MCP Code Analyzer MCP Server: Intelligent Code Analysis and Management

Overview: What is MCP Code Analyzer?

The MCP Code Analyzer is a robust code analysis and management tool designed to integrate seamlessly with various AI applications, particularly those using Model Context Protocol (MCP). Its primary purpose is to ensure that when modifications are made to the project structure or codebase, related usages are intelligently updated. Currently in an active development phase, it offers critical functionalities such as project analysis, code analysis, file operations, and more.

🔧 Core Features & MCP Capabilities

The MCP Code Analyzer leverages Model Context Protocol for seamless integration with AI applications like Claude Desktop, Continue, Cursor, and others. Here are some of its core features:

Project Analysis

• analyze_project_structure: Analyzes the entire project structure in XML tree format.
• analyze_project_statistics: Provides statistical insights about various aspects of the project.
• analyze_project_technology: Identifies the technologies used within the project.

Code Analysis

• analyze_imports: Tracks and analyzes import statements to understand dependencies.
• analyze_file: Offers detailed analysis on individual files.
• find_references: Locates references in the codebase, providing insights into usage patterns and interdependencies.

File Operations & Version Control

• file_operations: Perfoims operations like modification of existing files. Note: Always backup before use due to potential risks.
• version_control: Creates dated backups during file modifications.

Code Modification Tools

While powerful, the code_modifier tool currently has significant issues and is marked as "⚠️🔄". It performs modifying code line by line but requires careful handling due to its unstable state.

⚙️ MCP Architecture & Protocol Implementation

The architecture of MCP Code Analyzer is built around Model Context Protocol (MCP), which enables seamless communication between AI applications and the server. The protocol ensures that changes made via the UI are reflected accurately in the backend, facilitating a unified development experience.

MCP Protocol Flow Diagram

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;

MCP Client Compatibility Matrix

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

🚀 Getting Started with Installation

To get started, follow these steps:

1. Clone the Repository:

   git clone https://github.com/[your-username]/mcp-code-analyzer.git
   cd mcp-code-analyzer
   

2. Install Dependencies and Package:

   pip install -e .
   

💡 Key Use Cases in AI Workflows

Use Case 1: Automated Code Modifications in Large Projects

Imagine you are working on a large software project for a client with strict guidelines. Using MCP Code Analyzer, you can make necessary modifications to the codebase and automatically update all related files without manual intervention. This saves significant time and reduces error rates.

Use Case 2: Real-Time Project Monitoring and Analysis

When developing complex applications, monitoring real-time changes in project structure is crucial. MCP Code Analyzer provides live insights into how your project evolves over time, ensuring that you stay on top of all ongoing modifications.

🔌 Integration with MCP Clients

The MCP Code Analyzer can be integrated effectively with various AI clients, including:

• Claude Desktop: It seamlessly integrates with Claude Desktop, offering enhanced functionalities through a standard protocol.
• Continue: Supports real-time updates and file operations directly within the Continue environment.
• Cursor: Provides direct integration of code analysis tools for seamless use.

📊 Performance & Compatibility Matrix

Feature	Status
Project Analysis	Fully Functional
Code Analysis	Partially Working, Some Issues
File Operations	Experimental, Limited Support
Version Control	In-Development

🛠️ Advanced Configuration & Security

Configuring the MCP Code Analyzer

Create or edit claude_desktop_config.json to configure custom paths and commands:

{
  "mcpServers": {
    "code-analyzer": {
      "command": "python",
      "args": [
        "-m",
        "mcp_code_analyzer",
        "--analyze-paths",
        "C:\\Projects\\path1"
      ],
      "type": "module"
    }
  }
}

Security Best Practices

Always ensure secure handling of API keys and sensitive information through environment variables:

{
  "env": {
    "API_KEY": "your-api-key"
  }
}

❓ Frequently Asked Questions (FAQ)

1. How do I integrate MCP Code Analyzer with my AI client?

   • Follow the integration guidelines provided by your AI client and ensure compatibility.

2. Can I connect multiple projects to MCP Code Analyzer simultaneously?

   • Yes, specify multiple project paths in the configuration file.

3. What are the main issues related to using code_modifier?

   • The code_modifier tool is currently marked as experimental due to significant issues, so exercise caution and always backup before use.

4. How do I handle large files with MCP Code Analyzer?

   • Use a combination of analyze_file and find_references for effective large file management.

5. Is there any limitation on the number of paths/files that can be analyzed?

   • No, but performance may vary depending on the size and complexity of the projects.

👨‍💻 Development & Contribution Guidelines

Contributions to MCP Code Analyzer are welcome! Whether you're fixing bugs, adding features, or improving documentation, your contributions help make the tool better. Follow these steps:

1. Fork the repository.
2. Make changes according to the issue descriptions.
3. Submit a pull request for review.

🌐 MCP Ecosystem & Resources

Explore the broader MCP ecosystem with resources like official documents and community forums available online.

By following this comprehensive guide, you can effectively leverage the MCP Code Analyzer to enhance your AI development workflows and streamline code management processes.