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Kotlin MCP Server

by normaltusker
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AGPL 3.0
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Enterprise Kotlin Android MCP Server

A comprehensive Model Context Protocol (MCP) server that provides AI agents with enterprise-grade access to Kotlin-based Android development projects. This server enables context-aware assistance with advanced security, privacy compliance, AI integration, and comprehensive development tools.

🌟 Enterprise Features Overview

🔒 Security & Privacy Compliance

  • GDPR Compliance - Complete implementation with consent management, data portability, right to erasure
  • HIPAA Compliance - Healthcare-grade security with audit logging, access controls, encryption
  • Data Encryption - AES-256 encryption with PBKDF2 key derivation for sensitive data
  • Audit Trails - Comprehensive logging with compliance flags and security event tracking
  • Privacy by Design - Built-in privacy protection for all operations

🤖 AI/ML Integration

  • Local LLM Support - Ollama, LocalAI, and self-hosted transformers
  • External LLM APIs - OpenAI GPT-4, Anthropic Claude, custom endpoints
  • AI-Powered Code Analysis - Security, performance, and complexity analysis
  • Intelligent Code Generation - Context-aware Kotlin/Android code creation
  • ML Model Integration - TensorFlow Lite, ONNX, PyTorch Mobile for Android apps

📁 Advanced File Management

  • Enterprise File Operations - Backup, restore, sync, encrypt, decrypt with audit trails
  • Real-time Synchronization - File system watchers with automatic sync
  • Cloud Storage Integration - AWS S3, Google Cloud, Azure with end-to-end encryption
  • Smart File Classification - Automatic sensitive data detection and encryption
  • Version Control - Git-aware operations with conflict resolution

🌐 External API Integration

  • Comprehensive Auth Support - API Keys, OAuth 2.0, JWT, Basic Auth
  • Security Features - Rate limiting, request logging, response validation
  • Real-time Monitoring - API usage metrics, performance tracking, cost analysis
  • Compliance Validation - GDPR/HIPAA compliant API handling

🏗️ Advanced Android Development

  • Architecture Patterns - MVVM, Clean Architecture, Dependency Injection
  • Modern UI Development - Jetpack Compose, custom views, complex layouts
  • Database Integration - Room with encryption, migration handling
  • Network Layer - Retrofit, GraphQL, WebSocket support
  • Testing Framework - Comprehensive test generation and execution

🚀 Quick Start & Installation

✨ What's New in v2.0

🎯 Zero-Configuration Setup: Our enhanced installation script eliminates all manual configuration steps!

Before (v1.x):

  • ❌ Manual path editing in config files
  • ❌ Environment variable setup required
  • ❌ Platform-specific configuration steps
  • ❌ Risk of configuration errors

After (v2.0):

  • ✅ One Command Setup: python3 install.py
  • ✅ Automatic Path Detection: No manual editing needed
  • ✅ Platform-Specific Configs: Optimized for Claude, VS Code, etc.
  • ✅ Interactive & Non-Interactive: Works for all user types
  • ✅ Smart Environment Variables: Uses ${workspaceFolder}, ${workspaceRoot} correctly

📋 System Requirements

  • Python 3.8+ (3.9+ recommended)
  • pip (Python package manager)
  • Git (for cloning repository)
  • IDE with MCP support (VS Code, JetBrains IDEs, Claude Desktop)

🔧 Installation Steps

1. Clone Repository
git clone <your-repo-url> cd kotlin-mcp-server
2. Automated Installation & Configuration

The project includes an enhanced installation script that handles all configuration automatically:

# Interactive installation (recommended for first-time users) python3 install.py # Non-interactive installation with specific configuration python3 install.py [install_type] [project_path] [server_name] [use_env_vars] # Show all available options python3 install.py --help

Installation Types:

  • 1 - Portable: Run directly from project directory
  • 2 - System: Install command to PATH (kotlin-android-mcp)
  • 3 - Module: Enable python -m kotlin_mcp_server

Configuration Examples:

# Interactive setup (asks for your preferences) python3 install.py 1 # Portable with fixed Android project path python3 install.py 1 /Users/yourname/AndroidStudioProjects/MyApp # System installation with dynamic environment variables python3 install.py 2 none my-android-server true # Module installation with custom server name python3 install.py 3 /path/to/project kotlin-dev false

What the installer does:

  • ✅ Installs all Python dependencies from requirements.txt
  • ✅ Creates platform-specific config files (Claude, VS Code, generic)
  • ✅ Sets up proper file permissions for scripts
  • ✅ Configures environment variables based on your choices
  • ✅ Eliminates manual path updates in configuration files
  • ✅ Provides clear integration instructions for your setup
3. Manual Installation (Alternative)

If you prefer manual installation:

# Install core dependencies pip install -r requirements.txt # Optional: Install AI/ML dependencies for advanced features pip install openai anthropic transformers torch # Verify installation python3 -c "import kotlin_mcp_server; print('✅ Installation successful')"

Key Dependencies Installed:

  • Core MCP: python-dotenv, pydantic
  • Security: cryptography, bcrypt, PyJWT
  • Database: aiosqlite, sqlalchemy
  • HTTP Clients: aiohttp, httpx
  • File Management: aiofiles, watchdog
  • Testing: pytest, pytest-asyncio, coverage
  • Code Quality: black, flake8, pylint, mypy
  • Security Tools: bandit, safety
4. IDE Integration Setup

After installation, the script generates ready-to-use configuration files:

  • mcp_config_claude.json - For Claude Desktop
  • mcp_config_vscode.json - For VS Code and Cursor
  • mcp_config.json - For other MCP clients

Integration Instructions:

🔹 Claude Desktop: Copy content from mcp_config_claude.json to:

  • Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/claude/claude_desktop_config.json

🔹 VS Code/Cursor: Add to your VS Code settings.json:

{ "mcp.server.configFiles": [ "/absolute/path/to/mcp_config_vscode.json" ] }

🔹 Other IDEs: Use mcp_config.json with your MCP client

5. Environment Configuration (Advanced)

For advanced users who need custom environment setup: Create a .env file in the project root (only needed for advanced configurations):

# Copy the example file and customize cp .env.example .env # Edit with your settings nano .env # or your preferred editor

Optional Variables:

# Security (generate strong password) MCP_ENCRYPTION_PASSWORD=$(openssl rand -base64 32) COMPLIANCE_MODE=gdpr,hipaa # Optional: AI Integration OPENAI_API_KEY=your-openai-api-key-here ANTHROPIC_API_KEY=your-anthropic-api-key-here

💡 Note: The installation script automatically configures project paths and server settings, so manual environment configuration is only needed for advanced features like AI integration or custom security settings.

6. Install Required IDE Extensions/Plugins

See the Plugin Requirements section below for IDE-specific extensions.

7. Test Installation
# Test the server with your configured setup # If you used a fixed project path during installation: python3 kotlin_mcp_server.py # If you're using dynamic/environment variables: python3 kotlin_mcp_server.py /path/to/android/project # For system installation: kotlin-android-mcp # For module installation: python3 -m kotlin_mcp_server # Validate configuration (optional) python3 validate_config.py # Run comprehensive tests (optional) python test_mcp_comprehensive.py # Test VS Code bridge server (optional) python3 vscode_bridge.py & sleep 2 curl http://localhost:8080/health # Should return: {"status": "healthy", ...} kill %1 # Stop background bridge server

⚡ Quick Setup Commands

# Complete setup with one command (interactive) python3 install.py # Quick setup for development environment make setup-dev # Quick validation make dev-check # Full quality pipeline make ci # Test VS Code bridge server (optional) python3 vscode_bridge.py --test-mode

🎯 Installation Summary

The enhanced installation process has eliminated the need for manual configuration:

✅ Before (Manual): Users had to manually edit config files, find paths, update environment variables
✅ After (Automated): One command creates everything ready-to-use

Key Improvements:

  • 🚀 Zero Manual Configuration: No more path updates or variable editing
  • 🎛️ Interactive & Non-Interactive: Works in both modes for all users
  • 🔧 Platform-Specific Configs: Generates optimized files for each IDE/client
  • 📋 Clear Instructions: Provides exact integration steps for your setup
  • ✨ Smart Defaults: Handles environment variables intelligently

📚 Comprehensive Usage Guide

� Complete Tool Reference

The Kotlin MCP Server provides 31 comprehensive tools for Android development, organized by category:

Core Development Tools
1. gradle_build - Build Android Projects

Executes Gradle build tasks for your Android project.

{ "name": "gradle_build", "arguments": { "task": "assembleDebug", "clean_build": false, "parallel": true } }

Parameters:

  • task (string): Gradle task to execute (e.g., "assembleDebug", "build", "test")
  • clean_build (boolean, optional): Whether to clean before building
  • parallel (boolean, optional): Enable parallel execution

Usage Examples:

# Build debug APK {"name": "gradle_build", "arguments": {"task": "assembleDebug"}} # Clean and build release {"name": "gradle_build", "arguments": {"task": "assembleRelease", "clean_build": true}} # Run all tests {"name": "gradle_build", "arguments": {"task": "test"}}
2. run_tests - Execute Test Suites

Runs unit tests, integration tests, or UI tests with comprehensive reporting.

{ "name": "run_tests", "arguments": { "test_type": "unit", "test_class": "UserRepositoryTest", "generate_report": true } }

Parameters:

  • test_type (string): "unit", "integration", "ui", or "all"
  • test_class (string, optional): Specific test class to run
  • generate_report (boolean, optional): Generate HTML test report
3. create_kotlin_file - Generate Kotlin Files

Creates structured Kotlin files with proper package declaration and imports.

{ "name": "create_kotlin_file", "arguments": { "file_path": "src/main/kotlin/com/example/User.kt", "class_name": "User", "class_type": "data_class", "properties": ["id: String", "name: String", "email: String"], "package_name": "com.example.model" } }

Parameters:

  • file_path (string): Relative path for the new file
  • class_name (string): Name of the main class
  • class_type (string): "class", "data_class", "sealed_class", "object", "interface"
  • properties (array, optional): List of properties for data classes
  • package_name (string, optional): Package declaration
4. create_layout_file - Generate XML Layouts

Creates Android XML layout files with proper structure.

{ "name": "create_layout_file", "arguments": { "file_path": "src/main/res/layout/activity_main.xml", "layout_type": "activity", "root_element": "LinearLayout", "include_common_attributes": true } }
5. analyze_project - Project Analysis

Provides comprehensive analysis of your Android project structure, dependencies, and architecture.

{ "name": "analyze_project", "arguments": { "analysis_type": "architecture", "include_dependencies": true, "check_best_practices": true } }

Analysis Types:

  • architecture: Overall project structure and patterns
  • dependencies: Gradle dependencies and versions
  • security: Security vulnerabilities and best practices
  • performance: Performance bottlenecks and optimizations
6. format_code - Code Formatting

Formats Kotlin code according to style guidelines.

{ "name": "format_code", "arguments": { "file_path": "src/main/kotlin/MainActivity.kt", "style_guide": "ktlint" } }
7. run_lint - Static Code Analysis

Runs lint analysis to detect code issues.

{ "name": "run_lint", "arguments": { "lint_tool": "detekt", "fail_on_warnings": false, "generate_report": true } }
8. generate_docs - Documentation Generation

Generates project documentation in various formats.

{ "name": "generate_docs", "arguments": { "doc_type": "kdoc", "output_format": "html", "include_private": false } }
UI Development Tools
9. create_compose_component - Jetpack Compose Components

Generates Jetpack Compose UI components with best practices.

{ "name": "create_compose_component", "arguments": { "component_name": "UserCard", "component_type": "composable", "file_path": "src/main/kotlin/ui/components/UserCard.kt", "parameters": [ "user: User", "onClick: () -> Unit" ], "include_preview": true, "material_design": "material3" } }

Component Types:

  • composable: Standard composable function
  • stateful: Composable with internal state
  • stateless: Pure UI composable
  • layout: Layout composable with children
10. create_custom_view - Custom Android Views

Creates custom View classes with proper lifecycle management.

{ "name": "create_custom_view", "arguments": { "view_name": "CircularProgressView", "base_class": "View", "file_path": "src/main/kotlin/ui/views/CircularProgressView.kt", "custom_attributes": [ {"name": "progressColor", "type": "color"}, {"name": "strokeWidth", "type": "dimension"} ] } }
Architecture & Pattern Tools
11. setup_mvvm_architecture - MVVM Implementation

Sets up complete MVVM architecture with ViewModel, Repository, and UI layers.

{ "name": "setup_mvvm_architecture", "arguments": { "feature_name": "UserProfile", "package_name": "com.example.userprofile", "include_repository": true, "include_use_cases": true, "state_management": "compose" } }

Generated Files:

  • ViewModel with state management
  • Repository with data source abstraction
  • Use cases for business logic
  • UI composables or fragments
  • State classes and sealed classes for events
12. setup_dependency_injection - DI Framework Setup

Configures dependency injection using Hilt or Dagger.

{ "name": "setup_dependency_injection", "arguments": { "di_framework": "hilt", "modules": ["DatabaseModule", "NetworkModule", "RepositoryModule"], "application_class": "MyApplication" } }
13. setup_room_database - Database Setup

Creates Room database implementation with entities, DAOs, and migrations.

{ "name": "setup_room_database", "arguments": { "database_name": "AppDatabase", "entities": [ { "name": "User", "fields": [ {"name": "id", "type": "String", "primaryKey": true}, {"name": "name", "type": "String"}, {"name": "email", "type": "String"} ] } ], "version": 1, "enable_encryption": true } }
14. setup_retrofit_api - Network Layer

Sets up Retrofit API interfaces with proper error handling and interceptors.

{ "name": "setup_retrofit_api", "arguments": { "base_url": "https://api.example.com/", "endpoints": [ { "name": "getUser", "method": "GET", "path": "users/{id}", "response_type": "User" } ], "include_interceptors": ["logging", "auth", "retry"], "enable_cache": true } }
Security & Compliance Tools
15. encrypt_sensitive_data - Data Encryption

Encrypts sensitive data using industry-standard encryption.

{ "name": "encrypt_sensitive_data", "arguments": { "data": "Patient: John Doe, SSN: 123-45-6789", "data_type": "phi", "compliance_level": "hipaa", "encryption_algorithm": "AES-256" } }
16. implement_gdpr_compliance - GDPR Implementation

Implements complete GDPR compliance framework.

{ "name": "implement_gdpr_compliance", "arguments": { "package_name": "com.example.app", "features": [ "consent_management", "data_portability", "right_to_erasure", "privacy_policy", "data_breach_notification" ], "supported_languages": ["en", "de", "fr"], "include_ui": true } }

Generated Components:

  • Consent management UI and logic
  • Data export functionality
  • User data deletion workflows
  • Privacy policy templates
  • Audit logging system
17. implement_hipaa_compliance - HIPAA Implementation

Implements HIPAA-compliant security measures.

{ "name": "implement_hipaa_compliance", "arguments": { "package_name": "com.healthcare.app", "features": [ "audit_logging", "access_controls", "encryption", "secure_messaging", "risk_assessment" ], "minimum_password_strength": "high", "session_timeout": 900 } }
18. setup_secure_storage - Secure Data Storage

Configures encrypted storage for sensitive data.

{ "name": "setup_secure_storage", "arguments": { "storage_type": "room_encrypted", "package_name": "com.example.app", "data_classification": "restricted", "key_management": "android_keystore" } }
AI/ML Integration Tools
19. query_llm - Language Model Queries

Queries local or remote language models for code assistance.

{ "name": "query_llm", "arguments": { "prompt": "Generate a Kotlin data class for User with validation", "llm_provider": "local", "model": "codellama", "privacy_mode": true, "max_tokens": 1000, "temperature": 0.2 } }

Supported Providers:

  • local: Ollama, LocalAI
  • openai: GPT-4, GPT-3.5
  • anthropic: Claude models
  • custom: Custom API endpoints
20. analyze_code_with_ai - AI Code Analysis

Uses AI to analyze code for various aspects.

{ "name": "analyze_code_with_ai", "arguments": { "file_path": "src/main/kotlin/UserManager.kt", "analysis_type": "security", "use_local_model": true, "detailed_report": true } }

Analysis Types:

  • security: Security vulnerabilities and best practices
  • performance: Performance optimization suggestions
  • bugs: Potential bug detection
  • style: Code style improvements
  • complexity: Code complexity analysis
  • maintainability: Maintainability assessment
21. generate_code_with_ai - AI Code Generation

Generates code using AI based on natural language descriptions.

{ "name": "generate_code_with_ai", "arguments": { "description": "Login screen with biometric authentication and error handling", "code_type": "compose_screen", "framework": "compose", "compliance_requirements": ["gdpr"], "include_tests": true, "style_guide": "material3" } }
File Management Tools
22. manage_project_files - Advanced File Operations

Performs comprehensive file management operations.

{ "name": "manage_project_files", "arguments": { "operation": "backup", "include_build_files": false, "compression": "zip", "encryption": true, "backup_location": "/path/to/backup", "exclude_patterns": ["*.tmp", "build/", ".gradle/"] } }

Operations:

  • backup: Create encrypted backups
  • restore: Restore from backup
  • sync: Synchronize with cloud storage
  • encrypt: Encrypt sensitive files
  • decrypt: Decrypt files (with proper authorization)
  • organize: Organize files by type/category
23. setup_cloud_sync - Cloud Storage Integration

Configures cloud storage synchronization with encryption.

{ "name": "setup_cloud_sync", "arguments": { "cloud_provider": "aws_s3", "bucket_name": "my-app-backup", "encryption_in_transit": true, "encryption_at_rest": true, "sync_frequency": "hourly", "compliance_mode": "gdpr" } }
API Integration Tools
24. setup_external_api - API Configuration

Sets up external API integrations with security and monitoring.

{ "name": "setup_external_api", "arguments": { "api_name": "PaymentAPI", "base_url": "https://api.payment.com/v1/", "auth_type": "oauth2", "auth_config": { "client_id": "your_client_id", "scopes": ["payments", "users"] }, "rate_limiting": { "requests_per_minute": 100, "burst_limit": 10 }, "security_features": ["request_signing", "response_validation"], "monitoring": true } }
25. call_external_api - API Calls

Makes secured API calls with comprehensive monitoring.

{ "name": "call_external_api", "arguments": { "api_name": "PaymentAPI", "endpoint": "/charges", "method": "POST", "data": { "amount": 1000, "currency": "USD", "description": "Test payment" }, "headers": { "Content-Type": "application/json" }, "timeout": 30, "retry_config": { "max_retries": 3, "backoff_strategy": "exponential" } } }
Testing Tools
26. generate_unit_tests - Unit Test Generation

Generates comprehensive unit tests for Kotlin classes.

{ "name": "generate_unit_tests", "arguments": { "file_path": "src/main/kotlin/UserRepository.kt", "test_framework": "junit5", "mocking_framework": "mockk", "include_edge_cases": true, "test_coverage_target": 90 } }
27. setup_ui_testing - UI Test Configuration

Sets up UI testing framework with Espresso or Compose testing.

{ "name": "setup_ui_testing", "arguments": { "testing_framework": "compose", "include_accessibility_tests": true, "include_screenshot_tests": true, "test_data_setup": "in_memory_database" } }

🚀 Quick Start Tool Examples

Complete Project Setup Workflow

Here's a step-by-step workflow to set up a new Android project with enterprise features:

# 1. Analyze existing project structure { "name": "analyze_project", "arguments": { "analysis_type": "architecture", "include_dependencies": true } } # 2. Set up MVVM architecture { "name": "setup_mvvm_architecture", "arguments": { "feature_name": "UserManagement", "package_name": "com.example.users", "include_repository": true, "state_management": "compose" } } # 3. Configure dependency injection { "name": "setup_dependency_injection", "arguments": { "di_framework": "hilt", "modules": ["DatabaseModule", "NetworkModule"] } } # 4. Set up secure database { "name": "setup_room_database", "arguments": { "database_name": "AppDatabase", "entities": [ { "name": "User", "fields": [ {"name": "id", "type": "String", "primaryKey": true}, {"name": "name", "type": "String"}, {"name": "email", "type": "String"} ] } ], "enable_encryption": true } } # 5. Implement compliance (if required) { "name": "implement_gdpr_compliance", "arguments": { "package_name": "com.example.app", "features": ["consent_management", "data_portability"], "include_ui": true } } # 6. Generate UI components { "name": "create_compose_component", "arguments": { "component_name": "UserListScreen", "component_type": "stateful", "include_preview": true, "material_design": "material3" } } # 7. Set up API integration { "name": "setup_retrofit_api", "arguments": { "base_url": "https://api.example.com/", "endpoints": [ { "name": "getUsers", "method": "GET", "path": "users", "response_type": "List<User>" } ], "include_interceptors": ["logging", "auth"] } } # 8. Generate comprehensive tests { "name": "generate_unit_tests", "arguments": { "file_path": "src/main/kotlin/UserRepository.kt", "test_framework": "junit5", "include_edge_cases": true } } # 9. Build and test { "name": "gradle_build", "arguments": { "task": "assembleDebug", "clean_build": true } } { "name": "run_tests", "arguments": { "test_type": "all", "generate_report": true } }
AI-Powered Development Examples
# Generate a complete login feature using AI { "name": "generate_code_with_ai", "arguments": { "description": "Complete login feature with email/password, biometric authentication, remember me option, forgot password flow, and proper error handling", "code_type": "feature", "framework": "compose", "compliance_requirements": ["gdpr"], "include_tests": true } } # Analyze existing code for security issues { "name": "analyze_code_with_ai", "arguments": { "file_path": "src/main/kotlin/AuthManager.kt", "analysis_type": "security", "detailed_report": true } } # Get AI assistance for complex implementation { "name": "query_llm", "arguments": { "prompt": "How do I implement secure biometric authentication in Android with fallback to PIN? Include error handling for different biometric states.", "llm_provider": "local", "privacy_mode": true } }

🛠️ Tool Usage Best Practices

File Path Conventions

Always use relative paths from your project root:

# ✅ Correct "file_path": "src/main/kotlin/com/example/User.kt" # ❌ Incorrect "file_path": "/absolute/path/to/User.kt"
Package Naming

Follow Android package naming conventions:

# ✅ Correct "package_name": "com.company.app.feature.user" # ❌ Incorrect "package_name": "User.Package"
Security Best Practices
  • Always use encryption for sensitive data
  • Implement proper compliance features from the start
  • Use secure storage for API keys and secrets
  • Enable audit logging for compliance requirements
Performance Optimization
  • Use parallel: true for Gradle builds when possible
  • Generate tests incrementally rather than all at once
  • Use local LLM providers for privacy-sensitive code analysis
  • Enable caching for API setups
Error Handling

All tools provide comprehensive error information:

{ "success": false, "error": "File already exists", "details": { "file_path": "src/main/kotlin/User.kt", "suggestion": "Use a different file name or set overwrite: true" } }

📊 Tool Response Formats

Success Response
{ "success": true, "result": { "files_created": ["User.kt", "UserTest.kt"], "lines_of_code": 125, "compilation_status": "success" }, "metadata": { "execution_time": "2.3s", "tools_used": ["kotlin_compiler", "test_generator"] } }
Error Response
{ "success": false, "error": "Compilation failed", "details": { "error_type": "compilation_error", "line_number": 23, "message": "Unresolved reference: undefinedVariable", "suggestions": [ "Check variable declaration", "Verify imports" ] } }

�🔒 Security & Privacy Features

GDPR Compliance Implementation
{ "name": "implement_gdpr_compliance", "arguments": { "package_name": "com.example.app", "features": [ "consent_management", "data_portability", "right_to_erasure", "privacy_policy" ] } }

Generated Features:

  • Consent management UI components
  • Data export functionality
  • User data deletion workflows
  • Privacy policy templates
  • Legal basis tracking
HIPAA Compliance Implementation
{ "name": "implement_hipaa_compliance", "arguments": { "package_name": "com.healthcare.app", "features": [ "audit_logging", "access_controls", "encryption", "secure_messaging" ] } }

Generated Features:

  • Comprehensive audit logging system
  • Role-based access control framework
  • PHI encryption utilities
  • Secure messaging infrastructure
  • Risk assessment tools
Data Encryption
{ "name": "encrypt_sensitive_data", "arguments": { "data": "Patient: John Doe, SSN: 123-45-6789", "data_type": "phi", "compliance_level": "hipaa" } }
Secure Storage Setup
{ "name": "setup_secure_storage", "arguments": { "storage_type": "room_encrypted", "package_name": "com.example.app", "data_classification": "restricted" } }

🤖 AI Integration Features

Local LLM Queries
{ "name": "query_llm", "arguments": { "prompt": "Generate a Kotlin data class for User with validation", "llm_provider": "local", "privacy_mode": true, "max_tokens": 1000 } }
AI-Powered Code Analysis
{ "name": "analyze_code_with_ai", "arguments": { "file_path": "src/main/UserManager.kt", "analysis_type": "security", "use_local_model": true } }

Analysis Types:

  • security - Vulnerability and security best practices
  • performance - Performance optimization suggestions
  • bugs - Potential bug detection
  • style - Code style and formatting improvements
  • complexity - Code complexity analysis
AI Code Generation
{ "name": "generate_code_with_ai", "arguments": { "description": "Login screen with biometric authentication", "code_type": "component", "framework": "compose", "compliance_requirements": ["gdpr", "hipaa"] } }

Code Types:

  • class - Kotlin classes with methods
  • function - Standalone functions
  • layout - XML layout files
  • test - Unit and integration tests
  • component - Jetpack Compose components

📁 File Management Operations

Advanced Backup
{ "name": "manage_project_files", "arguments": { "operation": "backup", "target_path": "./src", "destination": "./backups", "encryption_level": "high" } }
Real-time Synchronization
{ "name": "manage_project_files", "arguments": { "operation": "sync", "target_path": "./src", "destination": "./remote-sync", "sync_strategy": "real_time" } }
Cloud Storage Sync
{ "name": "setup_cloud_sync", "arguments": { "cloud_provider": "aws", "sync_strategy": "scheduled", "encryption_in_transit": true, "compliance_mode": "gdpr" } }

Supported Operations:

  • backup - Create encrypted backups with manifests
  • restore - Restore from backup with integrity checking
  • sync - Two-way synchronization with conflict resolution
  • encrypt - Encrypt sensitive files in place
  • decrypt - Decrypt files with proper authorization
  • archive - Create compressed archives
  • extract - Extract archives with validation
  • search - Content-based file discovery
  • analyze - File structure and usage analysis

🌐 External API Integration

API Integration Setup
{ "name": "integrate_external_api", "arguments": { "api_name": "HealthRecordsAPI", "base_url": "https://api.healthrecords.com", "auth_type": "oauth", "security_features": [ "rate_limiting", "request_logging", "response_validation" ], "compliance_requirements": ["hipaa"] } }
API Usage Monitoring
{ "name": "monitor_api_usage", "arguments": { "api_name": "HealthRecordsAPI", "metrics": [ "latency", "error_rate", "usage_volume", "cost" ], "alert_thresholds": { "error_rate": 5.0, "latency_ms": 2000 } } }

Authentication Types:

  • none - No authentication required
  • api_key - API key in header or query
  • oauth - OAuth 2.0 flow
  • jwt - JSON Web Token
  • basic - Basic HTTP authentication

🏗️ Advanced Android Development

MVVM Architecture Setup
{ "name": "setup_mvvm_architecture", "arguments": { "feature_name": "UserProfile", "package_name": "com.example.app", "include_repository": true, "include_use_cases": true, "data_source": "both" } }
Jetpack Compose Components
{ "name": "create_compose_component", "arguments": { "file_path": "ui/components/LoginForm.kt", "component_name": "LoginForm", "component_type": "component", "package_name": "com.example.ui", "uses_state": true, "uses_navigation": false } }
Room Database Setup
{ "name": "setup_room_database", "arguments": { "database_name": "AppDatabase", "package_name": "com.example.data", "entities": ["User", "Profile", "Settings"], "include_migration": true } }
Retrofit API Client
{ "name": "setup_retrofit_api", "arguments": { "api_name": "UserApiService", "package_name": "com.example.network", "base_url": "https://api.example.com", "endpoints": [ { "method": "GET", "path": "/users/{id}", "name": "getUser" } ], "include_interceptors": true } }
Dependency Injection (Hilt)
{ "name": "setup_dependency_injection", "arguments": { "module_name": "NetworkModule", "package_name": "com.example.di", "injection_type": "network" } }
ML Model Integration
{ "name": "integrate_ml_model", "arguments": { "model_type": "tflite", "model_path": "assets/model.tflite", "use_case": "image_classification", "privacy_preserving": true } }

🛠️ Tool-Specific Troubleshooting

Gradle Build Issues
# Tool: gradle_build # Common solutions: # 1. Clear Gradle cache { "name": "gradle_build", "arguments": { "task": "clean", "clean_build": true } } # 2. Check Java version echo $JAVA_HOME java -version # 3. Fix permission issues (macOS/Linux) chmod +x gradlew # 4. Enable verbose output for debugging { "name": "gradle_build", "arguments": { "task": "assembleDebug", "gradle_args": ["--debug", "--stacktrace"] } }
AI Integration Issues
# Tool: query_llm, analyze_code_with_ai, generate_code_with_ai # Local LLM not responding curl http://localhost:11434/api/generate -d '{"model":"codellama","prompt":"test"}' # API key issues python3 -c "import os; print('OpenAI:', bool(os.getenv('OPENAI_API_KEY')))" # Privacy mode for sensitive code { "name": "query_llm", "arguments": { "prompt": "Your prompt here", "llm_provider": "local", # Force local processing "privacy_mode": true # No external API calls } }
File Creation Issues
# Tool: create_kotlin_file, create_layout_file, create_compose_component # Permission denied sudo chown -R $(whoami):$(whoami) src/ # File already exists { "name": "create_kotlin_file", "arguments": { "file_path": "src/main/kotlin/User.kt", "overwrite": true # Force overwrite } } # Invalid package structure # Ensure your file path matches package structure: # File: src/main/kotlin/com/example/User.kt # Package: com.example
Security Tool Issues
# Tool: encrypt_sensitive_data, implement_gdpr_compliance # Cryptography not available pip install cryptography>=41.0.0 # Test encryption python3 -c "from cryptography.fernet import Fernet; print('✅ Encryption available')" # GDPR compliance setup { "name": "implement_gdpr_compliance", "arguments": { "package_name": "com.example.app", "features": ["consent_management"], # Start with basic features "dry_run": true # Test mode first } }
Database Setup Issues
# Tool: setup_room_database, setup_secure_storage # Check Android Room version compatibility grep "room_version" build.gradle # Test database creation { "name": "setup_room_database", "arguments": { "database_name": "TestDB", "entities": [{"name": "TestEntity", "fields": [{"name": "id", "type": "String", "primaryKey": true}]}], "validate_only": true # Check schema without creating files } }
Network/API Issues
# Tool: setup_retrofit_api, call_external_api # Test network connectivity curl -I https://api.example.com/ # Verify SSL certificates openssl s_client -connect api.example.com:443 # Debug API calls { "name": "call_external_api", "arguments": { "api_name": "TestAPI", "endpoint": "/health", "method": "GET", "debug_mode": true, # Enable detailed logging "timeout": 10 # Shorter timeout for testing } }

🧪 Testing & Quality Assurance

Comprehensive Test Generation
{ "name": "generate_test_suite", "arguments": { "class_to_test": "UserRepository", "test_type": "unit", "include_mockito": true, "test_coverage": "comprehensive" } }

Test Types:

  • unit - Unit tests with mocking
  • integration - Integration tests with real dependencies
  • ui - UI tests with Espresso

🏥 Industry-Specific Examples

Healthcare Application

# 1. Implement HIPAA compliance { "name": "implement_hipaa_compliance", "arguments": { "package_name": "com.health.tracker", "features": ["audit_logging", "encryption", "access_controls"] } } # 2. Setup secure storage for PHI { "name": "setup_secure_storage", "arguments": { "storage_type": "room_encrypted", "data_classification": "restricted" } } # 3. Generate patient form with AI { "name": "generate_code_with_ai", "arguments": { "description": "Patient intake form with validation", "compliance_requirements": ["hipaa"] } }

Financial Application

# 1. Implement GDPR compliance { "name": "implement_gdpr_compliance", "arguments": { "features": ["consent_management", "data_portability"] } } # 2. Setup secure API integration { "name": "integrate_external_api", "arguments": { "api_name": "PaymentAPI", "auth_type": "oauth", "security_features": ["rate_limiting", "request_logging"] } } # 3. Enable cloud backup with encryption { "name": "setup_cloud_sync", "arguments": { "cloud_provider": "aws", "encryption_in_transit": true, "compliance_mode": "gdpr" } }

🔧 Configuration & Deployment

Docker Deployment

# Build and run with Docker docker-compose up -d # Or build manually docker build -t kotlin-mcp-server . docker run -p 8000:8000 -v $(pwd):/workspace kotlin-mcp-server

AI Agent Integration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{ "mcpServers": { "kotlin-android": { "command": "python", "args": ["/path/to/kotlin-mcp-server/kotlin_mcp_server.py"], "env": { "WORKSPACE_PATH": "/path/to/your/android/project" } } } }
VS Code Extension

Use the configuration from mcp_config_vscode.json

⚙️ Configuration & Plugin Requirements

This section provides detailed instructions on configuring the MCP server for different IDEs and the required plugins.

🔌 Required Plugins/Extensions

VS Code Extensions
# Install required VS Code extensions code --install-extension ms-python.python code --install-extension ms-python.pylint code --install-extension ms-python.black-formatter code --install-extension ms-python.isort code --install-extension ms-python.mypy-type-checker code --install-extension ms-toolsai.jupyter

Manual Installation via VS Code Marketplace:

  • Python (ms-python.python) - Core Python support
  • Pylint (ms-python.pylint) - Code linting
  • Black Formatter (ms-python.black-formatter) - Code formatting
  • isort (ms-python.isort) - Import sorting
  • Jupyter (ms-toolsai.jupyter) - Notebook support (optional)
  • MCP for VS Code - Model Context Protocol support (if available)
JetBrains IDEs (IntelliJ IDEA, Android Studio)

Required Plugins:

  • Python Plugin - For Python script execution
  • MCP Plugin - Model Context Protocol support (check JetBrains marketplace)
  • Kotlin Plugin - Built-in for Android Studio, install for IntelliJ
  • Android Plugin - Built-in for Android Studio
Claude Desktop Integration

No additional plugins required - uses built-in MCP support.

🛠️ IDE Configuration

Visual Studio Code
  1. Install Python Extension Pack:
    code --install-extension ms-python.python
  2. Configure MCP Server: The installation script generates mcp_config_vscode.json with the correct paths. Simply add to VS Code settings.json (Cmd/Ctrl + Shift + P → "Preferences: Open Settings (JSON)"):
    { "mcp.server.configFiles": [ "/absolute/path/to/your/kotlin-mcp-server/mcp_config_vscode.json" ], "python.defaultInterpreterPath": "/usr/bin/python3", "python.linting.enabled": true, "python.formatting.provider": "black", "python.sortImports.path": "isort" }
    💡 Pro Tip: The installation script provides the exact path you need to use.
  3. Workspace Settings (.vscode/settings.json):
    { "python.pythonPath": "python3", "mcp.server.autoStart": true, "mcp.server.logLevel": "info" }
JetBrains IDEs (IntelliJ IDEA, Android Studio)
  1. Install Required Plugins:
    • Go to File > Settings > Plugins (Windows/Linux) or IntelliJ IDEA > Preferences > Plugins (Mac)
    • Search and install "MCP" plugin from marketplace
    • Install "Python" plugin if not already available
  2. Configure MCP Server: The installation script generates mcp_config.json with proper configuration. In your IDE:
    • Go to File > Settings > Tools > MCP Server
    • Click + to add new server:
      • Name: Your custom server name (as configured during installation)
      • Configuration File: Select the generated mcp_config.json
      • Auto Start: Enable
  3. Android Studio Specific:
    <!-- Add to .idea/workspace.xml --> <component name="MCPServerManager"> <option name="servers"> <server name="your-server-name" configFile="mcp_config.json" autoStart="true"/> </option> </component>
    💡 Note: Replace your-server-name with the server name you chose during installation.
Claude Desktop
  1. Configuration File Location:
    • Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Linux: ~/.config/claude/claude_desktop_config.json
  2. Configuration Content: Simply copy the content from the generated mcp_config_claude.json file to your Claude Desktop configuration file. The installation script has already configured all paths and settings correctly.Example of generated configuration:
    { "mcpServers": { "your-server-name": { "command": "python3", "args": ["kotlin_mcp_server.py"], "cwd": "/absolute/path/to/kotlin-mcp-server", "env": { "PROJECT_PATH": "${workspaceRoot}" } } } }
    ✅ Ready to Use: No manual path updates needed - everything is pre-configured!
Cursor IDE
  1. Install Extensions:
    • Same extensions as VS Code (Cursor is VS Code-based)
    • Python, Pylint, Black Formatter, isort
  2. Configuration: Use the same mcp_config_vscode.json configuration as VS Code. Add to Cursor's settings.json:
    { "mcp.server.configFiles": [ "/absolute/path/to/your/kotlin-mcp-server/mcp_config_vscode.json" ] }
VS Code Bridge Server (Alternative Integration)

For VS Code extensions that need HTTP API access to MCP tools, the project includes a bridge server.

1. Start the Bridge Server:

# Default port (8080) python3 vscode_bridge.py # Custom port python3 vscode_bridge.py 8081 # With environment configuration MCP_BRIDGE_HOST=0.0.0.0 MCP_BRIDGE_PORT=8080 python3 vscode_bridge.py

2. Health Check:

# Test server is running curl http://localhost:8080/health # Expected response: { "status": "healthy", "current_workspace": "/path/to/current/workspace", "available_tools": [ "gradle_build", "run_tests", "create_kotlin_file", "create_layout_file", "analyze_project" ] }

3. Using the Bridge API:

# Call MCP tools via HTTP curl -X POST http://localhost:8080/ \ -H "Content-Type: application/json" \ -d '{ "tool": "create_kotlin_file", "arguments": { "file_path": "src/main/MyClass.kt", "content": "class MyClass { }" } }'

4. VS Code Extension Integration:

// In your VS Code extension const response = await fetch('http://localhost:8080/', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ tool: 'analyze_project', arguments: { analysis_type: 'architecture' } }) }); const result = await response.json();

5. Configuration:

# Environment variables for bridge server MCP_BRIDGE_HOST=localhost # Server host MCP_BRIDGE_PORT=8080 # Server port VSCODE_WORKSPACE_FOLDER=/path # Override workspace detection
Other IDEs

For IDEs with MCP support:

  • Vim/Neovim: Use coc-mcp or similar MCP plugins
  • Emacs: Install mcp-mode package
  • Sublime Text: Install MCP package via Package Control

�️ Troubleshooting

Common Installation Issues

Python Version Compatibility
# Check Python version (must be 3.8+) python3 --version # If using older Python, install newer version # macOS with Homebrew: brew install python@3.11 # Ubuntu/Debian: sudo apt update && sudo apt install python3.11
Dependency Installation Errors
# Upgrade pip first python3 -m pip install --upgrade pip # Install with verbose output for debugging pip install -r requirements.txt -v # Use alternative index if needed pip install -r requirements.txt -i https://pypi.org/simple/
Import Errors
# Verify installation python3 -c "import kotlin_mcp_server; print('Import successful')" # Check Python path python3 -c "import sys; print(sys.path)" # Install in development mode pip install -e .

Configuration Issues

Most configuration issues are now resolved automatically:

# Regenerate configuration with the enhanced installer python3 install.py # For specific setup types: python3 install.py 1 /your/android/project my-server false python3 install.py --help # See all options
Legacy Manual Configuration Issues

If you're still using manual configuration from older versions:

# 1. Update to the new installer (recommended) python3 install.py # 2. Or manually find your actual paths (legacy method) cd /path/to/kotlin-mcp-server && pwd cd /path/to/android/project && pwd # 3. Update config files - replace ${MCP_SERVER_DIR} with actual path # Example: Change this "cwd": "${MCP_SERVER_DIR}" # To this (your actual path) "cwd": "/Users/yourusername/Documents/kotlin-mcp-server"

💡 Pro Tip: The new installer eliminates these manual steps entirely!

Environment Variable Issues
# Check if variables are set env | grep MCP env | grep WORKSPACE # Load environment file manually if needed source .env # Test variable expansion echo $MCP_SERVER_DIR echo $WORKSPACE_PATH
MCP Server Not Starting
  1. Check configuration file paths in your IDE settings
  2. Verify Python interpreter path in IDE settings
  3. Ensure environment variables are set correctly
  4. Check logs for specific error messages
IDE Plugin Issues
# VS Code: Reset extension code --uninstall-extension ms-python.python code --install-extension ms-python.python # JetBrains: Clear caches File > Invalidate Caches and Restart
VS Code Bridge Server Issues
# Test bridge server is running curl http://localhost:8080/health # Check if port is in use netstat -an | grep 8080 lsof -i :8080 # Start bridge server with debug MCP_BRIDGE_HOST=0.0.0.0 MCP_BRIDGE_PORT=8080 python3 vscode_bridge.py # Test specific tool call curl -X POST http://localhost:8080/ \ -H "Content-Type: application/json" \ -d '{"tool": "list_tools", "arguments": {}}' # Common fixes: # 1. Check firewall settings for port 8080 # 2. Ensure python3 vscode_bridge.py is running # 3. Verify VSCODE_WORKSPACE_FOLDER environment variable # 4. Check bridge server logs for errors
Permission Errors
# macOS/Linux: Fix permissions chmod +x *.py chmod 755 servers/mcp-process/ # Windows: Run as administrator or check file permissions

Runtime Issues

AI Integration Failures
# Test local LLM connection curl http://localhost:11434/api/generate -d '{"model":"llama2","prompt":"test"}' # Verify API keys are set python3 -c "import os; print('OpenAI key:', os.getenv('OPENAI_API_KEY', 'Not set'))"
File Operation Errors
# Check disk space df -h # Verify write permissions touch test_file.txt && rm test_file.txt # Check workspace path ls -la "${WORKSPACE_PATH}"
Security/Compliance Errors
# Test encryption setup python3 -c "from cryptography.fernet import Fernet; print('Encryption available')" # Verify compliance mode python3 -c "import os; print('Compliance:', os.getenv('COMPLIANCE_MODE', 'None'))"

Known Issues & Fixes

GitHub Actions Build Failures

If you encounter CI/CD issues:

  1. Configuration Files: Ensure .flake8 exists (not in pyproject.toml)
  2. GitHub Actions: Update to latest versions:
    • actions/checkout@v4
    • actions/setup-python@v4
    • actions/cache@v4
  3. Code Formatting: Run make format to fix style issues
Deprecated Dependencies
# Update all dependencies pip install --upgrade -r requirements.txt # Check for security vulnerabilities pip audit # Update Python tools pip install --upgrade black isort flake8 pylint mypy

Performance Issues

Slow Server Response
# Enable performance monitoring export LOG_LEVEL=DEBUG # Run performance tests make perf # Profile server startup python3 -m cProfile kotlin_mcp_server.py
Memory Usage
# Monitor memory usage python3 -c "import psutil; print(f'Memory: {psutil.virtual_memory().percent}%')" # Run memory-efficient mode export MCP_LOW_MEMORY_MODE=true

Getting Help

  1. Check Logs: Look in mcp_security.log for detailed error information
  2. Run Diagnostics: Use python3 comprehensive_test.py --verbose
  3. Validate Configuration: Run python3 breaking_change_monitor.py
  4. Test Individual Components:
    # Test core server python3 kotlin_mcp_server.py --test # Test enhanced features python3 kotlin_mcp_server.py --test # Test AI integration python3 kotlin_mcp_server.py --test
  5. Contact Support: Include logs, system info, and error messages when reporting issues

🌉 VS Code Bridge Server

The VS Code Bridge Server provides HTTP API access to MCP tools for VS Code extensions and other applications that can't directly use the MCP protocol.

When to Use the Bridge Server

  • VS Code Extensions: When building custom VS Code extensions that need MCP functionality
  • HTTP Clients: When integrating with tools that only support HTTP APIs
  • Remote Access: When you need to access MCP tools from another machine
  • Testing: For easy testing of MCP tools using curl or Postman
  • Web Applications: For web-based interfaces to MCP functionality

Bridge Server Features

Workspace Detection
  • Automatically detects current VS Code workspace
  • Uses VSCODE_WORKSPACE_FOLDER environment variable
  • Falls back to current working directory
Available Endpoints

Health Check:

GET /health # Returns: server status, workspace info, available tools

Tool Execution:

POST / Content-Type: application/json { "tool": "tool_name", "arguments": { "param1": "value1", "param2": "value2" } }
Supported Tools via Bridge
  • gradle_build - Build Android project
  • run_tests - Execute tests
  • create_kotlin_file - Create Kotlin source files
  • create_layout_file - Create Android layout files
  • analyze_project - Project structure analysis
  • All other MCP tools (see full list via /health)

Configuration

Environment Variables
# Bridge server configuration MCP_BRIDGE_HOST=localhost # Server host (default: localhost) MCP_BRIDGE_PORT=8080 # Server port (default: 8080) # Workspace configuration VSCODE_WORKSPACE_FOLDER=/path/to/project # Override workspace detection PROJECT_PATH=/path/to/project # Fallback project path
Security Considerations
# For remote access (use with caution) MCP_BRIDGE_HOST=0.0.0.0 # Allow external connections # For local development only (recommended) MCP_BRIDGE_HOST=127.0.0.1 # Local connections only

Usage Examples

Start Bridge Server
# Basic startup python3 vscode_bridge.py # With custom configuration MCP_BRIDGE_HOST=localhost MCP_BRIDGE_PORT=8081 python3 vscode_bridge.py # Background mode python3 vscode_bridge.py &
Health Check
curl http://localhost:8080/health # Response: { "status": "healthy", "current_workspace": "/Users/you/AndroidProject", "available_tools": ["gradle_build", "run_tests", ...] }
Create Kotlin File
curl -X POST http://localhost:8080/ \ -H "Content-Type: application/json" \ -d '{ "tool": "create_kotlin_file", "arguments": { "file_path": "src/main/kotlin/MainActivity.kt", "package_name": "com.example.app", "class_name": "MainActivity" } }'
Run Gradle Build
curl -X POST http://localhost:8080/ \ -H "Content-Type: application/json" \ -d '{ "tool": "gradle_build", "arguments": { "task": "assembleDebug", "clean_first": true } }'
Format Kotlin Code
curl -X POST http://localhost:8080/ \ -H "Content-Type: application/json" \ -d '{ "tool": "format_code", "arguments": {} }'
Run Static Analysis
curl -X POST http://localhost:8080/ \ -H "Content-Type: application/json" \ -d '{ "tool": "run_lint", "arguments": { "lint_tool": "detekt" } }'
Generate Documentation
curl -X POST http://localhost:8080/ \ -H "Content-Type: application/json" \ -d '{ "tool": "generate_docs", "arguments": { "doc_type": "html" } }'

VS Code Extension Integration

TypeScript/JavaScript Example
interface MCPRequest { tool: string; arguments: Record<string, any>; } interface MCPResponse { success?: boolean; result?: any; error?: string; } class MCPBridgeClient { private baseUrl: string; constructor(host = 'localhost', port = 8080) { this.baseUrl = `http://${host}:${port}`; } async healthCheck(): Promise<any> { const response = await fetch(`${this.baseUrl}/health`); return response.json(); } async callTool(tool: string, arguments: Record<string, any>): Promise<MCPResponse> { const response = await fetch(this.baseUrl, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ tool, arguments }) }); return response.json(); } async createKotlinFile(filePath: string, className: string): Promise<MCPResponse> { return this.callTool('create_kotlin_file', { file_path: filePath, class_name: className }); } async buildProject(task = 'assembleDebug'): Promise<MCPResponse> { return this.callTool('gradle_build', { task }); } } // Usage in VS Code extension const mcpClient = new MCPBridgeClient(); // In extension activation const health = await mcpClient.healthCheck(); console.log('MCP Bridge Status:', health.status); // Create new Kotlin file const result = await mcpClient.createKotlinFile( 'src/main/kotlin/NewClass.kt', 'NewClass' );

Troubleshooting Bridge Server

Common Issues
# Port already in use netstat -tulpn | grep 8080 # Kill process using port: sudo kill -9 <PID> # Permission denied sudo ufw allow 8080 # Ubuntu sudo firewall-cmd --add-port=8080/tcp # CentOS # Connection refused # Check if server is running: ps aux | grep vscode_bridge.py # Test with verbose curl: curl -v http://localhost:8080/health
Debug Mode
# Enable debug logging DEBUG=true python3 vscode_bridge.py # Check server logs tail -f /tmp/mcp-bridge.log

Performance Notes

  • Lightweight: Minimal HTTP server with low memory footprint
  • Workspace-aware: Automatically uses current VS Code workspace
  • Error handling: Graceful error responses with details
  • CORS support: Includes CORS headers for web applications

🧪 Testing & Quality Assurance

This project includes a comprehensive testing and quality assurance system. For detailed testing information, see TESTING_GUIDE.md.

Quick Testing Commands

# Run all tests make test # Run tests with coverage make coverage # Run quality checks make lint # Full CI pipeline make ci # Check for breaking changes python breaking_change_monitor.py

Quality Metrics

  • Test Coverage: 80% minimum
  • Performance: < 5s tool listing, < 2s file operations
  • Security: Zero high-severity vulnerabilities
  • Code Quality: Pylint score 8.0+/10.0

�📊 Monitoring & Analytics

The server provides comprehensive monitoring:

  • Security Events - Real-time security monitoring and alerts
  • API Usage - Request/response metrics, error rates, costs
  • File Operations - Backup status, sync health, storage usage
  • Compliance Status - GDPR/HIPAA compliance reporting
  • Performance Metrics - Response times, throughput, resource usage

🛡️ Security Best Practices

  1. Environment Variables - Store sensitive data in .env files
  2. Encryption Keys - Use strong, unique encryption passwords
  3. API Keys - Rotate API keys regularly
  4. Audit Logs - Review security logs periodically
  5. Access Controls - Implement least privilege principles
  6. Data Classification - Properly classify and handle sensitive data

📄 License & Compliance

This MCP server is designed to help you build compliant applications:

  • GDPR Ready - Full Article 25 "Privacy by Design" implementation
  • HIPAA Compatible - Meets Technical Safeguards requirements
  • SOC 2 Type II - Security controls framework
  • ISO 27001 - Information security management standards

🤝 Contributing

We welcome contributions! Please see our contributing guidelines for:

  • Code style and standards
  • Security review process
  • Testing requirements
  • Documentation standards

🆘 Support & Resources

  • Documentation - Complete API documentation in /docs
  • Examples - Industry-specific examples in /examples
  • Issues - Report bugs and feature requests
  • Security - Report security issues privately

🚀 Getting Started Checklist

Installation & Setup

  • Install Python 3.8+ and pip
  • Clone repository: git clone <repo-url>
  • Install dependencies: pip install -r requirements.txt
  • Configure environment variables in .env file
  • Install required IDE plugins/extensions
  • Validate installation: python3 validate_config.py

Basic Tool Testing

  • Test project analysis: {"name": "analyze_project", "arguments": {"analysis_type": "architecture"}}
  • Test file creation: {"name": "create_kotlin_file", "arguments": {"file_path": "Test.kt", "class_name": "Test"}}
  • Test build: {"name": "gradle_build", "arguments": {"task": "assembleDebug"}}
  • Test AI integration: {"name": "query_llm", "arguments": {"prompt": "Hello world", "llm_provider": "local"}}

Advanced Features

  • Set up MVVM architecture: setup_mvvm_architecture
  • Configure dependency injection: setup_dependency_injection
  • Implement security features: encrypt_sensitive_data
  • Set up compliance (if needed): implement_gdpr_compliance or implement_hipaa_compliance
  • Configure cloud sync: setup_cloud_sync
  • Set up external APIs: setup_external_api

Testing & Quality

  • Generate unit tests: generate_unit_tests
  • Run comprehensive tests: run_tests
  • Perform code analysis: analyze_code_with_ai
  • Run lint checks: run_lint
  • Generate documentation: generate_docs

Optional Integrations

  • Test VS Code bridge server: python3 vscode_bridge.py
  • Configure Claude Desktop integration
  • Set up cloud storage backup
  • Enable AI code generation features

🎉 Ready to build enterprise-grade Android applications with 27 comprehensive tools at your disposal!

📚 Next Steps

  1. Explore the Tools: Start with basic tools like analyze_project and create_kotlin_file
  2. Set Up Architecture: Use setup_mvvm_architecture for clean code structure
  3. Add Security: Implement encrypt_sensitive_data and compliance features
  4. Generate Code: Leverage AI tools for rapid development
  5. Test Everything: Use generate_unit_tests and run_tests for quality assurance

🆘 Getting Help

  • Tool Reference: Each tool has detailed parameter documentation above
  • Examples: Industry-specific examples in the README
  • Troubleshooting: Comprehensive troubleshooting section included
  • Best Practices: Follow the tool usage guidelines for optimal results

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Kotlin MCP Server for Android app development using OpenAI, Gemini, or OpenRouter. Enables AI-assisted coding via Aider, Gradle build/test integration, Kotlin LSP, and Docker-based portability.

  1. 🌟 Enterprise Features Overview
    1. 🔒 Security & Privacy Compliance
    2. 🤖 AI/ML Integration
    3. 📁 Advanced File Management
    4. 🌐 External API Integration
    5. 🏗️ Advanced Android Development
  2. 🚀 Quick Start & Installation
    1. ✨ What's New in v2.0
    2. 📋 System Requirements
    3. 🔧 Installation Steps
    4. ⚡ Quick Setup Commands
    5. 🎯 Installation Summary
  3. 📚 Comprehensive Usage Guide
    1. � Complete Tool Reference
    2. 🚀 Quick Start Tool Examples
    3. 🛠️ Tool Usage Best Practices
    4. 📊 Tool Response Formats
    5. �🔒 Security & Privacy Features
    6. 🤖 AI Integration Features
    7. 📁 File Management Operations
    8. 🌐 External API Integration
    9. 🏗️ Advanced Android Development
    10. 🛠️ Tool-Specific Troubleshooting
    11. 🧪 Testing & Quality Assurance
  4. 🏥 Industry-Specific Examples
    1. Healthcare Application
    2. Financial Application
  5. 🔧 Configuration & Deployment
    1. Docker Deployment
    2. AI Agent Integration
  6. ⚙️ Configuration & Plugin Requirements
    1. 🔌 Required Plugins/Extensions
    2. 🛠️ IDE Configuration
  7. �️ Troubleshooting
    1. Common Installation Issues
    2. Configuration Issues
    3. Runtime Issues
    4. Known Issues & Fixes
    5. Performance Issues
    6. Getting Help
  8. 🌉 VS Code Bridge Server
    1. When to Use the Bridge Server
    2. Bridge Server Features
    3. Configuration
    4. Usage Examples
    5. VS Code Extension Integration
    6. Troubleshooting Bridge Server
    7. Performance Notes
  9. 🧪 Testing & Quality Assurance
    1. Quick Testing Commands
    2. Quality Metrics
  10. �📊 Monitoring & Analytics
    1. 🛡️ Security Best Practices
      1. 📄 License & Compliance
        1. 🤝 Contributing
          1. 🆘 Support & Resources
            1. 🚀 Getting Started Checklist
              1. Installation & Setup
              2. Basic Tool Testing
              3. Advanced Features
              4. Testing & Quality
              5. Optional Integrations
              6. 📚 Next Steps
              7. 🆘 Getting Help

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