dependency-mcp

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

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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
  1. 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

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