What languages does Scast support?
It supports C#, JavaScript, Python, TypeScript, C, and C++ by default, with additional languages available via TreeSitter customization.

@davidkingzyb
Static Code Analysis and Visualization. Convert Code to UML and Flow Diagram and explain by AI.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"scast": {
"command": "node",
"args": [
"/YOUR_INSTALL_DIR/SCAST/mcp/index.js",
"/YOUR_WORKSPACE/",
"C:\\Users\\DKZ\\OTHER_ALLOWED_DIR\\"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Scast is a Model Context Protocol server that provides static code analysis and visualization. It converts source code into UML diagrams, flowcharts, and AST trees, supporting multiple programming languages via TreeSitter. It is intended for developers who want to analyze, summarize, and visualize code structures within an AI client.
Clone the repository, run npm install, then configure the MCP server in your AI client with the command node and the path to /YOUR_INSTALL_DIR/SCAST/mcp/index.js followed by one or more allowed workspace directories. The server exposes two tools: scast_analysis for generating diagrams and keyword explanations, and scast_retriever for searching code definitions.
It supports C#, JavaScript, Python, TypeScript, C, and C++ by default, with additional languages available via TreeSitter customization.
Clone the repo, run `npm install`, then add the configuration block to your MCP client’s settings, specifying the path to `index.js` and allowed workspace directories.
No; the MCP server runs locally. Online demo is available, but the MCP server works offline after installation.
The README does not specify transport or authentication details; it uses the standard MCP transport via command invocation and file system access to directories you provide.
Provide the file path of the source code folder, then supply a keyword (class name, method name, or field name) to retrieve the corresponding source code definition.

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