DependencyMCP Server
local-only server
The server can only run on the client’s local machine because it depends on local resources.
Integrations
Analyzes JavaScript codebases to generate dependency graphs, extract file metadata, and evaluate architectural patterns and dependencies.
Analyzes Python codebases to generate dependency graphs, extract file metadata, and evaluate architectural patterns and dependencies.
Analyzes TypeScript codebases to generate dependency graphs, extract imports/exports, and evaluate code against architectural rules and patterns.
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
- Clone the repository
- Install dependencies:
- Build the project:
Configuration
Add to your MCP settings file (usually located at ~/.config/cline/mcp_settings.json or equivalent):
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.
get_dependency_graph
Gets the dependency graph for a codebase in JSON or DOT format.
get_file_metadata
Gets detailed metadata about a specific file.
get_architectural_score
Scores the codebase against architectural rules and patterns.
Example Output
Dependency Graph (JSON)
Architectural Score
Development
The server is built with TypeScript and uses:
- Zod for schema validation
- diff for file comparison
- minimatch for glob pattern matching
Project Structure
Adding Support for New Languages
To add support for a new programming language:
- Add file extensions to the default
fileTypes
array - Implement language-specific regex patterns in
parseFileImports
andparseFileExports
- Add any language-specific architectural patterns to
inferArchitecturalLayer
License
MIT
This server cannot be installed
Analyzes codebases to generate dependency graphs and architectural insights across multiple programming languages, helping developers understand code structure and validate against architectural rules.