# Code analysis

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

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

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.

A plugin for collecting and submitting AI assistant usage statistics data

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

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.

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.

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 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.

A GDPR compliance MCP server that integrates the GDPR knowledge base, compliance workflows, and code analysis tools into the IDE to help developers identify and address data protection requirements in the early stages of development.

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.

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.

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.

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.

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 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 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 project where the MCP server provides support for the LSP protocol

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.

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.

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.