This document details the various workflows supported by MCP Codebase Insight, including both user-facing and system-level processes. These workflows are designed to help developers effectively use and interact with the system's features.

• User Workflows
  • Code Analysis
  • Documentation Management
  • Testing
• System Workflows
  • Vector Store Operations
  • Health Monitoring
• Integration Points
• Best Practices
• Troubleshooting
• Next Steps

graph TD
    A[Developer] -->|Submit Code| B[Analysis Request]
    B --> C{Analysis Type}
    C -->|Pattern Detection| D[Pattern Analysis]
    C -->|Semantic Search| E[Vector Search]
    C -->|Documentation| F[Doc Analysis]
    D --> G[Results]
    E --> G
    F --> G
    G -->|Display| A

1. Submit Code

   • Upload code files or provide repository URL
   • Specify analysis parameters
   • Set analysis scope

2. Analysis Processing

   • Pattern detection runs against known patterns
   • Semantic search finds similar code
   • Documentation analysis checks coverage

3. Results Review

   • View detected patterns
   • Review suggestions
   • Access related documentation

graph TD
    A[Developer] -->|Create/Update| B[Documentation]
    B --> C{Doc Type}
    C -->|ADR| D[ADR Processing]
    C -->|API| E[API Docs]
    C -->|Guide| F[User Guide]
    D --> G[Link Analysis]
    E --> G
    F --> G
    G -->|Update| H[Doc Map]
    H -->|Validate| A

1. Create/Update Documentation

   • Choose document type
   • Write content
   • Add metadata

2. Processing

   • Analyze document relationships
   • Update documentation map
   • Validate links

3. Validation

   • Check for broken links
   • Verify consistency
   • Update references

graph TD
    A[Developer] -->|Run Tests| B[Test Suite]
    B --> C{Test Type}
    C -->|Unit| D[Unit Tests]
    C -->|Integration| E[Integration Tests]
    C -->|SSE| F[SSE Tests]
    D --> G[Results]
    E --> G
    F --> G
    G -->|Report| A

1. Test Initialization

   • Set up test environment
   • Configure test parameters
   • Prepare test data

2. Test Execution

   • Run selected test types
   • Monitor progress
   • Collect results

3. Results Analysis

   • Review test reports
   • Analyze failures
   • Generate coverage reports

sequenceDiagram
    participant User
    participant Server
    participant Cache
    participant VectorStore
    participant Knowledge
    
    User->>Server: Request Analysis
    Server->>Cache: Check Cache
    Cache-->>Server: Cache Hit/Miss
    
    alt Cache Miss
        Server->>VectorStore: Generate Embeddings
        VectorStore->>Knowledge: Get Patterns
        Knowledge-->>VectorStore: Return Patterns
        VectorStore-->>Server: Return Results
        Server->>Cache: Update Cache
    end
    
    Server-->>User: Return Analysis

1. Cache Layer

   • In-memory cache for frequent requests
   • Disk cache for larger datasets
   • Cache invalidation strategy

2. Vector Store

   • Embedding generation
   • Vector search
   • Pattern matching

3. Knowledge Base

   • Pattern storage
   • Relationship tracking
   • Context management

sequenceDiagram
    participant Monitor
    participant Components
    participant Tasks
    participant Alerts
    
    loop Every 30s
        Monitor->>Components: Check Status
        Components->>Tasks: Verify Tasks
        Tasks-->>Components: Task Status
        
        alt Issues Detected
            Components->>Alerts: Raise Alert
            Alerts->>Monitor: Alert Status
        end
        
        Components-->>Monitor: System Status
    end

1. Monitor

   • Regular health checks
   • Performance monitoring
   • Resource tracking

2. Components

   • Service status
   • Resource usage
   • Error rates

3. Tasks

   • Task queue status
   • Processing rates
   • Error handling

4. Alerts

   • Alert generation
   • Notification routing
   • Alert history

• Version Control Systems
• CI/CD Pipelines
• Issue Tracking Systems
• Documentation Platforms

• REST API for main operations
• SSE for real-time updates
• WebSocket for bi-directional communication

• Vector Database (Qdrant)
• Cache Storage
• Document Storage

• Regular analysis scheduling
• Incremental analysis for large codebases
• Pattern customization

• Consistent formatting
• Regular updates
• Link validation

• Comprehensive test coverage
• Regular test runs
• Performance benchmarking

1. Analysis Failures

   • Check input validation
   • Verify system resources
   • Review error logs

2. Performance Issues

   • Monitor cache hit rates
   • Check vector store performance
   • Review resource usage

3. Integration Issues

   • Verify API endpoints
   • Check authentication
   • Review connection settings

1. Workflow Optimization

   • Performance improvements
   • Enhanced error handling
   • Better user feedback

2. New Features

   • Custom workflow creation
   • Advanced analysis options
   • Extended integration options

3. Documentation

   • Workflow examples
   • Integration guides
   • Troubleshooting guides