AutoDocs MCP Server

# Multi-Project Architecture Overview **Purpose**: High-level architecture of the multi-project ecosystem **Audience**: Developers, AI agents, and technical stakeholders **Updated**: August 11, 2025 ## 🏗️ System Architecture Philosophy ### Multi-Project Design Principles #### Project Autonomy with Shared Foundation Each project operates independently while leveraging shared: - **Development Standards**: Consistent code quality, testing, and documentation approaches - **Technology Stack**: Common tools, frameworks, and infrastructure patterns - **Architecture Patterns**: Reusable design solutions and integration protocols - **Quality Standards**: Testing, security, and performance requirements #### Agent-First Architecture The entire system is designed for AI agent collaboration: - **Context-Rich Documentation**: Structured information for AI understanding - **Tool Integration**: Native MCP protocol support for AI development environments - **Autonomous Operation**: Systems that agents can operate with minimal human intervention - **Extensible Design**: Architecture that agents can enhance and modify --- ## 📊 Project Portfolio Architecture ### Current Project Ecosystem ```mermaid graph TB A[AutoDocs MCP Server] --> D[Shared Standards] B[Documentation Site] --> D C[Task Graph System] --> D D --> E[Development Standards] D --> F[Technology Stack] D --> G[Quality Standards] D --> H[Architecture Patterns] A --> I[PyPI Integration] A --> J[MCP Protocol] B --> K[GitHub Pages] C --> L[AI Agent Research] subgraph "Production Systems" A end subgraph "Development Systems" B end subgraph "Research Systems" C end ``` ### Project Relationship Matrix | Project | AutoDocs MCP | Documentation Site | Task Graph System | |---------|-------------|-------------------|-------------------| | **AutoDocs MCP** | - | Provides content & examples | Provides MCP expertise | | **Documentation Site** | Documents & showcases | - | May showcase research | | **Task Graph System** | May use MCP patterns | May be documented | - | ### Shared Infrastructure Components #### Development Infrastructure - **Version Control**: Git with GitHub for all projects - **CI/CD**: GitHub Actions with standardized workflows - **Package Management**: uv for Python, npm for JavaScript - **Quality Tools**: Ruff, MyPy, pytest for consistent code quality #### Documentation Infrastructure - **Documentation as Code**: Markdown in version control - **Automated Deployment**: GitHub Actions to GitHub Pages - **Cross-References**: Consistent linking between projects - **Agent Context**: Structured documentation for AI consumption #### Monitoring & Observability - **Health Checks**: Standardized health endpoints across projects - **Structured Logging**: Consistent logging format for analysis - **Performance Metrics**: Common metrics collection patterns - **Error Tracking**: Structured error reporting and analysis --- ## 🤖 AI Agent Integration Architecture ### MCP Protocol as Core Integration Layer #### AutoDocs MCP Server ```python # Core MCP server providing AI development assistance class AutoDocsMCPServer: """MCP server for AI development assistance""" def scan_dependencies(self, project_path: str) -> DependencyInfo: """Parse project dependencies with graceful degradation""" def get_package_docs_with_context(self, package: str) -> ContextualDocs: """Fetch comprehensive documentation context""" def health_check(self) -> HealthStatus: """Production-ready health monitoring""" ``` #### Agent Context Management ```python # How agents access cross-project context class AgentContext: """Manages context for AI agents across projects""" shared_standards: SharedStandards project_context: Dict[str, ProjectContext] integration_protocols: IntegrationProtocols def get_project_context(self, project_name: str) -> ProjectContext: """Retrieve project-specific context""" def get_shared_context(self) -> SharedContext: """Retrieve cross-project shared context""" ``` ### Agent Coordination Patterns #### Context Sharing Protocol 1. **Agent Initialization**: Agent reads project-specific CLAUDE.md 2. **Shared Context Access**: Agent accesses cross-project standards and patterns 3. **Integration Awareness**: Agent understands how projects connect 4. **Consistent Application**: Agent applies shared patterns while respecting project uniqueness #### Cross-Project Communication - **Shared Documentation**: Common knowledge base in `planning/cross-project/` - **Standard Interfaces**: Consistent APIs and integration patterns - **Event Protocols**: How projects notify each other of changes - **Error Handling**: Graceful degradation when cross-project dependencies fail --- ## 📁 Information Architecture ### Documentation Hierarchy for AI Agents ``` planning/ ├── PLANNING_INDEX.md # Master navigation and context entry point ├── projects/ # Project-specific agent context │ ├── autodocs-mcp/ # Production MCP server │ │ ├── PROJECT_INDEX.md # Project overview and navigation │ │ ├── active/ # Current priorities and status │ │ ├── reference/ # Core specifications and architecture │ │ ├── phases/ # Historical development phases │ │ └── expansion/ # Future roadmap and plans │ ├── documentation-site/ # Documentation and content strategy │ └── task-graph-system/ # AI agent research project ├── cross-project/ # Shared agent context │ ├── AGENT_CONTEXT_ARCHITECTURE.md # How agents share context │ ├── DEVELOPMENT_PHILOSOPHY.md # Core principles and approaches │ ├── shared_standards.md # Development and quality standards │ ├── technology_decisions.md # Technology stack and rationale │ └── ARCHITECTURE_OVERVIEW.md # This document - system architecture └── templates/ # Standardized project structures ├── PROJECT_TEMPLATE/ # Template for new projects ├── tracking_templates.md # Progress tracking formats └── meeting_templates.md # Communication templates ``` ### Context Access Patterns for Agents #### Project-Specific Work 1. Start with `projects/{project}/PROJECT_INDEX.md` 2. Access `projects/{project}/active/` for current status 3. Reference `projects/{project}/reference/` for technical details 4. Apply shared patterns from `cross-project/` #### Cross-Project Work 1. Start with `PLANNING_INDEX.md` for portfolio overview 2. Access `cross-project/ARCHITECTURE_OVERVIEW.md` for system understanding 3. Review `cross-project/shared_standards.md` for consistency requirements 4. Apply patterns consistently across all affected projects --- ## 🔧 Technology Architecture ### Core Technology Stack #### Python Ecosystem (AutoDocs MCP, Task Graph Research) ```python # Standard technology stack for Python projects python_stack = { "runtime": "Python 3.12+", "package_manager": "uv", "web_framework": "FastMCP (MCP) | FastAPI (general)", "async_runtime": "asyncio", "http_client": "httpx", "data_validation": "Pydantic v2", "testing": "pytest ecosystem", "quality": "Ruff + MyPy", "deployment": "PyPI packages" } ``` #### Web Development Stack (Documentation Site) ```javascript // Standard technology stack for web projects const webStack = { framework: "Next.js (React)", language: "TypeScript", styling: "Tailwind CSS", buildTool: "Vite | Next.js", packageManager: "npm | yarn", deployment: "GitHub Pages | Vercel" } ``` #### Development Tools (All Projects) ```yaml # Shared development tooling development_tools: version_control: "Git + GitHub" ci_cd: "GitHub Actions" code_quality: "Ruff, MyPy, pre-commit" documentation: "Markdown + GitHub Pages" monitoring: "Health checks + structured logging" ``` ### Integration Architecture #### MCP Protocol Integration ```python # How projects integrate with AI development environments class MCPIntegration: """Standard MCP integration pattern""" def register_tools(self) -> List[MCPTool]: """Register project-specific MCP tools""" def handle_requests(self, request: MCPRequest) -> MCPResponse: """Handle MCP requests with error handling""" def health_check(self) -> HealthStatus: """Provide health status for monitoring""" ``` #### Documentation Deployment Architecture ```yaml # How documentation is built and deployed documentation_deployment: source: "planning/ directory markdown files" build: "GitHub Actions workflow" processing: "Markdown to static site generation" deployment: "GitHub Pages" domain: "Custom domain for documentation site" ``` --- ## 📈 Scalability & Evolution Architecture ### Horizontal Project Scaling #### Adding New Projects 1. **Use Project Template**: Start with standardized structure from `templates/PROJECT_TEMPLATE/` 2. **Apply Shared Standards**: Inherit development standards and technology stack 3. **Create Project Context**: Establish project-specific CLAUDE.md and documentation 4. **Update Portfolio**: Add to `PLANNING_INDEX.md` and cross-project coordination #### Project Lifecycle Management - **Research Phase**: Minimal structure, focused on exploration and feasibility - **Development Phase**: Full project structure with active development - **Production Phase**: Mature project with maintenance and enhancement focus - **Archive Phase**: Completed projects moved to archived/ with preserved documentation ### Vertical Feature Scaling #### Enhanced Agent Capabilities - **Specialized Agents**: Different types of agents for different project needs - **Agent Learning**: Systems that improve through agent interactions - **Cross-Agent Communication**: Agents sharing insights and learnings - **Autonomous Coordination**: Agents coordinating work across projects #### Advanced Integration Patterns - **Service Mesh**: If projects become distributed services - **Event-Driven Architecture**: Asynchronous communication between projects - **API Federation**: Unified API layer across multiple projects - **Shared Data Layer**: Common data storage and access patterns --- ## 🔒 Security & Reliability Architecture ### Security Patterns #### Input Validation & Sanitization ```python # Standard security patterns across all projects class SecurityPatterns: """Shared security implementations""" @staticmethod def validate_input(data: Any, schema: Type[BaseModel]) -> BaseModel: """Validate all external inputs""" @staticmethod def sanitize_error_message(error: Exception) -> str: """Prevent information leakage in errors""" @staticmethod def audit_log(action: str, context: Dict) -> None: """Structured audit logging""" ``` #### Dependency Management - **Automated Scanning**: Regular vulnerability scans of all dependencies - **Version Pinning**: Explicit version control for reproducible builds - **License Compliance**: Ensure all dependencies have compatible licenses - **Supply Chain Security**: Verify integrity of package sources ### Reliability Patterns #### Graceful Degradation ```python # How systems handle partial failures async def fetch_with_fallback(primary_source, fallback_source): """Standard pattern for reliability""" try: return await primary_source() except Exception as e: logger.warning(f"Primary source failed: {e}") return await fallback_source() ``` #### Health Monitoring - **Health Endpoints**: Standardized health checks across all projects - **Dependency Checks**: Monitor health of external dependencies - **Performance Metrics**: Track key performance indicators - **Alert Systems**: Proactive notification of system issues --- ## 🔮 Future Architecture Evolution ### Planned Architectural Enhancements #### Enhanced AI Integration - **Multi-Modal Agents**: Support for agents that work with text, images, and other media - **Agent Orchestration**: Sophisticated coordination of multiple AI agents - **Learning Systems**: Architecture that improves through usage and feedback - **Context Optimization**: More sophisticated context management for large projects #### Advanced Development Patterns - **Micro-Frontend Architecture**: If web applications become complex - **Event Sourcing**: For projects requiring detailed audit trails - **CQRS Patterns**: Separate read/write patterns for performance - **Distributed Systems**: If projects require multi-instance deployment ### Long-term Architectural Vision - **AI-Native Development Platform**: Complete platform for AI-assisted development - **Community Ecosystem**: Architecture supporting external contributions and extensions - **Enterprise Integration**: Patterns for large-scale organizational deployment - **Open Source Leadership**: Architecture that influences industry standards --- *Architecture overview established: August 11, 2025* *Architecture supports AI agent collaboration and documentation site deployment* *Living document that evolves with system complexity and capabilities*