# 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.

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.

A project where the MCP server provides support for the LSP protocol

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.

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 server based on the cursor-agent CLI, providing tools for code analysis, search, planning, and editing to help Claude Code reduce token usage and costs

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

An MCP server based on Sourcegraph, providing AI-enhanced code search capabilities, supporting advanced queries and content retrieval across code repositories.

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.

A lightning-fast, language-agnostic code analysis MCP server built on Rust, offering instant symbol lookup, reference tracking, and semantic code search. Designed for large codebases with performance as a priority.

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.

EDT MCP Server is an MCP protocol server plugin for 1C:EDT, allowing AI assistants (such as Claude, GitHub Copilot, Cursor, etc.) to interact with the EDT workspace, providing functions such as project information query, error reporting, code analysis, metadata management, application debugging, tagging and grouping, and visual form screenshots.

Instagit is an MCP server that enables AI programming assistants to instantly analyze and understand the source code of any GitHub repository, providing accurate integration, debugging, and code analysis capabilities based on real code rather than guesswork or outdated documentation.

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.

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

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.

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

Extract project summaries and MCP service tags from the code

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 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.

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.

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.

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.

A plugin for collecting and submitting AI assistant usage statistics data

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.

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.

CodeFlow is an intelligent code analysis tool that generates detailed call graphs by parsing the abstract syntax tree of the code and provides semantic search functionality. It includes two interfaces, a CLI tool and an MCP server, aiming to help developers understand complex codebases with minimal cognitive burden.