# Targetprocess MCP Server Refactoring Plan
## Architectural Vision
This refactoring will implement a **semantic operation architecture** inspired by the WordPress MCP, transforming the server from a technical API wrapper into an intelligent assistant that understands project management workflows.
### Key Architectural Patterns
1. **Semantic Operations** - Map user intent to workflows, not CRUD operations
2. **Personality-Based Tool Exposure** - Role-specific toolkits via personalities.json
3. **Composable Workflows** - Tools provide semantic hints for natural workflow progression
See [Semantic Architecture Plan](docs/development/semantic-architecture-plan.md) for detailed design.
## Completed Groundwork
### 1. ✅ Test Infrastructure
- Created comprehensive test mocks (`tp-service.mock.ts`)
- Added test suites for search and get tools
- Created TPService tests documenting current behavior
- Established testing patterns for future development
### 2. ✅ Entity Registry
- Created central `EntityRegistry` class eliminating duplication
- All tools now use the same entity type source
- Added support for runtime registration of custom entities
- Categorized entities (Assignable, Project, Planning, System)
### 3. ✅ Interface Definitions
Created comprehensive interfaces for future implementation:
- **Core Services**: `ITPService`, `ITPHttpClient`, `ITPAuthService`
- **Query Building**: `IQueryBuilder` with fluent API design
- **Repository Pattern**: `IEntityRepository`, `IAssignableRepository`
- **Configuration**: `IConfigService`, `IConfigLoader`
- **Error Handling**: `IErrorHandler`, `ILogger`, `IMetricsCollector`
- **Agent Testing**: `IAgentTestRunner` for usability testing
## Next Steps for Refactoring
### Phase 1: Service Layer Decomposition (High Priority)
Break down the monolithic `TPService` class:
1. **TPHttpClient**
- Extract HTTP request logic
- Implement retry mechanism
- Add request/response interceptors
2. **TPAuthService**
- Handle authentication (basic auth, API key)
- Token management if needed
- Auth validation
3. **TPQueryBuilder**
- Implement fluent query builder
- Replace string concatenation with proper query construction
- Add query validation
4. **TPEntityService**
- Core CRUD operations
- Use repository pattern
- Entity validation
### Phase 2: Type Safety Improvements (Medium Priority)
1. Create proper TypeScript types for all API responses
2. Replace `any` types throughout codebase
3. Add runtime validation with Zod schemas
4. Create DTOs for request/response mapping
### Phase 3: Configuration Management (Medium Priority)
1. Extract configuration to dedicated service
2. Support multiple config sources (env, file, API)
3. Add config validation
4. Support hot-reloading
### Phase 4: Testing Enhancement
1. Add integration tests with real API calls
2. Implement agent usability testing framework
3. Add performance benchmarks
4. Create E2E test scenarios
### Phase 5: Performance Optimization
1. Implement request caching
2. Add request batching for multiple operations
3. Optimize entity type discovery
4. Add connection pooling
## Implementation Guidelines
### 1. Maintain Backward Compatibility
- Keep existing public APIs working
- Use adapter pattern where needed
- Deprecate old methods gradually
### 2. Incremental Refactoring
- One service at a time
- Comprehensive tests before refactoring
- Feature flags for new implementations
### 3. Documentation
- Update docs as you refactor
- Add JSDoc comments
- Create migration guides
### 4. Code Quality Standards
- No functions > 50 lines
- Max 3 levels of nesting
- Clear separation of concerns
- Dependency injection where possible
## Success Metrics
1. **Code Quality**
- Reduced cyclomatic complexity
- Better test coverage (aim for 80%+)
- No circular dependencies
- Clear module boundaries
2. **Performance**
- Faster response times
- Reduced memory usage
- Better error recovery
- Efficient caching
3. **Developer Experience**
- Easier to add new features
- Clear debugging paths
- Better error messages
- Comprehensive documentation
4. **Agent Usability**
- Higher success rate in agent tests
- Clearer tool descriptions
- Better error handling
- More efficient workflows
## Risk Mitigation
1. **Breaking Changes**
- Use semantic versioning
- Maintain compatibility layer
- Provide migration tools
2. **Performance Regression**
- Benchmark before/after
- Load test critical paths
- Monitor production metrics
3. **Feature Parity**
- Comprehensive test suite
- Feature flag rollout
- Gradual migration
## Semantic Architecture Implementation
### Phase 1: Foundation
1. Implement personality configuration system
2. Create feature registry and semantic operation interfaces
3. Build context management for execution state
4. Set up role-based tool filtering
### Phase 2: Core Semantic Operations
1. Implement developer operations
- show-my-tasks (with semantic hints)
- start-working-on
- complete-task
- update-progress
2. Implement product owner operations
- manage-backlog
- prioritize-features
- plan-iteration
### Phase 3: Integration
1. Wire semantic layer to existing tools
2. Implement natural language intent mapping
3. Add workflow orchestration
4. Create personality-specific tool filtering
### Phase 4: Intelligence Layer
1. Context inference from conversation
2. Smart operation suggestions
3. Workflow optimization
4. Learning from usage patterns
## Quick Wins (Can do immediately)
1. Add more comprehensive error messages
2. Improve tool descriptions for agents
3. Add request logging for debugging
4. Create developer documentation
5. Add basic performance metrics