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Verify AI-generated code for quality, security, and performance with more trust.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-verify-mcp" yet — see the docs or source repo.
Use code-verify-mcp to review this AI-generated Python Flask API code. Focus on code quality, security vulnerabilities, and performance bottlenecks, and list issues with severity levels and fixes.
A code review report with quality scores, risk findings, performance issues, and recommended fixes.
Use code-verify-mcp to perform a security review of this Node.js code before release. Identify common vulnerabilities, risky dependency usage, and insecure configurations, then provide actionable fixes.
A security-focused review report including vulnerability details, impact scope, and remediation steps.
Use code-verify-mcp to analyze this AI-generated data processing code. Find loops, queries, or memory usage patterns that may hurt performance, and suggest optimizations.
A performance analysis highlighting inefficient implementations and practical optimization recommendations.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Validate AI outputs against contracts and auto-repair noncompliant results.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Verify LLM outputs in real time before they reach your workflow.
Run dev checks and get compact error summaries for faster debugging.
Extract, verify, cache, and search factual claims from text.