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

Arbiter

作者:godwin105版本 0.1.1i★ –i在你的电脑上运行
注册名称io.github.godwin105/arbiter

安装

概览

作者提供的说明(英文原文)

Is this transaction safe to sign? Decodes what it really does and answers allow, warn or block.

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:ARBITER_PRIVATE_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: ARBITER_URL, ARBITER_PRIVATE_KEY, ARBITER_MAX_SPEND_USD, ARBITER_MAX_PRICE_PER_CALL

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "arbiter": {
      "command": "npx",
      "args": [
        "-y",
        "@arbiterlabs/mcp"
      ],
      "env": {
        "ARBITER_URL": "your-value",
        "ARBITER_PRIVATE_KEY": "your-value",
        "ARBITER_MAX_SPEND_USD": "your-value",
        "ARBITER_MAX_PRICE_PER_CALL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add arbiter --env ARBITER_URL=your-value --env ARBITER_PRIVATE_KEY=your-value --env ARBITER_MAX_SPEND_USD=your-value --env ARBITER_MAX_PRICE_PER_CALL=your-value -- npx -y @arbiterlabs/mcp

运行前请先填写空着的值。

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": {
    "arbiter": {
      "command": "npx",
      "args": [
        "-y",
        "@arbiterlabs/mcp"
      ],
      "env": {
        "ARBITER_URL": "your-value",
        "ARBITER_PRIVATE_KEY": "your-value",
        "ARBITER_MAX_SPEND_USD": "your-value",
        "ARBITER_MAX_PRICE_PER_CALL": "your-value"
      }
    }
  }
}

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": {
    "arbiter": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@arbiterlabs/mcp"
      ],
      "env": {
        "ARBITER_URL": "your-value",
        "ARBITER_PRIVATE_KEY": "your-value",
        "ARBITER_MAX_SPEND_USD": "your-value",
        "ARBITER_MAX_PRICE_PER_CALL": "your-value"
      }
    }
  }
}

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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • ARBITER_URL env
    Arbiter deployment to call. Defaults to the hosted service.
  • ARBITER_PRIVATE_KEY 机密 必填 env
    Base64-encoded 64-byte Algorand private key used to pay for calls. The account needs USDC and must be opted in to the USDC asset. Without it every request stops at the paywall.
  • ARBITER_MAX_SPEND_USD env
    Lifetime spending cap for this process, in USD. Enforced before anything is signed.
  • ARBITER_MAX_PRICE_PER_CALL env
    Refuse any single call priced above this, in USD.

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 godwin105 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32602 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32602 个服务器的 22% 更新
  • 基础检查结果等于或优于此分类中其他 32602 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

Arbiter 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?

你需要填写:ARBITER_PRIVATE_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.1)于3个月前进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

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

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

Rystic

作者:Rystic-Inc

Start, seed, clock, inspect and diff Rystic API simulators from your agent.

在你的电脑上运行今天更新
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。

Arbiter

The judgment layer for autonomous agents.

An AI agent about to act on the world often needs a judgment it cannot make by itself: *is this transaction safe to sign, is this counterparty real, is this photo actually what it claims to be.* Arbiter sells those judgments one call at a time, paid over x402 in USDC on Algorand.

Three routes, one response contract:

RouteJudgmentPrice
POST /v1/judge/transactionMachine — decode and risk-score an unsigned transaction before signing$0.002
POST /v1/judge/counterpartyData — is this payment counterparty who they claim to be$0.01
POST /v1/judge/humanHuman — questions a model cannot settle alone, answered by vetted reviewers$0.25

Every route returns the same verdict envelope, so an agent integrates one shape and can then ask for any kind of judgment without new branching logic:

{

"decision": "block", // allow | warn | block | escalate "risk": 100, // 0-100 "confidence": 1, // 0-1; low confidence forces "escalate" "findings": [ /* itemised, each with severity, detail and source */ ], "evidence": { /* the decoded transaction, the counterparty record */ }, "meta": { "degraded": false, "latencyMs": 378 } }

New here, or explaining this to someone non-technical?

What Arbiter actually does — no code, no jargon.

Live

https://arbiter-hs23.onrender.com — API, and the reviewer app at /work.

Preflight: 18 passed, 0 blocking failures. Running on Render's free plan, which has no persistent disk and spins down after 15 minutes idle — see DEPLOY.md for what that costs and the upgrade needed before the October leaderboard window.

Status

ComponentState
x402 payment core (Algorand, USDC, GoPlausible facilitator)Working, verified end-to-end
Bazaar discovery + x402-global-challenge tagWorking, verified in the 402 response
/v1/judge/transaction Algorand firewallWorking, 5/5 attack cases pass
/v1/judge/transaction EVM firewallWorking, 7/7 drain patterns pass, EIP-7702 aware
/v1/judge/counterparty engineWorking, 5/5 cases pass against live mainnet + NFD
/v1/judge/human marketplaceWorking, consensus + reviewer reliability + payout ledger
On-chain payout settlementWorking — real USDC paid to a reviewer on-chain
SDK, MCP server, LangChain, ElizaOS, paying proxyBuilt, typechecked, runtime-verified
CrewAI tools (Python)Built; runs through the paying proxy — see below
KeeperHub integrationWorking, real Sepolia transaction executed
Reviewer app (React)Live at /work, verified end-to-end with a paid question

The transaction firewall

Autonomous agents lose funds in a small number of specific ways. The firewall decodes the actual transaction bytes and reports what signing would really do:

  • Rekey — rekeyTo permanently transfers signing authority over the account
  • Close-remainder — sweeps the entire ALGO balance regardless of the stated amount
  • Asset close-out — sweeps the entire ASA holding regardless of the stated amount
  • Clawback — moves assets out of a third party's account
  • Fee drain — the balance leaves via an oversized fee rather than a visible transfer
  • App delete / update — destroys or silently replaces contract logic
  • Asset-level risk: creator-held clawback and freeze authority, non-existent assets
  • Account-level risk: signer already rekeyed, unfunded recipient, expired validity window

Run it against real, freshly-encoded transactions:

npm run demo:attacks
[BLOCK]  Rekey attack              risk=100/100  confidence=1  1365ms

[BLOCK] Close-remainder drain risk=100/100 confidence=1 378ms [BLOCK] Asset close-out drain risk=100/100 confidence=1 1432ms [BLOCK] Fee drain risk=100/100 confidence=1 379ms [ALLOW] Benign payment risk=0/100 confidence=1 398ms

The benign case returning zero findings matters as much as the blocks — a firewall that cries wolf gets switched off.

Counterparty verification

Catches the two silent, expensive failures a payout agent cannot see by reading an invoice:

  • Swapped payment address — the invoice is genuine and the payee is real, but the address belongs to someone else. Resolved against the NFD registry and compared to every address the identity legitimately controls.
  • Missing asset opt-in — on Algorand an ASA transfer to an account that has not opted in is rejected outright. The payment simply never arrives.

Plus rekeyed recipients, frozen holdings, below-minimum balances, unregistered or expired identities, and never-funded addresses.

npm run demo:counterparty     # live NFD registry + Algorand mainnet, read-only

The two cases worth reading are adjacent and opposite: an identity that verifies but whose address cannot receive the asset, and an identity that fails on an address that could. Both block, for entirely different reasons.

Human judgment

Questions a model cannot settle alone go to vetted reviewers. The paid call long-polls for a bounded window; if reviewers answer in time the verdict returns inline, otherwise the caller gets a pending verdict and a free retrieval URL. Timing out never costs a second payment.

npm run demo:human
  • Majority vote across a configurable quorum, with the agreement ratio exposed
  • Confidence is agreement discounted by how proven the panel is, so a unanimous answer from unproven reviewers is not treated as certainty
  • Reviewers are paid for participating, not for agreeing — paying for agreement incentivises guessing the majority rather than reporting what you saw
  • Implausibly fast answers are flagged as a quality signal
  • Per-reviewer reliability accrues from consensus agreement over time

Worker API (/v1/work/*) is unpriced: reviewers are the supply side.

Paying reviewers
npm run settle -- --dry-run    # check everything, send nothing

npm run settle # pay

Two rules govern this, and both cost something to follow:

Claim before broadcasting. Payouts move to settling with an attempt id *before* any transaction is sent, and that attempt id is written into the transaction's note field. A process that dies mid-flight therefore leaves money unpaid rather than paid twice — unpaid is recoverable by a person reading the stuck rows against the ledger, paid twice is not.

Check the payee before paying. Every payout address goes through Arbiter's own /v1/judge/counterparty engine first. Not decoration: a USDC transfer to an account that has not opted in is rejected by the protocol, so paying blind burns a fee and leaves the reviewer unpaid with no explanation. Blocked payouts stay pending and are retried once the reviewer opts in.

[PAID]  0.150000 USDC -> GBRO5EM4JM57PDPS…

txid SIEXIGX6KQKA4D4PTOUL7R6M5BDP4BIUEW2TTOIFZHBU233LSKWQ note arbiter:payout:pay_msft8csu_rfq0ch

[SKIP] 0.150000 USDC -> OEQWDYGTEXMDWSH2… Arbiter blocked this payee: Counterparty has not opted in to the asset

The payout account is configured separately from PAY_TO on purpose. PAY_TO accumulates revenue and its key never needs to be on a server; the payout account holds working capital only, so a compromised host cannot drain earnings.

Design rule: the caller has already paid

By the time an engine runs, the agent has been charged. So no upstream failure may throw. Every algod lookup has a hard timeout and returns a result that says whether data was actually obtained; a failed lookup lowers confidence and sets meta.degraded, and the static decode rules — which catch the critical severities — still run. A degraded verdict is still a useful verdict.

Separately, confidence < 0.4 returns escalate rather than allow, so a thin-evidence verdict can never be mistaken for a clean bill of health.

Getting it into agents

Volume on a usage-ranked leaderboard comes from other people's agents calling you, so the clients are the product surface, not an afterthought. Full detail in clients/README.md.

PackageFor
@arbiterlabs/sdkTypeScript agents; pays x402 automatically
@arbiterlabs/mcpAny MCP host — Claude Code, Claude Desktop, OpenClaw
@arbiterlabs/langchainLangChain.js tools
@arbiterlabs/elizaElizaOS plugin
@arbiterlabs/proxyLocal paying sidecar for non-TypeScript agents
arbiter-crewaiCrewAI (Python), via the sidecar

Spend limits live in the client rather than in advice to integrators, because an agent in a retry loop against a paid endpoint is a wallet-draining bug:

const client = new ArbiterClient({

baseUrl: process.env.ARBITER_URL, privateKey: process.env.ALGO_KEY, maxPricePerCallUsd: 0.5, maxTotalSpendUsd: 10, });

Both caps are enforced in the payment selector, before anything is signed.

Why Python needs a sidecar

Paying x402 on Algorand requires an AVM scheme client, and that exists only in TypeScript today. x402 2.18 ships no AVM client, and x402-avm 2.0.2 — despite the name — ships none either, has no algosdk dependency, and installs *into the x402 namespace*, overwriting the base package. So a Python agent cannot construct an Algorand x402 payment at all.

@arbiterlabs/proxy therefore holds the key, pays, and re-exposes the judgments unpriced on loopback. That is also the better arrangement in general: one process holds the funded key and enforces one budget, instead of every agent process carrying a copy of both.

Setup

npm install

cp .env.example .env # then set PAY_TO npm run dev

PAY_TO must be a real Algorand address opted in to the USDC ASA for the network you are running (testnet 10458941, mainnet 31566704), or settlement fails.

Verify the payment gate:

curl -i -X POST http://localhost:4021/v1/judge/transaction \

-H 'content-type: application/json' \ -d '{"chain":"algorand","transaction":"abc"}'

Expect HTTP 402 with a base64 PAYMENT-REQUIRED header carrying the price, asset, payTo, feePayer and the Bazaar discovery schema.

A note on the facilitator network identifier

The GoPlausible facilitator advertises Algorand using the full padded base64 genesis hash as the CAIP-2 reference:

algorand:SGO1GKSzyE7IEPItTxCByw9x8FmnrCDexi9/cOUJOiI=

while @x402/avm's ALGORAND_TESTNET_CAIP2 uses the CAIP-2-legal 32-character truncation:

algorand:SGO1GKSzyE7IEPItTxCByw9x8FmnrCDe

Both normalize to the same network inside the AVM scheme, but the resource server validates route configuration against the facilitator's advertised strings by exact equality — so using the SDK constant fails startup with missing_facilitator. src/facilitator.ts resolves the identifier from /supported at boot and matches by normalization, which works with either form and will keep working if the padding is fixed upstream. It also picks up the advertised feePayer, so callers can pay in USDC without holding ALGO for gas.

Competition configuration

Built for the Algorand Global x402 Challenge as a Composite Entry: all three routes share one payTo, so their volume rolls up into a single merchant entry while each route stays individually discoverable in the Bazaar.

Requirements wired in and verified in the live 402 response:

  • Paid endpoint returning HTTP 402 without payment
  • GoPlausible facilitator (not an alternative facilitator)
  • Bazaar discovery extension with per-route input/output schemas
  • x402-global-challenge tag on every route
  • Single consistent payTo across all routes
  • Deployed to public HTTPS on MainNet
  • One real

只显示了开头部分;其余内容请在仓库中阅读

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