# Code analysis

An MCP server project that uses Codelogic's software dependency data in an AI programming assistant to provide a code impact assessment tool.

C4Diagrammer is a documentation generation tool based on the MCP protocol. It can automatically analyze the codebase and generate C4 architecture diagrams and code summary documentation to help teams quickly understand complex systems.

The DeepSource MCP Server is a service that implements the Model Context Protocol, used to connect the DeepSource code quality analysis platform with an AI assistant, providing functions for querying code quality indicators, issues, and accessing analysis results.

An intelligent code analysis and debugging service based on the Perplexity AI API, integrated with the Claude desktop client through the MCP protocol, providing functions such as error analysis, pattern recognition, and solution recommendation.

Code Index MCP is a code indexing and analysis server based on the Model Context Protocol (MCP), providing functions such as code search, file analysis, and intelligent filtering. It supports multiple programming languages and helps developers efficiently manage codebases.

This project is a tool for running a Model Context Protocol (MCP) server. It encapsulates the functions of the CodeQL query server and supports interaction with CodeQL through structured commands and document search.

MCP Server Semgrep is a server that complies with the Model Context Protocol standard, integrating the Semgrep static analysis tool with an AI assistant to provide code security analysis, quality improvement, and vulnerability detection functions. The project simplifies the architecture design, supports multi - platform operation, can be installed in multiple ways, and provides a rich set of code analysis functions.

UIThub MCP Server is a GitHub repository content interaction service designed for Claude, which can intelligently retrieve and analyze code library content through the API.

McpDocs is a documentation tool for Elixir projects that provides documentation information for project functions and dependent functions to LLM through the SSE MCP server.

An AI software architect server based on the MCP protocol that can analyze codebases to generate product requirement documents (PRDs) and provide reasoning assistance for complex coding tasks. It uses a multi-model architecture and intelligent agent design.

Codebase MCP is a service that implements the Model Context Protocol (MCP), providing tools for retrieving and analyzing entire codebases through RepoMix, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand large codebases.

gopls-mcp is an MCP server project that integrates the Go language server (gopls) with MCP-compatible hosts (such as Claude Code and VS Code). It provides 14 Go development tools, including code navigation, diagnostic analysis, and code assistance, and supports simultaneous operation of multiple workspaces.

An MCP server tool that provides in - depth analysis for Unreal Engine code

An MCP server that helps AI code editors find symbol definitions in TypeScript projects, which can locate the original definition positions and code snippets of imported symbols.

Houtini LM is an MCP server that connects Claude to LM Studio, providing expert - level code analysis, document generation, and creative project scaffolding functions. It supports local operation without API costs and is suitable for developers and creators.

The Qwen MCP tool is a server based on the model context protocol that integrates Qwen CLI with AI assistants, providing functions such as large context window analysis, file processing, sandbox execution, and multi - model support.

DeepContext is an MCP server that provides symbol - aware semantic search capabilities for code assistants. By intelligently parsing code structure and semantic relationships, it can accurately locate relevant code snippets in large codebases and improve development efficiency.

This is an MCP server that provides a standardized interface for the CodeQL N1ght tool, enabling AI assistants to automate the code analysis workflow, including environment installation, database creation, and security scanning.

An MCP server for analyzing the structure, complexity, and dependencies of Python code.

Quack is a continuous integration server based on the MCP protocol, focusing on the automated analysis and testing of Python code. It provides functions such as code style checks and static type analysis.

A code analysis server based on the MCP protocol that helps AI models understand and analyze codebases through natural language conversations, providing lightweight code exploration and understanding capabilities.

A language server tool based on the MCP protocol, providing precise code analysis capabilities for LLMs

Lucidity is a Model Context Protocol (MCP) server that aims to improve the quality of AI-generated code through intelligent prompt analysis. It provides structured guidance to help identify and resolve code quality issues, supports multiple programming languages, and can seamlessly integrate with AI assistants.

A Claude - based code analysis tool for analyzing open - source projects and generating intelligent merge strategies

This project is an MCP server for Linux source code query based on Elixir, aiming to help LLM more accurately read and analyze the Linux kernel code.

A Semgrep server based on the MCP protocol for integrating the static code analysis tool Semgrep into the development environment, supporting rule management and scanning functions.

The MCP Server provides code analysis and document generation tools, supporting multi - language project structure analysis and code collection.

Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.

Omen is an AI code analysis CLI tool that provides codebase context for AI assistants through multiple metrics such as complexity analysis, technical debt detection, dependency graph, and hotspot analysis, helping to predict defects and identify risks.

FileScopeMCP is a TypeScript - based tool used to analyze the importance of files in a codebase, track dependencies, and provide visual charts, helping developers quickly understand the code structure.