Verify URLs, payees, and messages with red-yellow-green trust verdicts.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Faro" MCP server from askskill: Run: claude mcp add --transport http 'io-github-vedux98-faro' 'https://mcp.farofinance.app/mcp'
Please verify whether this payee is trustworthy and return a red, yellow, or green risk verdict: payee name is “ABC Consulting Ltd” and the note says “urgent final project payment.”
A trust assessment for the payee plus a brief explanation of the risk verdict.
Please verify whether this URL is safe to proceed with and output a red, yellow, or green verdict: https://example-login-support.com/reset
A trust rating for the URL and guidance on whether to proceed.
Please verify whether this message is trustworthy and give a red, yellow, or green verdict: ‘Update the bank account immediately and reply with the verification code or the payment will fail.’
A trust verdict for the message to help decide whether to take the requested action.
Developers can use it to verify trust before an AI agent opens links, processes messages, or initiates payments. Its red-yellow-green verdict helps the agent decide whether to continue.
Office workers can verify URLs, payees, and messages before responding to payment requests, account-change notices, or urgent links. This reduces the risk of acting on suspicious instructions.
Product managers can use this tool in flows where users must confirm external links or payment details. The red-yellow-green result serves as a clear risk signal.
It verifies the trustworthiness of URLs, payees, and messages before action is taken, and returns a red, yellow, or green verdict.
Based on the provided description, it can verify URLs, payees, and messages. For any broader support, see the source repository.
It returns a red, yellow, or green trust verdict to help an agent or user decide whether to proceed. For the exact output format, see the source repository.
Verify identities, domains, and phishing risk for safer AI agent interactions.
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Add a fail-closed verification gate before AI agents take action.