# Code analysis

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.

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

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

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.

Gossiphs is a zero-configuration, high-performance general code file relationship analysis tool that supports multiple programming languages. It is based on tree-sitter and git analysis, provides support for Python SDK and MCP protocol, and is convenient for integration with AI.

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.

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

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.

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.

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.

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.

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.

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.

An MCP server that combines Claude Code and Google Gemini AI to achieve in - depth code analysis through multi - model collaboration. Claude is good at local context operations and CLI workflows, while Gemini uses its ultra - large context window for distributed system debugging and long - trace analysis.

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

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).

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

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 that provides code context for AI assistants by indexing local code into a graph database, supporting code analysis, relationship query, and real - time update functions.

An MCP server that connects GitHub code with Claude.ai, extracting GitHub repository code through the Pera1 service and providing enhanced context.

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.

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.

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.