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๐ง 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.
Configuration
View docs{
"mcpServers": {
"normaltusker-kotlin-mcp-server": {
"url": "http://localhost:8080/mcp",
"headers": {
"MCP_GDPR_MODE": "true",
"MCP_HIPAA_MODE": "true",
"MCP_MAX_RETRIES": "5",
"MCP_SIDECAR_CMD": "[\"java\",\"-jar\",\"kotlin-sidecar.jar\"]",
"MCP_LLM_PROVIDER": "local",
"MCP_API_TIMEOUT_MS": "3000",
"MCP_ENCRYPTION_KEY": "<YOUR_BASE64_KEY>",
"MCP_RATE_LIMIT_QPS": "10",
"MCP_BACKUP_RETENTION_DAYS": "30",
"MCP_SYNC_INTERVAL_SECONDS": "300"
}
}
}
}You run an enterprise-grade MCP Server that gives AI agents secure, context-aware access to Kotlin-based Android projects. It provides AI-assisted code generation, analysis, and development tooling with strong security, privacy, and modular architecture so you can scale your Android workflows across teams while staying compliant.
You use an MCP client to interact with the server through either a local (stdio) process or a remote HTTP endpoint. Once connected, you can analyze your Android projects, generate code with AI assistance, scaffold architectures like MVVM, set up DI, manage rooms and databases, add security and compliance features, orchestrate API integrations, and run builds and tests across your Kotlin codebase. The tools are designed to understand your project root and to operate inside your workspace, never modifying files outside your project unless you explicitly allow it.
Prerequisites you need before installing: Python 3.8 or newer, a Python package manager (pip), Git, and an IDE with MCP support if you plan to integrate with an IDE. You also need a working Android project path you want to connect to the MCP Server.
Step 1. Clone and set up the project. Use your preferred URL to clone the MCP server repository into a local directory, then navigate into the project. Step 2. Install dependencies. Run the installation script or install dependencies manually as needed by your environment. Step 3. Install and configure the MCP server. Use the provided installer to perform a zero-configuration setup or follow the manual steps if you prefer to customize paths and settings.
Step 4. Start the server using the standard runtime command. If you are using the automatic installer, you will get a ready-to-run server command. If you run the server directly, start with the recommended Python invocation and the main server script.
Security and privacy features are built in. You get GDPR and HIPAA compliance features, audit trails, data encryption, and privacy-by-design protections. You can enable local AI inference or connect to external LLM providers, and you can integrate with cloud storage for enterprise-grade file management.
The server is organized into modular components for AI integration, Android project management, Gradle tooling, security, testing, and utilities. This design supports scalable tool exposure with intelligent proxies and robust error handling.
Build Android projects by executing Gradle tasks such as assembleDebug, assembleRelease, or test.
Execute unit, integration, or UI tests with comprehensive reporting.
Generate Kotlin source files with proper package declarations and structure.
Create Android XML layouts with appropriate root and attributes.
Provide analysis of project structure, dependencies, security, and performance.
Format Kotlin code according to style guidelines.
Run static analysis with lint tools like detekt or ktlint.
Generate project documentation in HTML or other formats.
Generate Jetpack Compose UI components with best practices.
Create custom Android views with lifecycle management.
Set up MVVM architecture including ViewModel, Repository, and UI layers.
Configure dependency injection with Hilt or Dagger.
Create Room database with entities, DAOs, and migrations.
Set up Retrofit API interfaces with interceptors and error handling.
Encrypts sensitive data using enterprise encryption standards.
Implement GDPR compliance features including consent and data export.
Implement HIPAA-compliant security measures and audit logging.
Configure encrypted persistent storage with key management.
Query local or remote language models for code assistance.
Use AI to analyze code for security, performance, and quality.
AI-powered code generation based on natural language input.
Advanced file operations including backup and sync with encryption.
Configure cloud storage synchronization with encryption.
Configure external API integrations with security and monitoring.
Make secured API calls with monitoring and retries.
Generate unit tests for Kotlin classes.
Configure UI testing framework with Espresso or Compose tests.
Get comprehensive Git status including branches and changes.
Create conventional commit messages based on changes.
Create feature branches with naming validations.
Attempt merges with conflict resolution advice.
Make authenticated API calls with monitoring and compliance.
Get real-time API usage and performance metrics.
Validate API usage against GDPR/HIPAA rules.
Fast project-wide searches with context.
Extract and organize TODO/FIXME comments.
Generate or update README content with tool catalog.
Summarize changelog entries into release notes.
Run build pipelines and collect test results.
Audit dependencies for vulnerabilities and licenses.
Manage security hardening features including RBAC and rate limiting.