DependencyMCP Server

DependencyMCP Server Overview What is DependencyMCP Server? DependencyMCP Server is a Model Context Protocol (MCP) server designed to analyze code dependencies across various programming languages. It assists developers in understanding the structure and relationships within their codebases by generating detailed dependency graphs and providing architectural insights. How to use DependencyMCP Server? To use DependencyMCP, clone the repository, install the required dependencies using npm, and configure it by adding settings to your MCP settings file. Once set up, you can use various tools to analyze codebases and retrieve insights. Key Features of DependencyMCP Server: Multi-Language Support: Works with TypeScript, JavaScript, C#, Python, etc. Dependency Graph Generation: Produces graphs in JSON or DOT format. Architectural Analysis: Validates and infers code structure against predefined rules. File Metadata Extraction: Retrieves imports, exports, and metadata from files. Scoring System: Evaluates codebases against architectural standards. Use Cases of DependencyMCP Server: Generating visual dependency graphs for large projects. Validating architectural compliance in codebases. Extracting detailed file metadata for documentation purposes. Analyzing and scoring codebases based on architectural patterns. FAQ from DependencyMCP Server: What languages does DependencyMCP support? Supports multiple languages including TypeScript, JavaScript, C#, and Python. How do I install DependencyMCP? Clone the repository and run npm install to set it up. Can DependencyMCP generate dependency graphs in formats other than JSON? Yes, it can generate graphs in both JSON and DOT formats.

As an MCP (Model Context Protocol) server, DependencyMCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use DependencyMCP, clone the repository, install the required dependencies using npm, and configure it by adding settings to your MCP settings file. Once set up, you can use various tools to analyze codebases and retrieve insights. Key Features of DependencyMCP Server: Multi-Language Support: Works with TypeScript, JavaScript, C#, Python, etc. Dependency Graph Generation: Produces graphs in JSON or DOT format. Architectural Analysis: Validates and infers code structure against predefined rules. File Metadata Extraction: Retrieves imports, exports, and metadata from files. Scoring System: Evaluates codebases against architectural standards. Use Cases of DependencyMCP Server: Generating visual dependency graphs for large projects. Validating architectural compliance in codebases. Extracting detailed file metadata for documentation purposes. Analyzing and scoring codebases based on architectural patterns. FAQ from DependencyMCP Server: What languages does DependencyMCP support? Supports multiple languages including TypeScript, JavaScript, C#, and Python. How do I install DependencyMCP? Clone the repository and run npm install to set it up. Can DependencyMCP generate dependency graphs in formats other than JSON? Yes, it can generate graphs in both JSON and DOT formats.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.