#code-analysis

AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.

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A Model Context Protocol (MCP) server for analyzing code dependencies

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An intelligent MCP server that provides tools for collecting and documenting code from directories

Code2Flow MCP服务器，用于生成代码调用图并通过MCP协议提供服务

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MCP Server Semgrep is a [Model Context Protocol](https://modelcontextprotocol.io) compliant server that integrates the powerful Semgrep static analysis tool with AI assistants like Anthropic Claude. It enables advanced code analysis, security vulnerability detection, and code quality improvements directly through a conversational interface.

A Cloudflare Worker that serves as an MCP (Model Context Protocol) server for code explanation. It analyzes and explains code with a comprehensive breakdown of structure and functionality.

A Model Context Protocol (MCP) server for analyzing code repositories with special tools for the Nostr protocol and NDK.

The SonarQube MCP (Model Context Protocol) Server is a custom-built AI-powered backend designed to integrate with SonarQube and enable intelligent, context-aware interactions between static code analysis and modern AI agents like GitHub Copilot, VS Code Agents, or any LLM-powered tool.

Analyze and fix any types in TypeScript with an intelligent MCP server – fast, extensible, and React-aware.

Static Code Analysis and Visualization. Convert Code to UML and Flow Diagram and explain by AI.

Dead code detection, security scanning, and code quality analysis for Python, TypeScript, and Go. 98% recall with 3x fewer false positives than Vulture. 5 tools: analyze, security_scan, quality_check, secrets_scan, remediate. AI-powered auto-fix agent.

This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities

Advanced MCP server for code intelligence with multi-repository support, Tree-sitter parsing, DuckDB graph database, and ChromaDB vector search

Browser extension to enable MCP in claude.ai

Open-source Model Context Protocol (MCP) server for Dart & Flutter. Exposes SDK tools and project resources for AI-driven workflows, automation, and remote development

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

Persistent codebase intelligence that gives agents memory across sessions.

MCP Server for Tree-sitter

Code intelligence MCP server that makes AI coding safer. Builds a dependency graph of your entire codebase so Claude, Cursor, or any MCP client knows what breaks before making changes. 60+ tools for impact analysis, health scoring, dead code detection, and architecture enforcement. Built for vibecoders who ship fast and teams who need reliability. Supports Python, TypeScript, JavaScript.

The npm-package-mcp-server allows users to efficiently access and analyze source code from any NPM package. With features like smart file discovery and selective code reading, it streamlines the process for developers. 🐙🌐

Software architecture tooling for the AI age

CodeSherlock is an AI- based code analysis tool that validates unstaged changes and commits directly inside IDEs and AI Agents. It helps developers catch security, quality, and design issues early by combining deep analysis with compliance-aware checks OWASP, CWE, SOC-2 at the moment code is written. CodeSherlock also performs other security vulnerability reviews along with Maintainability, Reliability and Scalability checks. Use CodeSherlock to review and validate code especially generated via AI.

Scaffold is a specialized RAG system that transforms entire codebase into a living knowledge graph, capturing the deep structural relationships between files, classes, and functions. This provides AI agents with the crucial context to accurately understand, maintain, and reason about complex software, moving far beyond simple text retrieval.

Advanced Code Analysis MCP Server with Knowledge Graph and AI Insights - TypeScript implementation with Neo4j backend

This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities

Deterministic MCP server that scores code risk BEFORE execution. Returns ALLOW or BLOCK with full reasoning. Same inputs → same output. Always.

DSM for developers — start, stop, audit, and analyze your entire dev stack with one command. MCP server with 27 tools for Claude Desktop & Claude Code. Supports Windows, WSL, macOS, Linux, and Docker. Built in Rust.

An MCP server that makes Flutter/Dart codebases instantly understandable to AI agents. Instead of spending 60,000+ tokens exploring a project every session, the agent queries pre-analyzed context through 6 tools — reducing orientation costs by 90%. Built on the flutter_project_structure Dart package (pub.dev). Supports real-time file watching with --watch mode.

Save tokens while coding — your AI agent gets structured code context, not file dumps. CodeWeave is an MCP server that gives AI agents structured code intelligence instead of dumping entire files into context. Your agent queries local indexes — AST, call graph, type graph, and hybrid semantic search — and gets back only what it needs. The result: less token waste, more relevant context, better coding decisions. It supports 7 languages (Python, TypeScript, JavaScript, Go, Rust, Java, C#) with a 6-stage hybrid search pipeline combining vector embeddings, full-text search, and structural density scoring. Everything runs locally with zero external dependencies beyond Ollama for embeddings. Monorepo and git worktree support included. A file watcher keeps indexes current as code changes — no manual reindexing needed. ATTENTION: Run "npx @codeweave/mcp" in your project directory first. The setup wizard handles everything for you. At first, it may take some time. INFO: Exhaustively tested on large Java, C#, JavaScript, TypeScript, React codebases. Contributions and feedback are welcome.