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CodeGraph CLI MCP Server

by Jakedismo
README.md3.72 kB
# CodeGraph Architecture Diagrams This directory contains various architecture diagrams for the CodeGraph project, providing visual representations of the system's structure, components, data flow, technology stack, deployment, and performance optimization layers. ## Diagrams - [System Architecture Overview](./system_architecture.md) - [Component Dependencies](./component_dependencies.md) - [Data Flow Diagram](./data_flow.md) - [Technology Stack and Deployment Architecture](./tech_stack_deployment.md) - [Performance Flow and Optimization Layers](./performance_flow.md) ## Viewing Diagrams These diagrams are created using [Mermaid](https://mermaid-js.github.io/mermaid/). You can view them directly in any Markdown viewer that supports Mermaid rendering (e.g., GitHub, VS Code). ## Generating Interactive HTML Reports For interactive HTML reports with clickable elements and drill-down capabilities, you can use the [Mermaid Live Editor](https://mermaid.live/) or integrate Mermaid rendering into a documentation site generator (e.g., [MkDocs with `mkdocs-mermaid2-plugin`](https://github.com/mkdocs/mkdocs-mermaid2-plugin)). ### Using Mermaid Live Editor 1. Open the `.md` file of the diagram you want to convert. 2. Copy the Mermaid code block (the content within ````mermaid ... ````). 3. Go to the [Mermaid Live Editor](https://mermaid.live/). 4. Paste the code into the editor on the left. 5. The interactive diagram will be rendered on the right. 6. You can then export the diagram as an SVG, PNG, or copy the HTML code. ### Example HTML Structure (Conceptual) ```html <!DOCTYPE html> <html> <head> <title>CodeGraph System Architecture</title> <script src="https://cdn.jsdelivr.net/npm/mermaid/dist/mermaid.min.js"></script> </head> <body> <h1>CodeGraph System Architecture Overview</h1> <div class="mermaid"> graph TB subgraph "Application Layer" CLI[CLI Tools] Web[Web Interface] API[API Gateway] MCP[MCP[MCP Server]] end subgraph "AI/ML Intelligence Layer" RAG[RAG Engine] EMB[Embedding Service] NLP[NLP Processing] CTX[Context Manager] end subgraph "API Protocol Layer" GQL[GraphQL API] REST[REST API] WSS[WebSocket/SSE] SDK[Client SDKs] end subgraph "Processing Layer" PAR[Code Parser] ANA[Semantic Analyzer] IND[Indexing Engine] QUE[Query Engine] end subgraph "Storage Layer" GS[Graph Store] VS[Vector Store] FS[File System] CACHE[Cache Layer] end subgraph "Infrastructure Layer" RDB[(RocksDB)] FAISS[(FAISS Index)] MEM[Memory Pool] NET[Network Layer] end CLI --> API Web --> API API --> RAG MCP --> RAG RAG --> EMB RAG --> CTX EMB --> NLP GQL --> QUE REST --> QUE WSS --> QUE PAR --> IND ANA --> IND IND --> VS QUE --> GS GS --> RDB VS --> FAISS CACHE --> MEM NET --> ALL </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html> ```

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