# Code analysis

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

This project is an MCP server that integrates GitLab merge request analysis and Confluence document storage functions, supporting the acquisition of merge request details, analysis of code changes, and generation of reports for storage in Confluence.

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.

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.

Code Reasoning is an MCP server tool specifically designed to enhance Claude's ability to solve complex programming problems. It decomposes programming tasks through a structured, step - by - step thinking method, supporting multi - path exploration and thinking correction.

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.

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

MCP DevOps Hub is a server that provides end-to-end development visualization, integrating tools such as Jira, GitHub, and CI/CD, and supporting team notifications and code analysis.

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 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.

The Corrode MCP Server is a code model context protocol server implemented in Rust, designed specifically for Rust developers. It provides functions such as Crates.io integration, code analysis, file operations, and shell command execution, and supports the standardized connection between LLM applications and external data sources.

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).

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.

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.

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

A code repository analysis server based on the MCP protocol, focusing on the analysis of code structure, dependencies, and change history of Nostr-related projects, providing various code analysis tools and search functions.

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

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.

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.

The MCP File System Server provides functions such as file and directory operations, editing and searching, batch processing, project navigation, and code quality inspection

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

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.

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.

GitHub's MCP server project for handling metadata and code analysis

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.

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.

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

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.