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PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

Arbiter

作者:godwin105バージョン 0.1.1i★ –iパソコンで動く
レジストリ名io.github.godwin105/arbiter

インストール

概要

作者による説明(英語の原文)

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

PopNx MCPの3つの柱

この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

  • 接続方法: パソコンで動く
  • トランスポート: stdio
  • カテゴリ: その他
  • 入力が必要なもの:ARBITER_PRIVATE_KEY

インストール

使っているAIアプリを選んで、設定をコピーしてください。

インストールの前に

  • 基本チェック:1項目中1項目に合格
  • あなたのパソコンで、あなたのユーザーと同じ権限(ファイル、ネットワーク、アプリ)で動きます。
  • 自分で入力するもの: ARBITER_URL, ARBITER_PRIVATE_KEY, ARBITER_MAX_SPEND_USD, ARBITER_MAX_PRICE_PER_CALL

「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。

必要なもの

  • npmNode.jsのインストール(npxコマンドに必要)

どのアプリを使っていますか?

上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。

Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます

{
  "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"
      }
    }
  }
}

ターミナルでこれを実行します

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

動かす前に、空欄の値を入力してください。

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

{
  "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"
      }
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

{
  "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"
      }
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

自分で入力する値

  • ARBITER_URL env
    Arbiter deployment to call. Defaults to the hosted service.
  • ARBITER_PRIVATE_KEY 秘密 必須 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.

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック

  • ✓ 合格

    作者とリポジトリが一致

    レジストリ名は、リポジトリを所有するGitHubアカウント godwin105 で確認済みです

  • … 未チェック

    今もメンテナンスされている

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    ライセンスがある

    このリポジトリはまだGitHubから読み取っていません

  • – 対象外

    エンドポイントが応答する

    これはパソコンで動くため、インターネット上のエンドポイントはありません

  • – 対象外

    OAuthでサインイン

    パソコンで動き、代わりにローカルの設定を使います

  • … 未チェック

    ツールの説明に隠れた指示がない

    パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです

その他のほかのサーバーとの比較i

  • このカテゴリのほかの32497件のうち0%よりスターが多い
  • このカテゴリのほかの32497件のうち22%より最近レジストリに公開
  • 基本チェックの結果が、このカテゴリのほかの32497件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

よくある質問

Arbiterは安全ですか?

当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。

どんなキーやコードが必要ですか?

入力が必要なもの:ARBITER_PRIVATE_KEY

パソコンで動きますか、それともクラウドですか?

あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。

今もメンテナンスされていますか?

GitHubリポジトリの最終更新は–、最新バージョン(0.1.1)がレジストリに届いたのは3 か月前です。

どのアプリで使えますか?

Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。

代わりに使えるものは?

同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Zoo MCP

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i

Remote Desktop Commander

作者:desktop-commander

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

クラウドで動く★ 211昨日更新
インストール

Zoo MCP

作者:KittyCAD

An MCP server that provides access to the Zoo API for various CAD operations and tools.

パソコンで動く今日更新
インストール

作者のREADME

READMEを開く

作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。

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

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