#code-analysis

Gives AI coding assistants deterministic infrastructure awareness. Statically analyzes your codebase, AWS services, and database schemas — exposes DynamoDB tables, indexes, query patterns, and service relationships via MCP so Claude Code knows your actual infrastructure instead of guessing.

MCP gateway for AI code editors with 10 built-in tools: project context, code reading, code search, package check, package audit, architecture analysis, developer knowledge base, task scoping, security header auditing, and structured reasoning.

MCP server that detects semantic (non-textual) merge conflicts between Git branches using AST-level analysis. Catches incompatible changes that Git merges cleanly but break at runtime — like signature changes, removed exports, interface breaks, and cross-file dependency conflicts.

Gives any AI coding agent persistent codebase understanding. 5 tools: analyze impact (FREE), generate tests and code (PRO, 40x fewer tokens). Works with Cursor, Claude Code, VS Code, Windsurf, Cline, JetBrains.

Code-intelligence MCP server built in Rust. Pre-computes a knowledge graph (tree-sitter + SQLite + PageRank + blast radius + git co-change + cyclomatic complexity) and serves it to any AI agent. Replaces grep/read/find with 21 structural tools. Saves 91.5% tokens, 7.9/10 LLM-judge quality vs 5.3/10 without. Supports Claude Code, Cursor, Windsurf, Zed, Continue.dev, OpenCode, Codex CLI. Local-first, no cloud, no embeddings. `make deploy` and done. Note: config assumes `qartez-mcp` is already installed via `make deploy` (which puts it in `~/.local/bin/`). If the form requires a full path variant:

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.

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.

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.

AI-powered code analysis and context optimization tools. Slim large code files to relevant sections (save 60-80% tokens), compress text, analyze conversations for noise, and search past chat knowledge bases. Supports x402 micropayments on Base.

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.

MCP server bridging AI assistants to OpenAI Codex CLI for code analysis and review

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.

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

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase. Pre-built index committed to git, instant queries via MCP

MCP server that gives AI agents structured, ground-truth GitHub intelligence. Analyze any repo's tech stack, dependencies, architecture, health metrics, and security indicators — deterministic JSON output, no hallucinations.

Security scanner MCP server that protects AI coding agents from generating vulnerable code. Uses tree-sitter AST analysis to detect OWASP Top 10 vulnerabilities, hardcoded secrets, and prompt injection attacks. Includes package hallucination detection across 4.3M packages (npm, PyPI, RubyGems, crates.io, pub.dev, CPAN, Raku). Works with Claude Desktop, Claude Code, Cursor, Cline, and any MCP-compatible client. Full feature list (for detailed descriptions): • 275+ security rules covering Python, JavaScript, TypeScript, Java, Go, Ruby, PHP, C/C++, Rust, C#, Terraform, Kubernetes • AST-based detection with tree-sitter (falls back to regex when unavailable) • Taint analysis for tracking user input to dangerous sinks • Package hallucination detection: verifies 4.3M+ packages across 7 ecosystems • Prompt injection detection: blocks exfiltration, jailbreaks, and malicious instructions • Automatic fix suggestions for common vulnerabilities • Zero config: works instantly with npx • CWE/OWASP metadata for compliance reporting

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.

Persistent codebase intelligence that gives agents memory across sessions.

🎯 Overview CodeGraph is a powerful CLI tool that combines MCP (Model Context Protocol) server management with sophisticated code analysis capabilities. It provides a unified interface for indexing projects, managing embeddings, and running MCP servers with multiple transport options. All you now need is an Agent(s) to create your very own deep code and project knowledge synthehizer system! Key Capabilities 🔍 Advanced Code Analysis: Parse and analyze code across multiple languages using Tree-sitter 🚄 Dual Transport Support: Run MCP servers with STDIO, HTTP, or both simultaneously 🎯 Vector Search: Semantic code search using FAISS-powered vector embeddings 📊 Graph-Based Architecture: Navigate code relationships with RocksDB-backed graph storage ⚡ High Performance: Optimized for large codebases with parallel processing and batched embeddings 🔧 Flexible Configuration: Extensive configuration options for embedding models and performance tuning RAW PERFORMANCE ✨✨✨ 170K lines of rust code in 0.49sec! 21024 embeddings in 3:24mins! On M3 Pro 32GB Qdrant/all-MiniLM-L6-v2-onnx on CPU no Metal acceleration used! Parsing completed: 353/353 files, 169397 lines in 0.49s (714.5 files/s, 342852 lines/s) [00:03:24] [########################################] 21024/21024 Embeddings complete ✨ Features Core Features Project Indexing Multi-language support (Rust, Python, JavaScript, TypeScript, Go, Java, C++) Incremental indexing with file watching Parallel processing with configurable workers Smart caching for improved performance MCP Server Management STDIO transport for direct communication HTTP streaming with SSE support Dual transport mode for maximum flexibility Background daemon mode with PID management Code Search Semantic search using embeddings Exact match and fuzzy search Regex and AST-based queries Configurable similarity thresholds Architecture Analysis Component relationship mapping Dependency analysis Code pattern detection Architecture visualization support

Educational Python refactoring assistant with guided suggestions for AI assistants

Educational Python refactoring assistant with guided suggestions for AI assistants

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

⚡ Surgical Code Editing: Superhuman Precision The combination of `read_symbol` + `insert_text` unlocks revolutionary code editing capabilities that transform how AI agents work with codebases. 🚀 Superpowers Unlocked 🔍 Cross-Codebase Intelligence Find any symbol across entire repositories instantly ✂️ Precision Surgery Edit exact functions, classes, or code blocks 🎛️ Zero-Error Refactoring Update function signatures everywhere they exist

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.

This MCP server provides AI agents with powerful code cleanup capabilities through knip.dev integration. It's designed to work seamlessly with Cursor AI and other MCP-compatible tools to maintain clean, efficient codebases.

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

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

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. 🐙🌐

📚✨ A powerful MCP (Model Context Protocol) server that brings Readium's documentation analysis capabilities to LLMs like Claude and other MCP-compatible clients. 🤖🔍 Seamlessly analyze local directories, public/private Git repositories, and URLs with support for multiple file formats (code, Markdown, text). Readium-MCP delivers structured results with summary, file tree, and content organization—making it the perfect tool when you need an AI to comprehend large documentation bodies, code repositories, or technical websites. 🧠💻 Easy to integrate with VSCode, Claude Desktop, or any MCP client for enhanced AI-powered documentation analysis!

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

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

Software architecture tooling for the AI age

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.

Browser extension to enable MCP in claude.ai

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

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

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

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.

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

MCP Server for Tree-sitter

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

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.

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

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