# Enhanced Everything MCP Server Design
## Overview
The Enhanced Everything MCP Server transforms the existing file search tool into a comprehensive spec-driven development platform that integrates deeply with Kiro IDE's workflow. The design builds upon the current MCP architecture while adding GitHub integration, a Terminal User Interface (TUI), advanced specification-driven tools, and enhanced logging capabilities.
## Architecture
### High-Level Architecture
```mermaid
graph TB
subgraph "Kiro IDE Environment"
K[Kiro IDE]
T[Terminal/TUI]
C[Chat Interface]
end
subgraph "Enhanced MCP Server"
MS[MCP Server Core]
GI[GitHub Integration]
SS[Spec Search Engine]
TUI[TUI Controller]
LH[Logging Harness]
end
subgraph "External Services"
GM[GitHub MCP]
ES[Everything Search]
GH[GitHub API]
VT[Voidtools Suite]
end
subgraph "Data Layer"
TC[Trace Cache]
SC[Spec Cache]
FC[File Cache]
end
K --> MS
T --> TUI
C --> MS
MS --> GI
MS --> SS
MS --> TUI
MS --> LH
GI --> GM
GI --> GH
SS --> ES
SS --> VT
LH --> TC
SS --> SC
MS --> FC
```
### Component Architecture
The enhanced server follows a modular architecture with clear separation of concerns:
1. **MCP Server Core**: Handles MCP protocol communication and tool routing
2. **GitHub Integration Layer**: Manages GitHub MCP communication and API calls
3. **Spec Search Engine**: Provides specification-aware search capabilities
4. **TUI Controller**: Manages terminal user interface interactions
5. **Logging Harness**: Comprehensive logging and debugging system
6. **Cache Layer**: Performance optimization through intelligent caching
## Components and Interfaces
### 1. Enhanced MCP Server Core
**Purpose**: Extended version of the current MCP server with additional capabilities
**Key Interfaces**:
```typescript
interface EnhancedMCPServer extends MCPServer {
// GitHub integration
githubIntegration: GitHubIntegration;
// Spec-driven tools
specSearchEngine: SpecSearchEngine;
// TUI management
tuiController: TUIController;
// Enhanced logging
loggingHarness: LoggingHarness;
// Installation utilities
installationManager: InstallationManager;
}
```
**New Tools**:
- `everything_search_specs`: Specification-aware search
- `everything_github_search`: Combined local/GitHub search
- `everything_deep_research`: Intent-based code research across public repos
- `everything_build_knowledge`: Build and query SQLite knowledge base
- `everything_export_csv`: Export search results to CSV using ES tools
- `everything_suggest_implementation`: Generate implementation suggestions from specs
- `everything_discover_concepts`: Find adjacent concepts and patterns
- `everything_project_summary`: Project overview generation
- `everything_spec_report`: Specification status reporting
- `everything_tui_launch`: Launch TUI interface
- `everything_install_kiro`: One-click Kiro installation
### 2. GitHub Integration Layer
**Purpose**: Seamless integration with GitHub MCP server and GitHub API
**Key Interfaces**:
```typescript
interface GitHubIntegration {
// MCP integration
connectToGitHubMCP(): Promise<boolean>;
searchRepositories(query: string, options: SearchOptions): Promise<GitHubSearchResult[]>;
// Direct API integration
getRepositoryInfo(repo: string): Promise<RepositoryInfo>;
getFileHistory(repo: string, path: string): Promise<FileHistory>;
searchCode(query: string, repo?: string): Promise<CodeSearchResult[]>;
// Combined operations
searchLocalAndRemote(query: string): Promise<CombinedSearchResult>;
}
interface CombinedSearchResult {
local: SearchResult[];
github: GitHubSearchResult[];
crossReferences: CrossReference[];
}
```
**Features**:
- Automatic GitHub MCP detection and connection
- Fallback to direct GitHub API if MCP unavailable
- Cross-referencing between local and remote files
- Repository metadata integration
- Commit history and PR status for files
### 3. Intelligent Research Search Engine
**Purpose**: Advanced search capabilities with deep code research, intent-based discovery, and knowledge base building
**Key Interfaces**:
```typescript
interface IntelligentSearchEngine {
// Spec-aware search
searchSpecifications(query: string, options: SpecSearchOptions): Promise<SpecSearchResult[]>;
// Deep research capabilities
performDeepCodeResearch(spec: SpecificationDocument): Promise<DeepResearchResult>;
searchByIntent(intent: IntentQuery): Promise<IntentSearchResult[]>;
discoverAdjacentConcepts(concept: string): Promise<ConceptMap>;
// Knowledge base management
buildLibraryIndex(repositories: Repository[]): Promise<LibraryIndex>;
queryKnowledgeBase(query: KnowledgeQuery): Promise<KnowledgeResult[]>;
updateKnowledgeBase(newFindings: ResearchFindings): Promise<void>;
// Export and analysis
exportToCsv(results: SearchResult[], format: CsvFormat): Promise<string>;
generateImplementationSuggestions(spec: SpecificationDocument): Promise<ImplementationSuggestion[]>;
// Project analysis
analyzeProjectStructure(): Promise<ProjectStructure>;
generateProjectSummary(): Promise<ProjectSummary>;
// Traceability
findRequirementTraces(requirementId: string): Promise<TraceabilityResult>;
validateSpecificationCoverage(): Promise<CoverageReport>;
}
interface SpecSearchResult extends SearchResult {
documentType: 'requirements' | 'design' | 'tasks' | 'implementation' | 'test';
specificationId?: string;
requirementReferences: string[];
completionStatus: 'not_started' | 'in_progress' | 'completed';
lastModified: Date;
relatedFiles: string[];
}
```
**Deep Research Features**:
- **Intent-Based Search**: Analyze specification goals and search for matching code patterns
- **Concept Discovery**: Find adjacent concepts and related implementation approaches
- **Pattern Recognition**: Identify common patterns that match specification requirements
- **Knowledge Base Building**: Accumulate findings in SQLite database over time
- **CSV Export Integration**: Leverage ES tools for structured data export
- **Implementation Suggestions**: Generate code suggestions based on research findings
**Traditional Features**:
- Document type classification (requirements, design, tasks, etc.)
- Specification metadata extraction
- Requirement traceability analysis
- Cross-reference detection between specs and implementation
- Completion status tracking
**Deep Research Interfaces**:
```typescript
interface DeepResearchResult {
query: IntentQuery;
repositories: RepositoryMatch[];
codePatterns: CodePattern[];
implementationApproaches: ImplementationApproach[];
relatedConcepts: ConceptMap;
confidenceScore: number;
exportPath?: string; // CSV export location
}
interface IntentQuery {
specification: SpecificationDocument;
goals: string[];
constraints: string[];
preferredLanguages: string[];
architecturalPatterns: string[];
searchDepth: 'shallow' | 'medium' | 'deep';
}
interface RepositoryMatch {
repository: string;
relevanceScore: number;
matchingFiles: FileMatch[];
implementationQuality: QualityMetrics;
licenseCompatibility: boolean;
lastActivity: Date;
stars: number;
forks: number;
}
interface CodePattern {
pattern: string;
description: string;
examples: CodeExample[];
frequency: number;
repositories: string[];
applicability: ApplicabilityScore;
}
interface KnowledgeBase {
// SQLite schema
repositories: Repository[];
codePatterns: CodePattern[];
concepts: Concept[];
implementations: Implementation[];
relationships: Relationship[];
// Query interface
query(sql: string): Promise<any[]>;
addFindings(findings: ResearchFindings): Promise<void>;
buildIndex(field: string): Promise<void>;
exportCsv(table: string, filters?: any): Promise<string>;
}
```
### 4. Terminal User Interface (TUI)
**Purpose**: Rich terminal interface for interactive search and project management
**Key Interfaces**:
```typescript
interface TUIController {
// TUI lifecycle
launch(): Promise<void>;
shutdown(): Promise<void>;
// Screen management
showDashboard(): void;
showSearchInterface(): void;
showSpecificationReport(): void;
showProjectSummary(): void;
// User interaction
handleKeyboardInput(key: string): void;
updateDisplay(data: any): void;
}
```
**TUI Screens**:
1. **Dashboard Screen**:
- Project overview with key metrics
- Recent search history
- Specification status summary
- Quick action buttons
2. **Search Interface**:
- Real-time search with live filtering
- Multiple search modes (local, GitHub, combined)
- Result categorization and sorting
- File preview capabilities
3. **Specification Report**:
- Requirements coverage matrix
- Task completion progress
- Traceability visualization
- Gap analysis
4. **Project Summary**:
- File type distribution
- Recent activity timeline
- Contributor statistics
- Code quality metrics
5. **Deep Research Interface**:
- Intent-based search configuration
- Research progress monitoring
- Pattern discovery visualization
- Knowledge base query interface
6. **Implementation Suggestions**:
- AI-generated implementation recommendations
- Code pattern library browser
- Quality-scored alternatives
- License compatibility matrix
**TUI Framework**: Built using `blessed` or `ink` for rich terminal interfaces with:
- Keyboard navigation
- Mouse support
- Responsive layouts
- Color themes
- Progress indicators
### 5. Logging Harness
**Purpose**: Comprehensive logging, debugging, and testing framework
**Key Interfaces**:
```typescript
interface LoggingHarness {
// Structured logging
logOperation(operation: string, data: any, level: LogLevel): Promise<void>;
logError(error: Error, context: any): Promise<void>;
logPerformance(operation: string, duration: number, metadata: any): Promise<void>;
// Testing framework
runHelloWorldTest(): Promise<TestResult>;
runIntegrationTests(): Promise<TestResult[]>;
validateConfiguration(): Promise<ValidationResult>;
// Debug utilities
captureSystemState(): Promise<SystemState>;
generateDebugReport(): Promise<DebugReport>;
}
```
**Logging Features**:
- Structured JSON logging with correlation IDs
- Performance metrics collection
- Error tracking with stack traces
- Operation tracing for debugging
- Log aggregation and analysis
**Testing Framework**:
- Hello World test covering all major functionality
- Integration tests for GitHub MCP connection
- Everything service validation
- TUI component testing
- Configuration validation
### 6. Installation Manager
**Purpose**: One-click installation and configuration for Kiro IDE
**Key Interfaces**:
```typescript
interface InstallationManager {
// Installation
installForKiro(): Promise<InstallationResult>;
detectKiroConfiguration(): Promise<KiroConfig>;
generateMCPConfiguration(): Promise<MCPConfig>;
// Validation
validateDependencies(): Promise<DependencyCheck>;
verifyInstallation(): Promise<VerificationResult>;
// Updates
checkForUpdates(): Promise<UpdateInfo>;
performUpdate(): Promise<UpdateResult>;
}
```
## Deep Research Architecture
### Intent-Based Search Pipeline
```mermaid
graph TB
subgraph "Research Pipeline"
SP[Spec Parser]
IG[Intent Generator]
CS[Concept Searcher]
GH[GitHub Crawler]
PA[Pattern Analyzer]
KB[Knowledge Base]
EX[CSV Exporter]
end
subgraph "Data Processing"
NLP[NLP Processing]
ML[Pattern Matching]
QL[Quality Assessment]
REL[Relevance Scoring]
end
subgraph "Storage Layer"
SQL[SQLite Database]
IDX[Search Indexes]
CSV[CSV Exports]
CACHE[Pattern Cache]
end
SP --> IG
IG --> CS
CS --> GH
GH --> PA
PA --> KB
KB --> EX
IG --> NLP
PA --> ML
GH --> QL
ML --> REL
KB --> SQL
SQL --> IDX
EX --> CSV
PA --> CACHE
```
### Research Workflow
1. **Specification Analysis**: Parse requirements and design documents to extract goals, constraints, and technical requirements
2. **Intent Generation**: Convert specification goals into searchable intent queries with related concepts
3. **Concept Discovery**: Use NLP to find adjacent concepts and alternative approaches
4. **Repository Search**: Search GitHub using multiple strategies (keyword, topic, code search)
5. **Pattern Analysis**: Analyze found code for patterns that match specification requirements
6. **Quality Assessment**: Evaluate code quality, license compatibility, and maintenance status
7. **Knowledge Storage**: Store findings in SQLite database with full-text search capabilities
8. **CSV Export**: Export structured data using ES tools for further analysis
9. **Implementation Suggestions**: Generate actionable implementation recommendations
### SQLite Knowledge Base Schema
```sql
-- Repositories table
CREATE TABLE repositories (
id INTEGER PRIMARY KEY,
full_name TEXT UNIQUE,
description TEXT,
language TEXT,
stars INTEGER,
forks INTEGER,
license TEXT,
last_activity DATE,
quality_score REAL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Code patterns table
CREATE TABLE code_patterns (
id INTEGER PRIMARY KEY,
pattern_hash TEXT UNIQUE,
pattern_type TEXT,
description TEXT,
code_snippet TEXT,
language TEXT,
frequency INTEGER DEFAULT 1,
confidence_score REAL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Concepts and relationships
CREATE TABLE concepts (
id INTEGER PRIMARY KEY,
name TEXT UNIQUE,
description TEXT,
category TEXT,
related_terms TEXT, -- JSON array
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Implementation approaches
CREATE TABLE implementations (
id INTEGER PRIMARY KEY,
repository_id INTEGER,
pattern_id INTEGER,
file_path TEXT,
approach_description TEXT,
complexity_score REAL,
maintainability_score REAL,
FOREIGN KEY (repository_id) REFERENCES repositories(id),
FOREIGN KEY (pattern_id) REFERENCES code_patterns(id)
);
-- Research sessions
CREATE TABLE research_sessions (
id INTEGER PRIMARY KEY,
specification_hash TEXT,
intent_query TEXT,
results_count INTEGER,
execution_time REAL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Full-text search indexes
CREATE VIRTUAL TABLE repositories_fts USING fts5(
full_name, description, content='repositories', content_rowid='id'
);
CREATE VIRTUAL TABLE patterns_fts USING fts5(
description, code_snippet, content='code_patterns', content_rowid='id'
);
```
## Data Models
### Enhanced Search Result
```typescript
interface EnhancedSearchResult {
// Base search result
path: string;
name: string;
size?: number;
modified?: string;
type: 'file' | 'folder';
// GitHub integration
githubInfo?: {
repository: string;
branch: string;
commitHash: string;
lastCommitMessage: string;
pullRequestStatus?: string;
issueReferences: string[];
};
// Specification context
specContext?: {
documentType: DocumentType;
specificationId: string;
requirementReferences: string[];
implementationStatus: ImplementationStatus;
relatedFiles: string[];
lastReviewDate?: Date;
};
// Performance metadata
searchMetadata: {
searchTime: number;
cacheHit: boolean;
relevanceScore: number;
};
}
```
### Project Structure Model
```typescript
interface ProjectStructure {
rootPath: string;
specificationFiles: SpecificationFile[];
implementationFiles: ImplementationFile[];
testFiles: TestFile[];
documentationFiles: DocumentationFile[];
// Relationships
traceabilityMatrix: TraceabilityMatrix;
dependencyGraph: DependencyGraph;
// Metrics
metrics: {
totalFiles: number;
specificationCoverage: number;
testCoverage: number;
lastAnalyzed: Date;
};
}
```
## Error Handling
### Error Categories
1. **Everything Service Errors**: Handle es.exe unavailability, permission issues
2. **GitHub Integration Errors**: API rate limits, authentication failures, network issues
3. **TUI Errors**: Terminal compatibility, rendering issues, input handling
4. **Configuration Errors**: Invalid settings, missing dependencies
5. **Performance Errors**: Memory limits, timeout issues, cache failures
### Error Recovery Strategies
- **Graceful Degradation**: Fall back to basic functionality when advanced features fail
- **Retry Logic**: Automatic retry with exponential backoff for transient failures
- **User Notification**: Clear error messages with actionable recovery steps
- **Logging**: Comprehensive error logging for debugging and monitoring
## Testing Strategy
### Test Categories
1. **Unit Tests**:
- Individual tool functionality
- Data model validation
- Utility function testing
- Error handling verification
2. **Integration Tests**:
- MCP protocol communication
- GitHub MCP integration
- Everything service integration
- TUI component interaction
3. **End-to-End Tests**:
- Complete workflow testing
- Kiro IDE integration
- Performance benchmarking
- User scenario validation
4. **Hello World Test Suite**:
```typescript
interface HelloWorldTest {
testEverythingConnection(): Promise<TestResult>;
testGitHubIntegration(): Promise<TestResult>;
testTUILaunch(): Promise<TestResult>;
testSpecificationSearch(): Promise<TestResult>;
testLoggingHarness(): Promise<TestResult>;
runFullWorkflow(): Promise<TestResult>;
}
```
### Performance Testing
- Search performance benchmarks
- Memory usage monitoring
- TUI responsiveness testing
- Cache effectiveness measurement
- GitHub API rate limit handling
### Compatibility Testing
- Windows version compatibility
- Node.js version testing
- Kiro IDE version compatibility
- Terminal emulator testing
## Security Considerations
1. **GitHub Authentication**: Secure token handling and storage
2. **File System Access**: Proper permission validation and sandboxing
3. **Command Execution**: Safe execution of es.exe with input validation
4. **Network Security**: HTTPS enforcement for GitHub API calls
5. **Logging Security**: Sanitization of sensitive data in logs
## Performance Optimization
1. **Caching Strategy**:
- Search result caching with TTL
- GitHub API response caching
- Specification metadata caching
- File system metadata caching
2. **Lazy Loading**:
- TUI component lazy initialization
- GitHub integration on-demand loading
- Large result set pagination
3. **Background Processing**:
- Asynchronous logging
- Background cache warming
- Periodic specification analysis
4. **Resource Management**:
- Memory usage monitoring
- Connection pooling for GitHub API
- Efficient data structures for large result sets
