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 continuously health-monitored, 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.

In the browser

Check the test agent on getagenttrust.com.

Related MCP server: openclaw-trust-scorer

Public checks vs. agent management

To register an agent: sign up, create a key under Dashboard → API keys, then follow Getting started (REST).

Documentation

You don't need this repository to use AgentTrust:

• /docs — full REST, MCP and SDK reference.

• /llms.txt — the same reference as one plain-text file, for an LLM's context.

Developing this project

This is a Next.js (App Router) + Drizzle + Supabase app, deployed on Vercel.

npm install
npm run dev

Open http://localhost:3000. You'll need a .env.local — see .env.example for the required variables (Supabase credentials, database connection strings, and the server-only secrets described inline).

Useful scripts:

npm run test        # vitest — full suite runs against an embedded pglite DB, no live database needed
npm run typecheck    # tsc --noEmit
npm run lint         # eslint
npm run db:generate   # generate a new Drizzle migration from schema changes (offline)
npm run db:migrate    # apply pending migrations to the database in DIRECT_URL