Ai Quality Gate MCP Server

Name: Ai Quality Gate MCP Server
Author: mustafacagri

@mustafacagri

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

mustafacagri

提交者

Cagri Guven

关于 Ai Quality Gate MCP Server

🚀 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, ba

#automation #opensource #typescript #ai #mcp #devtools #coding #cursor#codequality#mcp-server

Ai Quality Gate MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ai-quality-gate": {
      "command": "npx",
      "args": [
        "-y",
        "ai-quality-gate"
      ]
    },
    "ai-quality-gate-custom-root": {
      "command": "npx",
      "args": [
        "-y",
        "ai-quality-gate"
      ],
      "env": {
        "PROJECT_ROOT": "/path/to/your/project"
      }
    },
    "ai-quality-gate-sonar": {
      "command": "npx",
      "args": [
        "-y",
        "ai-quality-gate"
      ],
      "env": {
        "PROJECT_ROOT": "/path/to/your/project",
        "SONAR_HOST_URL": "http://localhost:9000",
        "SONAR_TOKEN": "your_sonar_token",
        "SONAR_PROJECT_KEY": "your_project_key"
      }
    },
    "ai-quality-gate-global": {
      "command": "ai-quality-gate",
      "args": []
    }
  }
}

Ai Quality Gate MCP Server 工具

Run quality checks on code files and auto-fix deterministic issues. Phase 1 (Local, ~2-3s): TypeScript + ESLint + SonarJS (~60 rules) + AST fixers Phase 2 (Server, optional): Deep SonarQube analysis (only if configured) 🎯 Phase 1 is comprehensive - most users won't need Phase 2! Auto-fixes (ESLint + AST): - Curly braces on single-statement if (AST) - Single-expression arrow bodies where safe (AST) Code Quality Limits: - File: max 400 lines - Function: max 50 lines, max 5 params, max 4 depth, max 20 statements - Complexity: Cognitive max 15, Cyclomatic max 10 - Security: no-eval, no-new-func, no-implied-eval - Best Practices: eqeqeq, no-throw-literal, prefer-promise-reject-errors

概览

What is Ai Quality Gate?

Ai Quality Gate is an MCP (Model Context Protocol) server that provides a quality_fix tool for AI-driven code quality automation. It runs a fast Phase 1 (ESLint with 627 bundled rules plus Prettier) and optionally a Phase 2 (SonarQube) to fix issues and report remaining problems. It is designed for MCP-capable editors like Cursor.

How to use Ai Quality Gate?

Install via npx -y ai-quality-gate or globally via npm i -g ai-quality-gate. Configure the server in your editor’s MCP settings (e.g., Cursor’s mcp.json). Add an AI rule that instructs the agent to call the quality_fix tool after every code change. Use the CLI flag --setup to interactively create a .quality-gate.yaml config file.

Key features of Ai Quality Gate

Hybrid quality gate: fast ESLint/Prettier phase always runs; optional SonarQube phase.
Bundles 627 static analysis rules from SonarJS, Unicorn, TypeScript-ESLint, and more.
Auto-fixes ~100+ ESLint issues including unused imports and var-to-const/let.
Customizable via YAML/JSON config files and environment variables.
Supports custom regex-based rules for project-specific checks.
Validates i18n locale JSON files for key consistency.

Use cases of Ai Quality Gate

Ensure AI-generated code meets project quality standards before reporting completion.
Automate code review in CI/CD pipelines with optional SonarQube integration.
Enforce consistent coding style and best practices across a team repository.
Quickly fix common issues like unused

开发工具分类下的更多 MCP 服务器

9apes

The 9apes MCP server lets an AI assistant read the GitHub Actions data 9apes already collects for your organization: runs, jobs, steps, and their durations. Ask it why a build got slower, which jobs take the longest, or

LastPing

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci

Yocoolab

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

Mcp-Warden

ermoluk

Local-first credential broker for MCP. AI coding agents (Claude Code, Cursor, Codex…) call APIs, SSH and databases through scoped presets; secrets stay in your OS keychain and never enter the agent's context.