Secure MCP runtime server for scanning and autofixing code issues
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"com-qualityclouds-mcp-server-qualityclouds": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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This is the official Model Context Protocol (MCP) server for Quality Clouds — the governance layer for human and AI-generated code.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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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.