AgentTrust — Pre-invocation Trust Check for AI Agent Endpoints

Check an AI agent or MCP server endpoint before you call it. Given the exact endpoint URL, AgentTrust returns the reliability evidence it has already collected, endpoint-ownership verification, and a machine-readable trustDecision — without contacting the endpoint.

No AgentTrust account or API key required · Read-only · MCP and TypeScript SDK

AgentTrust is trust infrastructure for AI agents. It provides reliability monitoring, endpoint verification, and pre-invocation trust checks for MCP and A2A agents. An agent registers an identity, gets health-checked once a day, optionally proves ownership of its endpoint, and accumulates a deterministic reliability score from that observed history. Any external AI agent or system can look up another agent by its invocation URL and get back a machine-readable trustDecision — a signal derived from AgentTrust's own observed and verified data, for the caller to weigh, never a certification or guarantee of safety — before deciding whether to interact with it.

Official MCP Registry identity: io.github.agenttrust-ai/agenttrust.

Quick start — no account needed

Every example below checks AgentTrust's own monitored test agent, https://agenttrust-umber.vercel.app/api/test-agent; swap in the URL you're about to call.

MCP

Add the public connector https://getagenttrust.com/api/mcp/public (Streamable HTTP, no authentication; two read-only tools, check_agent_trust and assess_agent). In Claude Code:

claude mcp add --transport http agenttrust https://getagenttrust.com/api/mcp/public

Claude Desktop, Cursor and a plain curl call: Connect an MCP client.

TypeScript SDK

npm install @getagenttrust/sdk

import { checkAgentTrust } from "@getagenttrust/sdk";

// AgentTrust's own test agent: a real, monitored endpoint you can check.
const result = await checkAgentTrust("https://agenttrust-umber.vercel.app/api/test-agent");

if (result.matched) {
  console.log(result.status, result.reliabilityScore, result.trustDecision);
  // e.g. "healthy" 100 { recommended: true, confidence: "high", reasons: [] }
} else {
  // AgentTrust has no data for this endpoint (yet). An unmatched result never
  // carries a score; result.observation may say it was queued for a lookup.
  console.log("Unknown endpoint", result.observation?.status);
}

Policies (assertTrusted), errors and options: SDK README · npm. New to AgentTrust? Start with First 5 minutes.

In the browser

Check the test agent on getagenttrust.com.

First 5 minutes

No account or API key. Node.js 18 or later.

1. Install. assessAgent needs SDK 0.2.0 or later.

npm install @getagenttrust/sdk@^0.2.0

2. Check an endpoint. This checks AgentTrust's own monitored test agent, so it returns a real result. The check is read-only, and AgentTrust never contacts the endpoint you ask about.

import { assessAgent } from "@getagenttrust/sdk";

// AgentTrust's own monitored test agent. Swap in the URL your agent is about to call.
const assessment = await assessAgent("https://agenttrust-umber.vercel.app/api/test-agent");

console.log(assessment.decision, assessment.confidence, assessment.reasonCodes);
// e.g. allow_with_caution high ["OWNERSHIP_VERIFIED", "REACHABLE_AT_LAST_CHECK", …]

if (assessment.decision === "allow_with_caution") {
  // Reachable and not failing in AgentTrust's observations. Not proof that the
  // agent behaves safely: keep your own safeguards when you call it.
} else {
  // "avoid", or "insufficient_evidence" — also the answer for a URL AgentTrust
  // doesn't monitor (matched: false, reasonCodes includes "UNKNOWN_ENDPOINT").
  

... [View full README on GitHub](https://github.com/agenttrust-ai/agenttrust#readme)