# 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.

Kontxt MCP Server is a codebase context analysis service based on the Gemini model, providing codebase understanding tools for AI clients and supporting multiple transport protocols and context attachment functions.

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.

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.

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

Extract project summaries and MCP service tags from the code

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.

NetContextServer is a tool that enhances AI programming assistants' understanding of .NET codebases. It provides functions such as in-depth code analysis, semantic search, and test coverage analysis through the Model Context Protocol (MCP).

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

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.

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.

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.

The MCP server provides code analysis and documentation generation tools, supporting functions such as project code collection, structure analysis, and automatic report generation. It has a developer mode and high-quality testing standards.

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

The MCP front - end testing server provides functions such as code analysis, test generation and execution, and React component testing, and supports the Jest and Cypress frameworks.

An MCP server based on Sourcegraph, providing AI-enhanced code search capabilities, supporting advanced queries and content retrieval across code repositories.

Smart Tree is an ultra-fast directory visualization tool developed based on Rust. It is 10 - 24 times faster than the traditional tree command. It has features such as AI - optimized output, quantum compression, and intelligent search, and also focuses on environmental protection and energy conservation.

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.

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.

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.

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.

EDT MCP Server is an MCP protocol server plugin for 1C:EDT, allowing AI assistants (such as Claude, GitHub Copilot, Cursor, etc.) to interact with the EDT workspace, providing functions such as project information query, error reporting, code analysis, metadata management, application debugging, tagging and grouping, and visual form screenshots.

Instagit is an MCP server that enables AI programming assistants to instantly analyze and understand the source code of any GitHub repository, providing accurate integration, debugging, and code analysis capabilities based on real code rather than guesswork or outdated documentation.

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 ConsultingAgents MCP Server is a multi - model consulting agent server that provides four AI expert consulting services (Darren, Sonny, Sergey, Gemma) for Claude Code through the MCP protocol, supporting code analysis, document search, and repository - level development planning.

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.

DeepView MCP is a code analysis service based on the Gemini large model, providing IDEs with the ability to understand the context of the entire codebase.

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 service that provides code context analysis through the WebAssembly Tree - sitter parser, supports extracting directory structure and code symbols, and is compatible with the MCP protocol for integration with AI assistants.