What programming languages are supported?
TypeScript, JavaScript, C#, Python, and more can be analyzed. Support for additional languages can be added by extending file types and regex patterns.
@mkearl
基本信息
A Model Context Protocol (MCP) server for analyzing code dependencies
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A Model Context Protocol (MCP) server that analyzes codebases to generate dependency graphs and architectural insights. It supports multiple programming languages and helps developers understand code structure, dependencies, and architectural patterns.
Install by cloning the repository, running npm install and npm run build. Configure by adding the server to your MCP settings file with the command node and the path to the compiled index.js. Optionally set environment variables MAX_LINES_TO_READ, CACHE_DIR, and CACHE_TTL. Use the available tools (analyze_dependencies, get_dependency_graph, get_file_metadata, get_architectural_score) by calling them from an MCP client.
TypeScript, JavaScript, C#, Python, and more can be analyzed. Support for additional languages can be added by extending file types and regex patterns.
Set `CACHE_DIR` (default `.dependency-cache`) and `CACHE_TTL` (default 1 hour) environment variables. `MAX_LINES_TO_READ` controls how many lines per file are processed.
Dependency graphs can be returned in JSON or DOT format, selected via the `format` parameter.
The score starts at 100 and deducts 5 points for each violation of the defined architectural rules.
Add file extensions to `fileTypes`, implement language-specific regex patterns in `parseFileImports` and `parseFileExports`, and add architectural patterns to `inferArchitecturalLayer`.

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