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Verify identities, domains, and phishing risk for safer AI agent interactions.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "BLOCKTRUST TrustScan" MCP server from askskill: Run: claude mcp add --transport http 'io-github-brnbtech770-blocktrust-trustscan' 'https://blocktrust.tech/mcp/sse'
Use BLOCKTRUST TrustScan to check whether this domain is trustworthy, focusing on identity, domain information, and phishing risk: example-login.com
A trust assessment for the domain, with a summary of identity and phishing-related verification results.
Use BLOCKTRUST TrustScan to verify whether this contact is trustworthy and explain whether they can be added to the Trust Circle: contact details are as follows...
Trust verification results for the contact, including whether they appear suitable for the Trust Circle.
Before an AI agent contacts an external party, use BLOCKTRUST TrustScan to verify the target identity, domain, and possible phishing risk, then recommend whether to proceed.
A pre-action safety assessment that helps the agent decide whether to continue.
Developers or researchers can verify identities, domains, and phishing risk before an AI agent interacts with external targets, reducing security issues caused by misplaced trust.
When a team needs to judge whether a website or link is trustworthy, this tool can help check domain trust and phishing-related risk for faster screening.
When managing contacts or building a Trust Circle, users can run trust verification first to distinguish more trusted entities from suspicious ones.
It is an MCP tool for trust verification in AI agents, covering identities, domains, phishing, contacts, Trust Circle, and Vault-related checks.
It suits workflows where trust needs to be assessed before an AI agent acts, such as verifying external identities, domains, or suspicious contacts.
The provided materials do not include installation steps, API keys, or runtime prerequisites. See the source repository for details.
Scan prompt injection and safely fetch webpages for AI agents.
Scan websites or MCP servers and get a signed trust-readiness scorecard.
Get evidence-based trust verdicts for AI agent services before transacting.
Verify agent identity, prove actions, and bind verifiable agreements.
Provide identity, trust management, and A2A orchestration for autonomous AI agents.
Verify AI agents and MCP servers, then issue verifiable competency credentials.