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Use natural language to run agent evaluations and manage workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "VerifyAX MCP" yet — see the docs or source repo.
Help me create a VerifyAX evaluation task for a customer support agent with accuracy, latency, and safety metrics.
Returns an executable evaluation task configuration or creation result.
Read the latest VerifyAX evaluation results and summarize the main failure modes and improvement suggestions.
Outputs evaluation conclusions, failure-mode summary, and optimization suggestions.
Use VerifyAX to compare the evaluation performance of agent versions v1, v2, and v3, then recommend the best one.
Outputs a version comparison table and a recommendation.
Fact-check claims, verify citations, and assess source freshness across trusted databases.
Verify AI agents, check verification status, and browse the leaderboard.
Test API compatibility for AI agents with scores, grades, and recommendations.
Verify AI-generated code for quality, security, and performance with more trust.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Add a fail-closed verification gate before AI agents take action.