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Provide fact checks, injection detection, and safety guards for MCP agents
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Verity MCP" yet — see the docs or source repo.
Before sending this support reply, call Verity MCP's detect_injection, moderate_content, and redact_pii in sequence to check for prompt injection, policy violations, or personal sensitive information. If any risk is found, explain why and provide a safe rewritten version ready to send.
A risk assessment stating whether it is safe to send, plus a redacted or policy-compliant rewritten reply.
Before executing this payment, use verify_fact to validate the payee and amount, then use guard_action to determine whether the action should be allowed. If any check fails, block execution and return the failure reasons and items requiring human review.
A decision on whether the payment is allowed, with specific block reasons and review recommendations if stopped.
Run Verity MCP's verify_fact on the following agent-generated conclusion. List verifiable and unverifiable claims, assign confidence levels, and if any high-risk assertion is found, provide a more cautious rewritten version.
A structured report with verification results, confidence labels, and safer rewritten suggestions.
Verify AI-generated code for quality, security, and performance with more trust.
Verify AI agents, check verification status, and browse the leaderboard.
Verify TCPA consent for AI agents to reduce calling and texting compliance risk
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Verify agent identities, check trust scores, and build cross-platform reputation.
Fact-check claims, verify citations, and assess source freshness across trusted databases.