# Code Analysis

The MCP code analysis tool is an intelligent project code analysis and modification tool that integrates with Claude Desktop and provides functions such as code analysis, structure modification, and version management.

The MCP server provides text matching and syntax tree parsing functions, supports recursive search of files in directories, and is used for code analysis and reference finding.

This project is an MCP server used to integrate Google's Gemini model with Claude Code to achieve collaboration between the two AI systems. It provides functions such as direct query, collaborative brainstorming, code analysis, text analysis, content summarization, and image prompt generation.

An MCP server for multi - AI agent consultation that integrates different AI models such as OpenAI, Anthropic, and Google Gemini to provide multi - model perspective support for code analysis and problem - solving.

A tool that connects Claude with GitHub repositories through the MCP protocol, supporting functions such as code analysis and deployment workflow generation

SharpTools is a C# code analysis and modification tool based on Roslyn, providing AI developers with in - depth code processing capabilities similar to an IDE, supporting dynamic project mapping, precise code modification, Git integration, and other functions.

A server based on the MCP protocol, used to integrate Codelogic's software dependency data into AI programming assistants, providing code method and database impact analysis tools.

An automated code documentation generation tool based on the OpenRouter API that automatically generates documentation, test plans, and code review reports by analyzing the directory structure and file content of the code library.

An MCP plugin that provides code analysis capabilities for AI assistants, supporting code structure, quality, documentation analysis, and natural language queries.

The Rails MCP Server is a Model Context Protocol server implemented in Ruby, providing a standard interface for Rails projects to interact with large language models.

Bifrost is a VSCode extension that provides MCP server functionality, exposing VSCode's development tools and language features for use by AI tools, supporting advanced functions such as code navigation, analysis, and manipulation.

SCAST is a programming tool that converts code into UML diagrams and flowcharts, supports multiple languages, and helps understand code structure through static analysis and visualization.

The MCP Language Server project aims to provide development assistance tools such as accurate symbol definition, reference lookup, and diagnostic information for large code projects by integrating the features of the Language Server Protocol (LSP), addressing the limitations of LLMs when handling complex code.

The Bugsnag MCP Server is a model context protocol service for interacting with Bugsnag, allowing LLM tools like Cursor and Claude to investigate and resolve issues in Bugsnag, providing error monitoring, code intelligence analysis, and issue management functions.

Unreal Engine code analysis MCP server, providing powerful Unreal Engine code analysis capabilities for AI assistants

An MCP server that provides file system context for large language models, supporting file operations, code analysis, and intelligent search.

The MCP Development Agent is an intelligent development assistant based on the Model Context Protocol (MCP), providing memory management, document search, Git/GitHub integration, and code analysis functions. It supports CLI and SSE server modes and uses local AI models to achieve intelligent-assisted development.

Bifrost is a VSCode extension that provides MCP server functionality, exposing VSCode's development tools and language features for use by AI tools, and supporting code navigation, analysis, and operation.

Hanzo MCP is an AI service platform based on the Model Context Protocol, providing capabilities for code analysis, modification, project management, and integration with multiple development tools.

A GitHub repository creation tool based on the Model Context Protocol (MCP) that provides the functions of automatically analyzing local code repositories, generating metadata, and creating well-configured GitHub repositories, and supports integration with AI tools such as Copilot.

Codex Bridge is a lightweight MCP server that connects AI programming assistants with OpenAI Codex through the official CLI, supporting multi - client interaction without API costs.

RepoMap is a powerful code repository analysis and navigation tool that can be used as a command - line application or an MCP server. It intelligently analyzes the code structure and generates a prioritized code map through Tree - sitter code parsing and the PageRank algorithm.

An intelligent Pull Request analysis assistant that integrates GitHub and Notion to achieve automated code review document generation.

A Roslyn-based .NET C# code analysis MCP server that provides functions such as unreferenced code detection and solution structure analysis to help AI agents perform code quality checks.

PMAT is a zero-configuration AI code context generation tool that provides functions such as code quality analysis, technical debt grading, mutation testing, repository health scoring, and semantic search. It supports over 17 programming languages and can be integrated with AI assistants such as Claude Code through the MCP protocol.

A code context analysis service based on WebAssembly, providing directory structure and code symbol extraction functions, supporting the analysis of JavaScript/TypeScript and Python languages, and seamlessly integrating with AI assistants.

The LSP - MCP server is a bridge service that enables LLM to query code hover information and completion suggestions through the LSP protocol

An MCP server application for analyzing code repositories

An MCP server based on the Rust library, used to generate context prompts from codebases and help AI assistants better understand and process code repositories.

The MCP Python Toolbox is a service that implements the model context protocol, providing a comprehensive Python development toolset for AI assistants.