@salesforce/mcp-provider-code-analyzer
Integrates Salesforce Code Analyzer into MCP servers, enabling automated code quality and security scanning within Salesforce ecosystems.
(For Internal Use Only) Provides MCP Tools for Salesforce Code Analyzer to a MCP Server
- Ask Claude to analyze your Apex code for potential bugs and security vulnerabilities.
- Generate a report of code quality issues found across your Salesforce codebase.
- Find performance problems and best practice violations in Lightning components automatically.
Integrates Salesforce Code Analyzer into MCP servers, enabling automated code quality and security scanning within Salesforce ecosystems. Reduces manual review cycles and catches compliance violations before deployment.
Salesforce development teams and enterprise consultants implementing continuous code quality gates on Apex and Lightning components.
https://www.npmjs.com/package/@salesforce/mcp-provider-code-...
By salesforce-releases
How to Get It
npx -y @salesforce/mcp-provider-code-analyzer
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Analyze my Apex code for potential bugs and security vulnerabilities
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 445 GitHub stars; 35 contributors; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 445 GitHub stars; 35 contributors; last commit 0d ago; license Apache-2.0.