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Automatically validate and fix code against enterprise governance rules.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Quality Clouds MCP Server" yet — see the docs or source repo.
Use the Quality Clouds MCP Server to check whether this Salesforce code complies with enterprise governance rules and provide directly applicable fixes.
Returns compliance check results, detected issues, and code fixes or a corrected version.
Analyze this ServiceNow code through the Quality Clouds MCP Server, automatically fix parts that violate governance rules, and explain each change.
Outputs corrected code with explanations of each rule violation and the reason for every fix.
After code generation, call the Quality Clouds MCP Server to validate it, list items that break enterprise rules, and prioritize fixes for high-risk issues.
Provides an issue list organized by risk or rule, plus a recommended fix order and resulting changes.
Before submitting Salesforce or ServiceNow-related code, developers can use this tool to automatically validate it against enterprise governance rules and receive fix suggestions. This helps reduce manual review effort and improve compliance.
After an AI coding assistant generates code, this MCP server can further check whether it violates enterprise rules and automatically fix some issues. It fits enterprise development workflows that use generative coding.
For teams using Salesforce and ServiceNow, this tool helps enforce governance standards consistently across different coding tasks. This makes it easier to maintain uniform code quality requirements.
This is an MCP tool that lets AI coding assistants automatically validate and fix code through LivecheckAI so it aligns with enterprise governance rules. It is known to support platforms such as Salesforce and ServiceNow.
The provided information explicitly mentions Salesforce and ServiceNow. For a complete platform list, see the source repository.
The current material does not provide installation steps, runtime requirements, or API key details. Please see the source repository for exact prerequisites.
Review code for security, quality, and performance issues with actionable suggestions.
Run code quality and compliance checks for AI coding assistants.
Analyze local code quality, review diffs, and score whole projects.
Provides queryable team coding standards and best practices for AI-assisted development.
Validate AI-generated code against real codebases before bugs reach runtime.
Verify AI-generated code for quality, security, and performance with more trust.