mcp-server-qualityclouds
Secure MCP runtime server for scanning and autofixing code issues
可用工具 （5 个）
该服务在 MCP 协议中暴露的工具，AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数：query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数：urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数：url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数：url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数：input
服务介绍
Quality Clouds Integration
This is the official Model Context Protocol (MCP) server for Quality Clouds — the governance layer for human and AI-generated code.
This server bridges the gap between probabilistic AI generation and deterministic enterprise governance. It enables AI coding assistants (like Claude Desktop, Cursor, or IDE agents) to interface directly with the Quality Clouds platform to retrieve policy context, validate logic in real-time, and query technical debt profiles.
✅ Designed for developers, architects, and DevOps teams who care about scalable, maintainable enterprise cloud code.
The Core Concept: You don't ask for a code check. You ask for code, and the AI automatically validates and fixes it against your ruleset before displaying the final result.
# 🚀 Overview
AI coding assistants often generate code that looks correct but contains hidden security risks or performance violations (e.g., SOQL injection in Salesforce, inefficiency in ServiceNow loops).
This MCP server solves that by introducing a "Self-Correction Loop":
- Generate: Your AI drafts the initial code.
- Validate (Invisible): It privately runs the code through LivecheckAI.
- Correct: If issues are found, the AI fixes them immediately.
- Deliver: You receive the final, clean, and compliant code.
# 🔧 Capabilities
Performs a real-time scan of a code snippet.
- What it does: Returns a list of severity-rated issues and remediation advice.
- How it works: The AI calls this tool internally during its thought process to "spellcheck" its own logic.
# 🌐 Supported Platforms
LivecheckAI supports real-time validation for:
- ServiceNow (Server-side scripts, Client scripts)
- Salesforce (Apex, LWC, Visualforce)
- Microsoft Dynamics 365 (C# Plugins, TypeScript)
- Javascript / React (General web standards)
# 📦 Installation & Configuration
# # 1. Get your Free account in Quality clouds to authentificate
- 👉 Sign Up for Free
- Once you setup your credentials, you will be able to authentificate in Visual Studio Code, and start using it.
- More information in this Article
# 📘 Documentation
# 🧑💻 Contributing
We welcome contributions! Here's how to get started:
- Fork the repo
- Create a feature branch:
git checkout -b feat/my-feature - Commit changes:
git commit -am 'Add feature' - Push and create a pull request
Check out CONTRIBUTING.md and CODE_OF_CONDUCT.md for more info.
# 💬 Community & Support
- 💬 Slack Community
- 🐛 Open an Issue
- 📬 Email us at support@qualityclouds.com
# 🛡 License
This project is licensed. Free credits available.
# ✨ About Quality Clouds
“We help enterprises scale safely in the cloud by making code quality visible, measurable, and actionable.”
Learn more at www.qualityclouds.ai
