原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Argus Console — AI Agent Test Lab

作者:igor-vii版本 0.1.2i★ –i在云端运行
注册名称io.github.igor-vii/argus-console

安装

概览

作者提供的说明(英文原文)

Adversarial testing for AI agents that move money: engine battery, Ed25519-sealed verdict reports.

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。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 开发者工具

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://console.argus-lab.tech/mcp

在终端中运行这条命令

claude mcp add --transport http argus-console https://console.argus-lab.tech/mcp

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": {
    "argus-console": {
      "url": "https://console.argus-lab.tech/mcp"
    }
  }
}

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": {
    "argus-console": {
      "type": "http",
      "url": "https://console.argus-lab.tech/mcp"
    }
  }
}

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://console.argus-lab.tech/mcp

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

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • argus_verify_agent

    Verify ownership of an agent endpoint: checks that the verify token is served at https:// /.well-known/argus-verify.txt. Run this before registering the agent in Argus Console.

  • argus_list_agents

    List the user's registered agents (name, role, endpoint) and their free tier. MOCK simulation is FREE: no payment, nothing to deploy, rolling cap 25 runs / 24h (paid quota untouched). The response includes freeSimulation { used, limit, resetsAt }.

  • argus_run_simulation

    Run a free MOCK battery against a registered agent: the full pipeline (money guard gate + fault probes) as a deterministic simulation seeded by the endpoint. Simulation only — this is a stand demo, no request reaches the agent endpoint. Does not touch paid quota; rolling cap 25 r

  • argus_run_engine

    Run the REAL Argus engine battery (canonical S8 + fault scenarios) against a live agent using paid quota. CLIENT agents only. Agents that do not speak x402 fail the money-guard gate and the run is auto-refunded (net 0). May take minutes — returns the run id to poll via argus_get_

  • argus_get_run_report

    Fetch the report of a finished run: money guard outcome, verdict counts, per-probe verdicts, proven/violations/not-established lists.

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8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 igor-vii 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

  • ✓ 通过

    端点有响应

    在 1272 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 5 个工具描述,未发现针对 AI 的隐藏指令

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4906 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4906 个服务器的 93% 更新
  • 基础检查结果等于或优于此分类中其他 4906 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

Argus Console — AI Agent Test Lab 安全吗?

它在 3 项适用的基础检查中通过了 3 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(0.1.2)于前天进入注册中心。

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:GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
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。

Argus Agent Test Lab — public proof layer

Adversarial testing for AI agents that move money · argus-lab.tech

The lab breaks AI agents that spend, receive and settle money — buyer and merchant agents, and the SDKs, protocols and rails that sign and settle on their behalf — then seals every verdict in a public, hash-chained registry.

This repository is the public proof layer of Argus: the sealed, hash-chained evidence registry, the verification tooling, and the source of argus-lab.tech. It exists so that every public claim the lab makes can be checked by anyone, without trusting anyone:

git clone https://github.com/igor-vii/Argus-Agent-Test-Lab

cd Argus-Agent-Test-Lab node tools/registry/verify-registry.mjs

→ registry intact: N records, chain head …

Verification uses only the Node.js standard library — no npm install, no network access, no trust in this README.

MCP server (runnable, zero-dependency)

This repository also ships a working MCP server: mcp-server.mjs is a stdio bridge (Model Context Protocol, JSON-RPC 2.0 over stdin/stdout) that connects any MCP client — Claude Desktop, Claude Code, Cursor, VS Code — to the hosted Argus Console endpoint at https://console.argus-lab.tech/mcp.

Pure Node.js 18+ stdlib. No npm install, no build step.

ARGUS_MCP_KEY=argmcp_yourkey node mcp-server.mjs

ARGUS_MCP_URL overrides the remote endpoint (default is the hosted console). initialize and tools/list work without a key (per the MCP spec — clients can inspect the server before signing up); tools/call requires your personal connector key: Argus Console → Agents → cheat sheet → MCP.

Claude Desktop:

{

"mcpServers": { "argus": { "command": "node", "args": ["/absolute/path/to/mcp-server.mjs"], "env": { "ARGUS_MCP_KEY": "argmcp_yourkey" } } } }

Tools: argus_verify_agent, argus_list_agents, argus_run_simulation (free simulation stand — nothing touches your agent), argus_run_engine (live battery against your agent's public URL, money-guard gate + fault probes, x402-ready), argus_get_run_report (sealed PASS / FAIL / HOLD / OBSERVED / DX verdicts with evidence).

The testing engine itself runs server-side at console.argus-lab.tech; this bridge is the protocol layer that speaks MCP on its behalf.

What is sealed here

Records in attestations/records/ are Ed25519-signed and hash-chained (prev_record_hash → chain head). Each record pins the sha256 of its evidence files. A seal attests run validity and findings completeness — never bug-freeness.

  • attestations/INDEX.md — human-readable index
  • attestations/records/ — the signed records
  • attestations/keys/ — public key argus-lab-2026q4r2
  • CI (.github/workflows/latest-seal.yml) re-verifies the whole registry on every push; a tampered or broken seal turns the build red, publicly.

Repository boundary (record 0013)

As of sealed record #0013, the product layer — the testing engine, scenario library, SUT harnesses, rail adapters and engagement archives — is developed in a private repository. The public repository retains the proof layer only. The exact moment of the split and the last public snapshot are themselves sealed and hash-pinned:

  • Record: argus-seal-0013 (see attestations/records/)
  • Manifest: attestations/evidence/0013-boundary/product-layer-manifest.json — sha256 of every file that moved, pinned at the last public snapshot efbf51ef8604040c74aa1d40593af9a08fa553de

The split is forward-only: no history rewrite, no force-push. Versions up to the snapshot commit remain public history, and everything referenced from public threads (e.g. docs/block-b/fixtures/S-BS-06/ on branch block-b/v1-scenarios, referenced from x402 issue #3866) stays public and byte-identical. Sealed evidence paths pinned by records #0000–#0012 are permanent and were retained.

Repository layout

attestations/        signed, hash-chained records + public key + index

tools/registry/ sign / verify tooling (node stdlib only) mcp-server.mjs runnable MCP server: stdio bridge to the hosted console (Node 18+ stdlib only) package.json manifest for the MCP bridge (bin: argus-mcp) tools/paypal-adapter/evidence/ sealed live-run evidence (records 0001–0002) site/ argus-lab.tech source (Next.js; prebuild re-verifies the registry) docs/block-b/ sealed fixtures and evidence (S-BS series, records 0003+) docs/inngest-battery/ sealed evidence + repro harness (record 0005) docs/t1-mcp-tool-idempotency/ sealed external verification (record 0009) sut-x402-pr3920/ sealed SUT evidence, x402 PR #3920 cycles (records 0008, 0012) src/tests/blockb/SBS19_BlockRunNano.test.ts sealed evidence (record 0006) .github/ CI: verify registry → OG cover → IndexNow → Vercel deploy

About Argus

Argus is an independent black-box testing laboratory for AI agents and agent-based payment systems. It runs controlled failure scenarios against observable systems under test (SUTs), captures evidence at protocol boundaries, evaluates explicit assertions, and produces evidence-backed verdicts — the public ones are the sealed records above.

Agent → Scenario → SUT → Evidence → Verdict

  • Sealed case work: x402 (#3866, PR #3920), Inngest (#5091), BlockRun (blockrun-nano-client #18), Nevermined, mcp-tool-idempotency
  • Commercial engagements (scenario conformance runs, release verification): argus-lab.tech

Argus lives in a repository separate from the systems it tests and interacts with SUTs through defined external interfaces and observable behavior only.

Status

Public case studies and production-capability claims are added only when supported by verified run evidence — the registry is the source of truth, not this README.

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