This server connects Claude to Quality Clouds' LivecheckAI platform for real time code validation and auto fixing. It exposes a scan tool that checks code snippets against enterprise governance rules for platforms like Salesforce Apex, ServiceNow scripts, and Dynamics 365 plugins. The workflow is straightforward: Claude generates code, silently runs it through the validation endpoint, applies fixes for issues like SOQL injection or performance violations, then shows you the corrected version. You need a Quality Clouds account to authenticate. Useful if you're working in enterprise cloud environments where AI generated code needs to pass security and quality gates before it ships.
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.
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":
Performs a real-time scan of a code snippet.
LivecheckAI supports real-time validation for:
We welcome contributions! Here's how to get started:
git checkout -b feat/my-featuregit commit -am 'Add feature'Check out CONTRIBUTING.md and CODE_OF_CONDUCT.md for more info.
This project is licensed. Free credits available.
“We help enterprises scale safely in the cloud by making code quality visible, measurable, and actionable.”
Learn more at www.qualityclouds.ai