Skip to main content
Glama

MCP Agile Flow

by smian0
902-arch.md4.72 kB
--- description: Use when creating or updating Architecture Documentation to ensure proper structure and technical clarity globs: **/*.arch.md, ai-docs/arch.md alwaysApply: false --- # Architecture Documentation Standards ## Context - When creating a new Architecture Document - When updating existing architecture documentation - When making significant technical decisions - When defining project structure and technology choices ## Requirements - Document architectural decisions clearly - Maintain a Changelog for updates - Use diagrams to illustrate system components and interactions - Define technology stack and justifications - Outline project structure - Include data models and API specifications ## Template Structure ### Required Sections #### 1. Title - Format: "Architecture for {project}" #### 2. Status - Draft - Approved #### 3. Technical Summary - Brief overview of the architectural approach - Key design patterns and principles - High-level system description #### 4. Technology Table - Table listing choices for languages, libraries, infrastructure, etc. - Column for technology name/type - Column for description and justification #### 5. Architectural Diagrams - System component diagrams - Data flow diagrams - Interaction models - Use Mermaid syntax for diagrams #### 6. Data Models, API Specs, Schemas - Database schema definitions - API endpoints and specifications - Data structures and types - Not exhaustive but covering key components #### 7. Project Structure - Folder and file organization - Component relationships - Code organization principles #### 8. Change Log - Table of key changes after document approval - Includes change title, related story ID, and description ## Commands - "Create architecture document for {project}": Generates a new architecture file - "Update architecture status to {status}": Updates architecture status - "Add technology {technology} to architecture": Adds a new technology to the stack ## Examples <example> # Architecture for Sensor Data Processing Platform ## Status Approved ## Technical Summary The Sensor Data Processing Platform is designed as a scalable, event-driven system that collects, processes, and analyzes data from various IoT sensors. The architecture follows a microservices approach with a message queue for handling high-volume data streams. ## Technology Table | Technology | Description | |------------|-------------| | Node.js | Backend services for API and data processing | | MongoDB | Primary database for sensor data storage | | Kafka | Message queue for event streaming | | React | Frontend dashboard for visualization | | Docker | Containerization for deployment | | AWS | Cloud infrastructure provider | ## Architectural Diagrams ```mermaid graph TD A[Sensors] -->|Data| B[Ingest API] B -->|Raw Data| C[Kafka] C -->|Events| D[Processing Service] D -->|Processed Data| E[MongoDB] E --> F[Analytics Service] F --> G[Dashboard API] G --> H[React Frontend] style A fill:#f9f,stroke:#333 style B fill:#bbf,stroke:#333 style C fill:#bbf,stroke:#333 style D fill:#bbf,stroke:#333 style E fill:#dfd,stroke:#333 style F fill:#bbf,stroke:#333 style G fill:#bbf,stroke:#333 style H fill:#f9f,stroke:#333 ``` ## Data Models ### Sensor Reading ```json { "sensorId": "string", "timestamp": "datetime", "value": "number", "type": "string", "location": { "lat": "number", "long": "number" }, "metadata": "object" } ``` ## Project Structure ``` /src /api # REST API endpoints /services # Business logic /models # Data models /utils # Helper functions /config # Configuration files /frontend /components # React components /pages # Page layouts /state # State management /scripts # Deployment scripts /docs # Additional documentation ``` ## Change Log | Change | Story ID | Description | |--------|----------|-------------| | Added Kafka | Story-3 | Integrated Kafka for improved scalability | | Updated Schema | Story-7 | Added metadata field to sensor readings | </example> <example type="invalid"> # Technical Design - Node.js backend - MongoDB database - React frontend We'll use microservices. Project will be organized into folders. TODO: Add diagrams later. </example> ## Critical Rules - Architecture document must define clear technology choices with justifications - Diagrams must be included to illustrate system components and interactions - Data models must be defined for key entities - Project structure must be clearly documented - Changes must be tracked in the changelog after approval - Technical decisions must be clearly explained

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/smian0/mcp-agile-flow'

If you have feedback or need assistance with the MCP directory API, please join our Discord server