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AgentTrust — Pre-Invocation AI Agent Trust & Reliability Checks

作者:agenttrust-ai版本 1.0.4i★ –i在云端运行
注册名称io.github.agenttrust-ai/agenttrust

安装

概览

作者提供的说明(英文原文)

Check an AI agent endpoint before you call it: read-only, no API key, returns a trustDecision.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://getagenttrust.com/api/mcp/public

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "agenttrust": {
      "url": "https://getagenttrust.com/api/mcp/public"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "agenttrust": {
      "type": "http",
      "url": "https://getagenttrust.com/api/mcp/public"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://getagenttrust.com/api/mcp/public

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 agenttrust-ai 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32599 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32599 个服务器的 53% 更新
  • 基础检查结果等于或优于此分类中其他 32599 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

AgentTrust — Pre-Invocation AI Agent Trust & Reliability Checks 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.4)于35天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Zendesk

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Zendesk

作者:pipeworx-io

Zendesk MCP Pack — tickets, users, organizations via OAuth.

电脑或云端今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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"). console.log("Not calling it:", assessment.limitations); }

3. Read the answer. confidence, reasonCodes and limitations say why.

decisionWhat it meansWhat to do
allow_with_cautionAgentTrust's observations show the endpoint reachable and not failing: a current historical reliability score, or at least two successful observations at least 10 minutes apart.Call it, with your own safeguards. It isn't proof that the agent behaves safely.
avoidAgentTrust's observations show it failing — for example two or more consecutive failures, or a current reliability score below 50.Don't call it.
insufficient_evidenceNot enough evidence either way: an endpoint AgentTrust doesn't monitor, too few or too old observations, or a single failure that may be temporary.Don't treat it as approval — handle it as an unknown endpoint.
Which call should I use?
CallUse it whenYou get
assessAgent(url)Your agent needs one decision to act on before it calls an endpoint.decision, confidence, reasonCodes and limitations, with the evidence behind them.
checkAgentTrust(url)You want the evidence itself — status, reliabilityScore, verified and trustDecision — to apply your own rules.{ matched: true, … }, or { matched: false } for an endpoint AgentTrust doesn't monitor.
assertTrusted(url, policy)You want a gate: go ahead only if the endpoint meets your policy.The checkAgentTrust result, or a thrown NotTrustedError.

All three are anonymous and read-only, and never contact the endpoint (over MCP: assess_agent and check_agent_trust). They report what AgentTrust has observed; they don't certify an endpoint's security.

Unknown endpoints are an answer, not an error

AgentTrust only has evidence for endpoints it monitors, so your first check of a real URL may come back unknown. That is an answer, not an API failure — the call succeeds:

  • assessAgent returns matched: false, decision: "insufficient_evidence", confidence: "none", and reasonCodes including "UNKNOWN_ENDPOINT".
  • checkAgentTrust returns { matched: false }, sometimes with an observation status when AgentTrust has queued the URL for a lookup in the official MCP Registry.
  • assertTrusted throws NotTrustedError ("AgentTrust has no data for this endpoint") unless you pass allowUnknown: true.

Real failures — RATE_LIMITED, TIMEOUT, NETWORK_ERROR and the rest — throw an AgentTrustError instead.

Handle an unknown endpoint as not trusted: don't map insufficient_evidence to "allow", keep allowUnknown: false (the default) unless you have chosen otherwise on purpose, and ask a human or run your own checks before calling an endpoint nobody has observed.

Next steps
  • Gate a real connection: examples/check-before-connect.ts puts assertTrusted in front of an MCP client connection.
  • Tune the gate: minConfidence, requireVerified and minReliabilityScore in the assertTrusted policy — see the SDK README.
  • Running an agent yourself? Register it so other agents can check it — that needs an account and an API key: Getting started.

Public checks vs. agent management

Public trust checksAgent management
ForChecking any endpoint before you call itRegistering and monitoring your own agents; full agent records
Account / API keyNot neededAccount and API key (Authorization: Bearer )
InterfacesMCP check_agent_trust and assess_agent at /api/mcp/public; @getagenttrust/sdk (checkAgentTrust, assertTrusted, assessAgent)REST /api/v1/*; MCP server /api/mcp (list_agents, get_agent, get_agent_health, send_heartbeat)

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](https://getagenttrust.com/docs) — full REST, MCP and SDK reference.
  • [/llms.txt](https://getagenttrust.com/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

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