What is Dependency Mcp

Dependency-MCP is a Model Context Protocol (MCP) server designed for analyzing code dependencies across various programming languages. It generates dependency graphs and provides architectural insights to help developers understand the structure and relationships within their codebases.

Use cases

Use cases for Dependency-MCP include analyzing large codebases to visualize dependencies, validating architectural compliance, extracting metadata for documentation, and scoring code quality against predefined architectural patterns.

How to use

To use Dependency-MCP, clone the repository, install the necessary dependencies using ‘npm install’, and build the project with ‘npm run build’. Configure the MCP settings file to include the Dependency-MCP server details, and then utilize the available tools to analyze dependencies, retrieve dependency graphs, and assess architectural scores.

Key features

Key features include multi-language support (TypeScript, JavaScript, C#, Python, etc.), detailed dependency graph generation in JSON or DOT format, architectural analysis with rule validation, extraction of file metadata, and a scoring system to evaluate codebases against architectural rules.

Where to use

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DependencyMCP Server

A Model Context Protocol (MCP) server that analyzes codebases to generate dependency graphs and architectural insights. This server helps understand code structure, dependencies, and architectural patterns across multiple programming languages.

Features

• Multi-Language Support: Analyzes dependencies in TypeScript, JavaScript, C#, Python, and more
• Dependency Graph Generation: Creates detailed dependency graphs in JSON or DOT format
• Architectural Analysis: Infers architectural layers and validates against rules
• File Metadata: Extracts imports, exports, and other metadata from source files
• Scoring System: Evaluates codebase against architectural rules and patterns

Installation

1. Clone the repository
2. Install dependencies:

npm install

3. Build the project:

npm run build

Configuration

Add to your MCP settings file (usually located at ~/.config/cline/mcp_settings.json or equivalent):

json { mcpServers: { \DependencyMCP: { \command: \node, \args: [\path/to/dependency-mcp/dist/index.js], \env: { \MAX_LINES_TO_READ: \1000, \CACHE_DIR: \path/to/dependency-mcp/.dependency-cache, \CACHE_TTL: \3600000 } } }

Environment Variables:

• MAX_LINES_TO_READ: Maximum number of lines to read from each file (default: 1000)
• CACHE_DIR: Directory to store dependency cache files (default: .dependency-cache)
• CACHE_TTL: Cache time-to-live in milliseconds (default: 1 hour = 3600000)

Available Tools

analyze_dependencies

Analyzes dependencies in a codebase and generates a dependency graph.

const result = await client.callTool("DependencyMCP", "analyze_dependencies", {
  path: "/path/to/project",
  excludePatterns: ["node_modules", "dist"], // optional
  maxDepth: 10, // optional
  fileTypes: [".ts", ".js", ".cs"] // optional
});

get_dependency_graph

Gets the dependency graph for a codebase in JSON or DOT format.

const result = await client.callTool("DependencyMCP", "get_dependency_graph", {
  path: "/path/to/project",
  format: "dot" // or "json" (default)
});

get_file_metadata

Gets detailed metadata about a specific file.

const result = await client.callTool("DependencyMCP", "get_file_metadata", {
  path: "/path/to/file.ts"
});

get_architectural_score

Scores the codebase against architectural rules and patterns.

const result = await client.callTool("DependencyMCP", "get_architectural_score", {
  path: "/path/to/project",
  rules: [
    {
      pattern: "src/domain/**/*",
      allowed: ["src/domain/**/*"],
      forbidden: ["src/infrastructure/**/*"]
    }
  ]
});

Example Output

Dependency Graph (JSON)

{
  "src/index.ts": {
    "path": "src/index.ts",
    "imports": [
      "./utils",
      "./services/parser"
    ],
    "exports": [
      "analyze",
      "generateGraph"
    ],
    "namespaces": [],
    "architecturalLayer": "Infrastructure",
    "dependencies": [
      "src/utils.ts",
      "src/services/parser.ts"
    ],
    "dependents": []
  }
}

Architectural Score

{
  "score": 85,
  "violations": [
    "src/domain/user.ts -> src/infrastructure/database.ts violates architectural rules"
  ],
  "details": "Score starts at 100 and deducts 5 points per violation"
}

Development

The server is built with TypeScript and uses:

• Zod for schema validation
• diff for file comparison
• minimatch for glob pattern matching

Project Structure

dependency-mcp/
├── src/
│   └── index.mts    # Main server implementation
├── package.json
├── tsconfig.json
└── README.md

Adding Support for New Languages

To add support for a new programming language:

1. Add file extensions to the default fileTypes array
2. Implement language-specific regex patterns in parseFileImports and parseFileExports
3. Add any language-specific architectural patterns to inferArchitecturalLayer

License

MIT