MC

MCP Code Analyzer

A Model Context Protocol (MCP) server implementation for comprehensive code analysis. This tool integrates with Claude Desktop to provide code analysis capabilities through natural language interactions.

Created by emiryasar2025/03/27
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What is MCP Code Analyzer?

What is MCP Code Analyzer? The MCP Code Analyzer is a Model Context Protocol (MCP) server implementation designed for comprehensive code analysis. It integrates with Claude Desktop to facilitate natural language interactions for code analysis and project management. How to use MCP Code Analyzer? To use the MCP Code Analyzer, clone the repository, install the dependencies, and set up your Claude Desktop configuration according to the guidelines provided in the documentation. You can analyze various project files and paths using chat messages or configurations. Key features of MCP Code Analyzer? Intelligent project adaptation with code modifications. Project and file-level code analysis. Tools for analyzing project structures, code imports, file contents, and more. Option to modify code line by line (warning: potential issues). Use cases of MCP Code Analyzer? Analyzing large codebase structures for insights. Facilitating code refactoring and modification. Running project statistics and technology analysis. Integration with Claude Desktop for enhanced user interactions. FAQ from MCP Code Analyzer? What programming languages does MCP Code Analyzer support? The tool is written in Python and intended for projects in languages typically supported by the Claude integration. Are there known issues? Yes, the tool has some bugs and limitations, especially in context handling and code modifying features. Users are advised to backup their files. How do I contribute to the project? Contributions are welcome! You can fork the repository and submit pull requests for bug fixes, features, or documentation improvements.

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

How to use MCP Code Analyzer

To use the MCP Code Analyzer, clone the repository, install the dependencies, and set up your Claude Desktop configuration according to the guidelines provided in the documentation. You can analyze various project files and paths using chat messages or configurations. Key features of MCP Code Analyzer? Intelligent project adaptation with code modifications. Project and file-level code analysis. Tools for analyzing project structures, code imports, file contents, and more. Option to modify code line by line (warning: potential issues). Use cases of MCP Code Analyzer? Analyzing large codebase structures for insights. Facilitating code refactoring and modification. Running project statistics and technology analysis. Integration with Claude Desktop for enhanced user interactions. FAQ from MCP Code Analyzer? What programming languages does MCP Code Analyzer support? The tool is written in Python and intended for projects in languages typically supported by the Claude integration. Are there known issues? Yes, the tool has some bugs and limitations, especially in context handling and code modifying features. Users are advised to backup their files. How do I contribute to the project? Contributions are welcome! You can fork the repository and submit pull requests for bug fixes, features, or documentation improvements.

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

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP Code Analyzer can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Code Analyzer provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.