広告掲載
MCP.so
ログイン

DependencyMCP Server MCP Server

@mkearl

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

mkearl

DependencyMCP Server MCP Server について

A Model Context Protocol (MCP) server for analyzing code dependencies

#dependency-mcp#code-analysis#dependency-graph

DependencyMCP Server MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

DependencyMCP Server MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is DependencyMCP Server?

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.

How to use DependencyMCP Server?

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.

Key features of DependencyMCP Server

  • Multi-language support: TypeScript, JavaScript, C#, Python, and more
  • Dependency graph generation in JSON or DOT format
  • Architectural layer inference and validation against rules
  • Extracts imports, exports, and other file metadata
  • Scores codebase compliance with architectural patterns

Use cases of DependencyMCP Server

  • Analyze dependencies in a project to understand its structure
  • Generate dependency graphs for documentation or refactoring
  • Inspect detailed metadata (imports, exports) of specific files
  • Score a codebase against custom architectural rules

よくある質問

1

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.

2

How do I configure caching?

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.

3

What output formats are available for dependency graphs?

Dependency graphs can be returned in JSON or DOT format, selected via the `format` parameter.

4

How is the architectural score calculated?

The score starts at 100 and deducts 5 points for each violation of the defined architectural rules.

5

How can I add support for a new language?

Add file extensions to `fileTypes`, implement language-specific regex patterns in `parseFileImports` and `parseFileExports`, and add architectural patterns to `inferArchitecturalLayer`.

コメント

「その他」の他のコンテンツ

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

EverArt

modelcontextprotocol

Model Context Protocol Servers

88.1K
N

Next Generation Movers: free moving quotes (remote MCP)

Next Generation Movers

Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

広告掲載