# 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.

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.

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

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.

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.

The MCP Source Relation Server is a tool for analyzing source code dependency relationships. It supports import parsing in multiple languages and helps Claude quickly understand the project structure.

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.

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.

PAELLADOC is an AI - first development framework that revolutionizes software development in the AI era by implementing the Model Context Protocol (MCP) and five major philosophical principles.

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.

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.

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.

An MCP server for AI-assisted programming that integrates development history data (Git commits, test results, Copilot sessions) into a searchable SQLite database, allowing AI assistants to access and analyze development history.

Arbor is a locally prioritized codebase impact analysis engine that accurately tracks function calls, imports, and inheritance relationships by building a semantic dependency graph, helping developers understand the actual impact scope of changes before refactoring.

Atlas MCP Server is an enterprise - level AI development tool that provides 33 professional tools, including RAG semantic search, ML defect prediction, intelligent code migration, and comprehensive test generation. It enhances the development capabilities of the IDE through an intelligent analysis pipeline.

A lightweight, stateless MCP server that allows development agents (such as Claude Code and GitHub Copilot) to delegate in - depth codebase analysis tasks to the Gemini CLI. By reading files locally and returning structured JSON results, it reduces the context consumption and model usage of agents.

An enterprise-level intelligent code analysis platform that provides codebase analysis, technical debt assessment, security vulnerability detection, and other functions for AI assistants through the MCP server. It supports local and remote code sources and automatically generates PDF reports.

A clj-kondo syntax checking service based on the MCP protocol that provides code quality analysis for Clojure/ClojureScript/EDN files

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.

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).

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.

Ummon is a code analysis tool that enhances the understanding of codebases by building a code knowledge graph. It supports multi-language code analysis, an advanced query system, and intelligent recommendation 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.

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.

An MCP language server based on TypeScript, providing code hover information, completion suggestions, and diagnostic functions. It supports TypeScript and plans to expand multi-language support.

A Go code graph analysis tool that provides code understanding capabilities for AI assistants through the MCP protocol, supporting code structure visualization and intelligent queries

GemForge is an enterprise-level tool that connects Google Gemini AI with the MCP ecosystem. It provides functions such as real-time web access, advanced reasoning, code analysis, and multi-file processing. It supports more than 60 file formats and has intelligent model selection and a powerful error handling mechanism.

An enterprise-level MCP server that provides intelligent analysis of GitHub repositories and AI development assistance, including 11 tools, supporting Docker deployment and real-time monitoring.