self, device_id: str) -> bool:
"""Check if request is allowed."""
now = time.time()
# Clean old requests
self.requests[device_id] = [
t for t in self.requests[device_id]
if now - t < self.window
]
if len(self.requests[device_id]) < self.max_requests:
self.requests[device_id].append(now)
return True
return False
rate_limiter = RateLimiter(max_requests=10, window=60)
```
3. **Input Sanitization** (covered in 1.5)
4. **Security Audit Checklist**:
- ✅ No hardcoded secrets
- ✅ Input validation everywhere
- ✅ Dependencies scanned
- ✅ Rate limiting implemented
- ✅ Network operations secured
- ✅ Error messages don't leak info
**Benefits**:
- Prevent abuse
- Detect vulnerabilities
- Secure by default
- Compliance ready
---
### 6.2 Structured Logging 🟠
**Impact**: Medium | **Effort**: Low | **Priority**: P2
**Problem**: Basic logging; hard to parse and analyze.
**Solution**: Add structured JSON logging with context.
**Implementation**:
```python
# src/wemo_mcp_server/logging.py
import json
import logging
import sys
from datetime import datetime
from typing import Any, Dict
class StructuredLogger:
"""Structured JSON logger for MCP server."""
def __init__(self, name: str, level: str = "INFO"):
self.logger = logging.getLogger(name)
self.logger.setLevel(getattr(logging, level))
handler = logging.StreamHandler(sys.stderr)
handler.setFormatter(self.JSONFormatter())
self.logger.addHandler(handler)
class JSONFormatter(logging.Formatter):
"""Format logs as JSON."""
def format(self, record: logging.LogRecord) -> str:
log_data = {
"timestamp": datetime.utcnow().isoformat(),
"level": record.levelname,
"logger": record.name,
"message": record.getMessage(),
"module": record.module,
"function": record.funcName,
"line": record.lineno,
}
# Add extra fields if present
if hasattr(record, "extra"):
log_data.update(record.extra)
# Add exception info if present
if record.exc_info:
log_data["exception"] = self.formatException(record.exc_info)
return json.dumps(log_data)
def info(self, message: str, **kwargs: Any) -> None:
"""Log info message with context."""
self.logger.info(message, extra=kwargs)
def error(self, message: str, **kwargs: Any) -> None:
"""Log error message with context."""
self.logger.error(message, extra=kwargs)
def warning(self, message: str, **kwargs: Any) -> None:
"""Log warning message with context."""
self.logger.warning(message, extra=kwargs)
# Usage
logger = StructuredLogger("wemo-mcp-server")
logger.info(
"Device discovered",
device_name="Office Light",
device_ip="192.168.1.100",
device_type="Dimmer"
)
```
**Benefits**:
- Easier log parsing
- Better monitoring
- Context-rich logs
- Analysis-friendly
**Acceptance Criteria**:
- ✅ JSON logging implemented
- ✅ All logs include context
- ✅ Performance impact minimal
- ✅ Human-readable fallback
---
### 6.3 Metrics & Monitoring 🟡
**Impact**: Low | **Effort**: Medium | **Priority**: P3
**Problem**: No visibility into runtime behavior and performance.
**Solution**: Add basic metrics collection.
**Implementation**:
```python
# src/wemo_mcp_server/metrics.py
from dataclasses import dataclass, field
from time import time
from typing import Dict, List
@dataclass
class Metrics:
"""Runtime metrics collector."""
# Counters
scans_total: int = 0
devices_discovered: int = 0
commands_sent: int = 0
commands_failed: int = 0
# Timing
scan_durations: List[float] = field(default_factory=list)
command_durations: List[float] = field(default_factory=list)
# Cache
cache_hits: int = 0
cache_misses: int = 0
def record_scan(self, duration: float, device_count: int) -> None:
"""Record scan metrics."""
self.scans_total += 1
self.devices_discovered += device_count
self.scan_durations.append(duration)
def record_command(self, duration: float, success: bool) -> None:
"""Record command metrics."""
self.commands_sent += 1
if not success:
self.commands_failed += 1
self.command_durations.append(duration)
def get_stats(self) -> Dict:
"""Get current statistics."""
return {
"scans": {
"total": self.scans_total,
"avg_duration": sum(self.scan_durations) / len(self.scan_durations) if self.scan_durations else 0,
"total_devices": self.devices_discovered,
},
"commands": {
"total": self.commands_sent,
"failed": self.commands_failed,
"success_rate": (self.commands_sent - self.commands_failed) / self.commands_sent if self.commands_sent else 0,
"avg_duration": sum(self.command_durations) / len(self.command_durations) if self.command_durations else 0,
},
"cache": {
"hits": self.cache_hits,
"misses": self.cache_misses,
"hit_rate": self.cache_hits / (self.cache_hits + self.cache_misses) if (self.cache_hits + self.cache_misses) else 0,
}
}
metrics = Metrics()
# Add metrics endpoint (optional)
@mcp.tool()
async def get_server_metrics() -> Dict[str, Any]:
"""Get server runtime metrics."""
return metrics.get_stats()
```
**Benefits**:
- Operational visibility
- Performance tracking
- Capacity planning
- Debugging aid
---
## Phase 7: Advanced Features (Week 15+)
### 7.1 MCP Resources 🟡
**Impact**: Medium | **Effort**: Medium | **Priority**: P2
**Problem**: Devices not exposed as MCP resources.
**Solution**: Implement MCP resource endpoints for device discovery.
**Implementation**:
```python
@mcp.resource("device://{device_id}")
async def get_device_resource(device_id: str) -> Dict[str, Any]:
"""Get device as MCP resource."""
device = _device_cache.get(device_id)
if not device:
raise ValueError(f"Device {device_id} not found")
return {
"uri": f"device://{device_id}",
"name": device.name,
"mimeType": "application/json",
"content": extract_device_info(device)
}
@mcp.resource("devices://")
async def list_device_resources() -> List[Dict[str, Any]]:
"""List all devices as resources."""
return [
{
"uri": f"device://{name}",
"name": name,
"mimeType": "application/json"
}
for name in _device_cache.keys()
if isinstance(name, str) and not name.replace('.', '').isdigit()
]
```
**Benefits**:
- Better MCP integration
- Resource discovery
- Standard protocol
- Client compatibility
---
### 7.2 Multi-Subnet Support 🟢
**Impact**: Low | **Effort**: High | **Priority**: P3
**Problem**: Can only scan one subnet at a time.
**Solution**: Add multi-subnet scanning capability.
**Implementation**:
```python
@mcp.tool()
async def scan_multiple_networks(
subnets: List[str],
timeout: float = 0.6,
max_workers: int = 60
) -> Dict[str, Any]:
"""Scan multiple subnets concurrently."""
tasks = [
scan_network(subnet, timeout, max_workers)
for subnet in subnets
]
results = await asyncio.gather(*tasks, return_exceptions=True)
all_devices = []
for result in results:
if isinstance(result, dict) and "devices" in result:
all_devices.extend(result["devices"])
return {
"subnets_scanned": len(subnets),
"total_devices": len(all_devices),
"devices": all_devices
}
```
**Benefits**:
- VLAN support
- Complex networks
- Enterprise use
- Better coverage
---
### 7.3 Device Simulator 🟢
**Impact**: Low | **Effort**: High | **Priority**: P3
**Problem**: Testing requires real hardware.
**Solution**: Create software simulator for development.
**Implementation**:
```python
# tests/simulator.py
from http.server import HTTPServer, BaseHTTPRequestHandler
import threading
class MockWeMoDevice:
"""Simulated WeMo device for testing."""
def __init__(self, name: str, device_type: str, port: int):
self.name = name
self.type = device_type
self.port = port
self.state = 0
self.brightness = 50
self.server = None
def start(self):
"""Start HTTP server."""
handler = self._create_handler()
self.server = HTTPServer(('', self.port), handler)
thread = threading.Thread(target=self.server.serve_forever)
thread.daemon = True
thread.start()
def stop(self):
"""Stop HTTP server."""
if self.server:
self.server.shutdown()
def _create_handler(self):
"""Create HTTP request handler."""
device = self
class DeviceHandler(BaseHTTPRequestHandler):
def do_GET(self):
if self.path == '/setup.xml':
self.send_response(200)
self.send_header('Content-Type', 'text/xml')
self.end_headers()
self.wfile.write(device._get_setup_xml().encode())
def do_POST(self):
# Handle SOAP requests
pass
return DeviceHandler
def _get_setup_xml(self):
"""Generate setup.xml response."""
return f'''<?xml version="1.0"?>
<root>
<device>
<friendlyName>{self.name}</friendlyName>
<deviceType>urn:Belkin:device:{self.type}:1</deviceType>
</device>
</root>'''
# Usage in tests
@pytest.fixture
def mock_wemo_network():
"""Create simulated WeMo network."""
devices = [
MockWeMoDevice("Office Light", "Dimmer", 49152),
MockWeMoDevice("Living Room", "Switch", 49153),
]
for device in devices:
device.start()
yield devices
for device in devices:
device.stop()
```
**Benefits**:
- Test without hardware
- Deterministic tests
- CI friendly
- Faster development
---
## Implementation Roadmap
### Sprint 1-2 (Weeks 1-4): Foundation
**Focus**: Quality & Testing
- Week 1: CI/CD pipeline, code quality automation
- Week 2: Test coverage reporting, input validation
- Week 3: Expanded unit tests (60+ tests)
- Week 4: Error handling, retry logic
**Deliverables**:
- ✅ CI/CD workflow with quality gates
- ✅ 85%+ test coverage
- ✅ Pre-commit hooks configured
- ✅ Input validation with pydantic
- ✅ Robust error handling
**Success Metrics**:
- All PRs must pass CI checks
- Test coverage ≥ 85%
- Zero critical bugs
- Code quality score: A+
---
### Sprint 3-4 (Weeks 5-8): Features & Performance
**Focus**: User Experience
- Week 5: Persistent cache, configuration management
- Week 6: Performance optimization, benchmarking
- Week 7: Event subscriptions (if applicable)
- Week 8: Integration testing, bug fixes
**Deliverables**:
- ✅ Persistent device cache
- ✅ Configuration file support
- ✅ 30% faster scans
- ✅ Performance benchmarks
**Success Metrics**:
- Cache survives restarts
- User-configurable settings
- Scan time < 25s for /24
- No performance regressions
---
### Sprint 5-6 (Weeks 9-12): Architecture & Docs
**Focus**: Maintainability
- Week 9: Code modularization (split server.py)
- Week 10: Refactoring, cleanup
- Week 11: Documentation overhaul
- Week 12: Developer experience improvements
**Deliverables**:
- ✅ Modular code structure
- ✅ Comprehensive documentation
- ✅ Dev tooling (Docker, Makefile, debug configs)
- ✅ Architecture diagrams
**Success Metrics**:
- No file > 200 lines
- All docs updated
- Developer onboarding < 30 min
- Clear architecture
---
### Sprint 7-8 (Weeks 13-14): Security & Observability
**Focus**: Production Readiness
- Week 13: Security hardening, dependency scanning
- Week 14: Structured logging, metrics
**Deliverables**:
- ✅ Security scan in CI
- ✅ Rate limiting implemented
- ✅ Structured JSON logging
- ✅ Runtime metrics
**Success Metrics**:
- Zero high-severity vulnerabilities
- All security best practices followed
- Logs are parseable
- Metrics available
---
### Sprint 9+ (Week 15+): Advanced Features
**Focus**: Innovation
- MCP resources
- Multi-subnet support
- Device simulator
- Additional device type support
**Deliverables**:
- ✅ MCP resources implemented
- ✅ Optional advanced features
**Success Metrics**:
- Feature completeness
- User satisfaction
- Community adoption
---
## Success Criteria
### Technical Metrics
- ✅ Test coverage: 85%+
- ✅ CI/CD: 5+ automated checks
- ✅ Code quality: A+ (ruff, mypy, black)
- ✅ Performance: < 25s scans
- ✅ Security: Zero high-severity issues
- ✅ Documentation: 95% coverage
### Project Health
- ✅ Build: Passing on all commits
- ✅ Dependencies: All up-to-date
- ✅ Issues: < 10 open bugs
- ✅ PRs: < 3 day review time
- ✅ Community: Active discussions
### User Satisfaction
- ✅ Installation: < 2 minutes
- ✅ Onboarding: < 30 minutes
- ✅ Bug reports: < 5 per month
- ✅ Feature requests: Prioritized roadmap
- ✅ Support: < 24h response time
---
## Risk Management
### High Risks
1. **Breaking Changes**: Modularization may break existing integrations
- Mitigation: Comprehensive tests, gradual rollout, deprecation warnings
2. **Performance Regression**: Optimizations may introduce bugs
- Mitigation: Benchmarks in CI, canary deployments
3. **Resource Constraints**: Limited development time
- Mitigation: Prioritize critical items, automate where possible
### Medium Risks
4. **Dependency Vulnerabilities**: New deps may have security issues
- Mitigation: Automated scanning, minimal dependencies
5. **Test Maintenance**: Large test suite may become burden
- Mitigation: Good test design, regular cleanup
### Low Risks
6. **Documentation Drift**: Docs may become outdated
- Mitigation: Docs in CI, review process
---
## Maintenance Plan
### Weekly
- Review and triage new issues
- Merge approved PRs
- Update dependencies
- Review metrics and logs
### Monthly
- Security audit
- Performance review
- Documentation review
- Roadmap adjustment
### Quarterly
- Major version planning
- Community survey
- Architecture review
- Dependency upgrade cycle
---
## Conclusion
This improvement plan transforms the WeMo MCP Server from a production-ready project to a **best-in-class** MCP implementation with:
✅ **World-class quality**: 85%+ test coverage, automated checks
✅ **Exceptional performance**: Optimized scanning, caching, parallelization
✅ **Professional architecture**: Modular, maintainable, well-documented
✅ **Production-grade security**: Hardened, audited, rate-limited
✅ **Outstanding UX**: Configurable, fast, reliable
**Estimated Timeline**: 14-16 weeks for complete implementation
**Effort**: ~200 hours total development time
**Team Size**: 1-2 developers
**Risk Level**: Low (incremental improvements)
**Next Steps**: Review and approve this plan, then begin Sprint 1 immediately.
---
**Last Updated**: February 21, 2026
**Version**: 1.0
**Status**: Awaiting approval
