# Code analysis

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.

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.

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

An MCP server that helps AI code editors find symbol definitions in TypeScript projects, which can locate the original definition positions and code snippets of imported symbols.

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.

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.

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

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 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.

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

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.

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.

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.

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.

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 project where the MCP server provides support for the LSP protocol

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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