DependencyMCP Server: Enabling Scalable Code Analysis and AI Integration

Overview: What is DependencyMCP Server?

DependencyMCP Server is a sophisticated Model Context Protocol (MCP) server designed to analyze codebases, generating dependency graphs and architectural insights across multiple programming languages. It serves as an essential tool for developers aiming to understand the intricate dependencies and architecture patterns within their projects, enhancing transparency and facilitating better code management.

🔧 Core Features & MCP Capabilities

DependencyMCP Server offers a robust set of features that make it a powerful instrument in modern software development:

Multi-Language Support: The server supports TypeScript, JavaScript, C#, Python, and more, ensuring comprehensive analysis across diverse projects.
Dependency Graph Generation: It can create detailed dependency graphs in both JSON and DOT formats, providing a visual representation of code dependencies.
Architectural Analysis: By inferring architectural layers and validating them against predefined rules, the server aids in maintaining a clean and organized codebase.
File Metadata Extraction: This includes extracting imports, exports, and other crucial metadata from source files to provide deeper insights into file structure.
Scoring System: Evaluates the codebase against a set of architectural rules and patterns, providing a quantitative measure of its adherence to best practices.

⚙️ MCP Architecture & Protocol Implementation

DependencyMCP Server is built on robust engineering principles ensuring seamless integration with MCP clients:

Zod for Schema Validation: Ensures strict data validation.
diff for File Comparison: Facilitates efficient comparison of file changes.
Minimatch for Glob Pattern Matching: Simplifies pattern matching operations.

Project Structure

The server's project structure is as follows:

dependency-mcp/
├── src/                # Core implementation
│   └── index.mts       # Main entry point
├── package.json        # Dependency and build management
├── tsconfig.json       # TypeScript configuration
└── README.md           # Documentation

🚀 Getting Started with Installation

To set up DependencyMCP Server, follow these steps:

Clone the repository: Fetch the necessary code.
Install dependencies: Run npm install to ensure all required packages are installed.
Build the project: Use npm run build to compile and prepare the server for deployment.

💡 Key Use Cases in AI Workflows

DependencyMCP Server’s capabilities can significantly enhance AI workflows, particularly in scenarios where developers need insights into codebases before integration:

Real-World Scenario 1: Automated Code Review

In a CI/CD pipeline, the server can automatically analyze repositories and generate dependency graphs, highlighting potential issues early. This proactive approach ensures that only well-structured projects are deployed, reducing runtime errors and improving overall application performance.

Real-World Scenario 2: Seamless AI Integration

Developers working on large-scale projects with multiple dependencies can rely on DependencyMCP Server to understand the architecture and identify points of integration for AI models more effectively. This ensures that AI components can be seamlessly integrated without disrupting existing code structures.

🔌 Integration with MCP Clients

DependencyMCP Server supports compatibility with a range of popular MCP clients:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

📊 Performance & Compatibility Matrix

To ensure dependable performance, DependencyMCP Server is rigorously tested across various environments and programming languages. The compatibility matrix provides a quick reference for supported clients and functionalities:

graph TD;
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8;

🛠️ Advanced Configuration & Security

Configuring DependencyMCP Server involves setting up environment variables to optimize performance and security:

{
  "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"
      }
    }
  }
}

❓ Frequently Asked Questions (FAQ)

Q: How does DependencyMCP Server integrate with other MCP clients?

A: DependencyMCP Server supports full compatibility with Claude Desktop and Continue for both resources and prompts, while offering tools support only with Cursor.

Q: What programming languages are supported by the server?

A: Supported languages include TypeScript, JavaScript, C#, Python, along with a mechanism to add support for new ones.

Q: Can I customize the score system in DependencyMCP Server?

A: Yes, you can define custom rules and patterns using the get_architectural_score tool.

Q: Is there an open-source license available for DependencyMCP Server?

A: Yes, the server is released under the MIT License, allowing extensive modification and reuse.

Q: How do I add support for a new language in the DependencyMCP Server?

A: Adding languages involves updating file types, implementing regex patterns for imports/exports, and defining architectural rules.

👨‍💻 Development & Contribution Guidelines

DependencyMCP Server welcomes contributions from the community. To contribute, ensure you:

Read contributing guidelines: Follow the project’s contribution process.
Run tests: Ensure every pull request undergoes thorough testing using the existing test suite.
Document changes: Clearly document any new features or significant modifications.

🌐 MCP Ecosystem & Resources

For a deeper exploration into the MCP protocol and other related tools, visit the official Model Context Protocol documentation site. Engage with the growing community of developers building AI applications and incorporating MCP for seamless integration.

By leveraging DependencyMCP Server within your development workflow, you can significantly enhance your project management, ensuring robust dependencies and well-defined architectures—ultimately fostering a more productive and efficient development experience.

DependencyMCP Server