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DependencyMCP Server

by mkearl
OverviewInspectNewSchemaRelated ServersScore
JavaScript
Local
12
14

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

Deploy Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

How are these scores calculated?

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