MCP Server for AI code quality automation

MCP server + Agent Skill for Cursor and Codex: skill checks, dependency analysis, SonarQube bug detection, code quality ratings

🚀 Kill the Junior AI Era. 🤖 Level up your AI code to Principal standards. No more sloppy lines or junior mistakes. Automated ESLint ✨ TypeScript 🔧 Prettier 🎨 SonarQube 🛡️ Security 🔒 Complexity 📊 in seconds. High-stakes quality, forced to ship only the best. ⚡🏆 Goodbye, bad code. Hello, Principal Engineer. 🚀✨

MCP Server for Open Code Review - AI code quality gate for Claude Desktop, Cursor, Windsurf, VS Code Copilot

Real-time code quality gates & dependency graph for AI-assisted development. MCP server for Claude Code, GitHub Copilot, and any MCP-compatible agent.

Kotlin/Android code quality inspector — MCP server for Detekt, Ktlint & Android Lint

Governance harness for Claude Code & Codex CLI — 57 MCP tools, 45 quality-gate hooks, 64 enterprise skills, HMAC-signed evidence, 2FA infrastructure locks. Vibe prompt in, enterprise quality out.

Deterministic UI policy, discovery and quality gates for coding agents.

45 specialized judges that evaluate AI-generated code for security, cost, and quality.

The code quality toolkit for the agentic AI era. Find dead code, clones, and scaffolding across 15 languages. MCP server + CLI.

45 specialized judges that evaluate AI-generated code for security, cost, and quality.

🤖 AI code quality gate for AI-generated code. Detects hallucinated packages, phantom dependencies, stale APIs, and more. MCP Server + CLI + CI/CD Action.

Official SonarQube MCP Server for code quality and security in AI agents

Your AI agent writes code — but does it know WHY your code exists? Decision provenance, quality contracts, and AI anti-pattern detection for coding agents.

MCP quality gate for AI coding agents to prevent sloppy apps, websites, SaaS projects, and unsafe AI-generated code.

🔍 Enhance code quality with Argus MCP, an AI-driven code review server using a Zero-Trust model for safe and efficient development.

Codingbuddy orchestrates 29 specialized AI agents to deliver code quality comparable to a team of human experts through a PLAN → ACT → EVAL workflow.

Your AI agent writes code — but does it know WHY your code exists? Decision provenance, quality contracts, and AI anti-pattern detection for coding agents. 19 languages. MCP compatible.

Read-only MCP server + Claude Code plugin for investigating data quality issues: metric drops, duplicates, joins, freshness, dbt test failures.

A 22-tool MCP server and CI-ready CLI that cuts cloud LLM token usage on code quality tasks. Deterministic tools handle what they can. A local LLM (via DSPy) handles the rest. Cloud models plan and review. Nothing else.

Quality engineering for AI coding agents: a method with steps and human gates, measured by deterministic engines. Runs locally and sends no source code.

Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

Local AgentOps for AI coding agents: durable memory, guardrails, and quality gates for vibe coding in real repositories.

SHIP MCP Server - continuous AI code reliability scoring + repo quality reports for Claude and Cursor

Professional AI-driven code documentation & quality audit agent. Scans projects, identifies bugs, and persists reports locally via MCP.

Generate academic quality flowcharts from text or code through this local MCP server that renders SVG graphs using Graphviz.

The agentic harness for AI coding agents — machine-verified ships, guarded edits, and fast project lookup with measured retrieval quality.

MCP server that lets Claude generate academic-quality flowcharts from natural language or code

A powerful, open-source Model Context Protocol (MCP) server for automated, multi-language code feedback, validation, and project analysis. Designed for developers, teams, and LLM-powered workflows to ensure code quality, correctness, and maintainability across diverse languages and build systems.

AI coding agent orchestrator — resolve GitHub issues end-to-end with isolated git worktrees, quality gates, and an MCP server. Works with Claude Code or Aider.

Multi-lens code review MCP server for Claude Code. 8 specialized reviewers run in parallel and return structured verdicts (security, performance, test quality, clean code, and more).

An **MCP server** for the Gemini CLI that analyzes a local code repository (and helps generate and maintain a high‑quality `ONBOARDING.md` guide.

Make multiple codebases available as context for any coding agent without spending too many resources or sacrificing quality

Claude Code context manager + memory engine. Primary install is as a Claude Code plugin (see README). Also usable standalone as a zero-dep CLI: token monitoring against a model-aware quality ceiling, tailored /compact prompt + auto-clipboard, JSONL gzip b

AI-powered rule automation system for RooCode. Automates rule generation, enforcement, and code enhancement by connecting RooCode with an AI-driven MCP that analyzes context, applies structured rules, and improves code quality intelligently.

Design memory and UI quality tools for coding agents: Codex, Claude Code, Cursor, OpenCode, Hermes, OpenClaw, MCP, Figma, shadcn/ui, and Tailwind.

A robust, production-ready Model Context Protocol (MCP) server that empowers AI agents with deep understanding and manipulation capabilities for software repositories. It inclued crucial tools for code quality and safety.

GitHub repository scanner for AI agents u2014 analyze structure, code quality, contributors, dependencies, and detect secrets.

Production-grade diagnostics, performance optimization, security auditing, and dead-code detection for Vue.js and Nuxt applications. Features automated codemods, CI quality gates, and AI agent integration (MCP).

AI coding agent orchestrator that proves its work — GitHub issues to merge-ready PRs with every acceptance criterion verified, isolated git worktrees, quality gates, an MCP server, and a human merge gate. Works with Claude Code or Aider.

MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI assistants to analyze your code and suggest improvements.

Comprehensive MCP (Model Context Protocol) server for code analysis and web scraping. Supports code quality analysis, linting, dependency analysis, static/dynamic web scraping, and API discovery.

Roslyn-based MCP server giving AI agents deep semantic understanding of .NET/C# codebases — 67 tools for navigation, call graphs, diagnostics & code fixes, safe refactoring, code-quality auditing, test intelligence, DI graphs, and IL/external-assembly inspection.

Claude Code plugin: the Opus supervisor plans, specifies and reviews; cheap workers (DeepSeek & co. via 9Router) write the code in isolated git worktrees. Server-side verification, a review gate, and merge-back as one squash commit. Fewer tokens, same quality.

Routes each task to the cheapest Claude model that still clears the quality bar — a Claude Code skill + MCP server that optimizes total cost to an acceptable answer, not sticker price.

Code-intelligence and evidence engine for coding agents: indexes symbols, call edges and config references, serves them over MCP and harness hooks, and proves plan claims with a verify gate. Extraction quality is measured against independent oracles. Local, pure Go.

Curated, measurement-driven collection of token-saving MCPs for Claude Code, Codex, Cursor & Windsurf. Each MCP shipped here has passed Humanswith.ai's deterministic-compressor benchmark with documented byte-saving + quality-preservation measurements.

Multi-Agent AI Code Auditor is a Python-based code review system that uses AST parsing, Bandit, Radon, and LLM-based agents to analyze code for security, quality, and complexity. The findings are summarized into a final report, saved as JSON, and benchmarked across multiple Python programs.

Local-first MCP server in Go that analyzes Next.js App Router + Tailwind + shadcn/ui repositories and produces structured specs, critiques, and quality gates for AI coding agents like OpenCode and Codex.

Persistent memory for Claude Code. MCP server that captures decisions, context, and preferences during sessions and injects them back automatically. Local-first SQLite, quality-gated, multi-machine sync. Your AI starts every session fully informed.

A production-quality, read-only Model Context Protocol (MCP) server built in .NET 10 that connects AI coding assistants (such as Claude Code, Codex CLI, or any MCP-compliant client) to Jira Data Center / Server or Jira Cloud instances

Create reusable prompt templates, multi-step workflow chains, and quality gates. Compose agentic workflows with an operator syntax; export as native skills to Claude Code, Cursor, OpenCode, and Gemini CLI.

The accessibility layer for AI coding agents, WCAG 2.2: static and rendered audits (light AND dark), contrast over images, blindfold usability testing, PDF/DOCX screening, caption quality, prefers-reduced-motion audit, evidence packs a human can sign. Zero deps

MCP server for FirstHandAPI — human-in-the-loop crowdsourced data collection. Claude Code + Cursor integration for collecting photos, video, audio, screen recordings from real humans with AI quality scoring.

Claude Code plugin: a channel-based short-form/long-form social content pipeline — storyboard with adversarial quality gates, video production, HITL-approved publishing, and autonomous growth loops. Built-in MCP server, 46 tools.

MCP server for markdown plan review — companion to the MD Feedback VS Code extension. AI agents read annotations, mark tasks done, evaluate quality gates, and generate session handoffs. 27 tools for Claude Code, Cursor, and other MCP-compatible clients.

تمهيد — ground work for execution: turn a project description into a validated, execution-ready planning & handoff package for Claude Code. Relational package store (SQLite ⇄ canonical JSONL), MCP-only writes, schema-enforced quality gates, HTML review surface. Successor of Keystone.

MCP server for UploadCheck — pre-publish media QC for AI agents. Run 40+ quality gates on a video/audio export from Claude Code, Cursor, or Codex, get timestamped fixes, and gate your publish on a signed PASS/BLOCK receipt.

The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Cut agent token costs by finding code without reading the repo, then keep large codebases off the complexity wall: blast radius, tests to run, quality deltas as you write. Every guess labelled, every loss published. Paddle out with a map.

An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with semantic search capabilities, quality metrics, and relationship modeling. Designed to enhance programming workflows through contextual recall of best practices, algorithms, and solutions.