SCAST
Analyzes source code to generate UML and flow diagrams with AI-powered explanations.
🔱SCAST
Static Code Analysis and Visualization
2024/9/27 by DKZ

English/中文
🔱SCAST is a programmatic tool that converts code into UML diagrams and flowcharts.
📽️watch video
📽️Tutorial
📽️MCP
support plan
- javascript (use acorn)
- typescript (use typescript for now estree later)
- csharp (use a custom parser no longer supported in future)
- python (ues a custom parser use filbert later)
- vue (later)
The underlying principle involves leveraging a parser to parse the code into an Abstract Syntax Tree (AST), followed by static analysis, and finally utilizing Mermaid and D3 for visualization.
You can try it online or just download this repo and open SCAST.html with browser.
For Developers it can be deployed on servers using npm run server. Or use it as MCP server integrate it into your AI client.
Update
MCP
git clone https://github.com/davidkingzyb/SCAST.gitdownload the source code.npm install- config at your client
{
"mcpServers": {
"scast":{
"command":"node",
"args":[
"/YOUR_INSTALL_DIR/SCAST/mcp/index.js",
"/YOUR_WORKSPACE/",
"C:\\Users\\DKZ\\OTHER_ALLOWED_DIR\\",
]
}
}
}
Tools
scast_analysis:
SCAST is a tool designed to assist users in analyzing and summarizing code through visualization. By simply providing the folder path where the code is located, SCAST can perform static analysis on the code, generating an AST tree to helping users understand the code structure and explain its functionality. Generate various visual charts such as UML diagrams, AST tree diagrams and Mermaid flowcharts. Finally return a keyword list containing all class and method names along with their functionality explanations, and include a link to allow users to view the chart details in their browser.
scast_retriever
SCAST is a tool that helps users analyze and summarize code and provides visualizations. You need to provide the file path of the source code folder. SCAST will perform static analysis on the source codes in the folder, generating an AST tree to help users understand the code structure and explain its functionality. After analyzing the code directory with SCAST, you can use keywords in the AST tree for searching, better answering user questions using a RAG method. This keyword can be a class name, method name, or field name. SCAST will find the source code at its definition and return it.
Ollama AI
install ollama first see ai.js for more details
ESTree
Compliant with ESTree specification AST parser
Force Directed Graph
More D3 Graph
- Indented tree
- Tidy tree
- Cluster tree
- Tadial tidy tree
- Radial cluster tree
- Force directed tree
- Edge bundling
Related Servers
Kaggle MCP
Get access to Kaggle's datasets, models, competitions, notebook and benchmarks.
MCP Builder
A Python-based server to install and configure other MCP servers from PyPI, npm, or local directories.
Sionic AI Serverless RAG
Integrates LLM applications with RAG data sources and tools using the Model Context Protocol.
CodeToPrompt MCP Server
An MCP server for the codetoprompt library, enabling integration with LLM agents.
Devopness
Devopness MCP server for DevOps happiness! Empower AI Agents to deploy apps and infra, to any cloud.
Kapture
A Chrome DevTools Extension that enables browser automation through the Model Context Protocol (MCP) for AI applications.
Algorand
A comprehensive MCP server for tooling interactions(40+) and resource accessibility(60+) plus many useful prompts to interact with Algorand Blockchain.
Laravel Codebase Introspection
Introspects Laravel codebases to provide structured information about views, routes, classes, and models using the mateffy/laravel-introspect package.
Framer Plugin MCP Server
Create and manage Framer plugins with web3 capabilities.
PowerShell
Execute PowerShell scripts for Windows automation, system maintenance, data processing, and network monitoring.