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PopNx MCPMCP servers for people who use AI · explained in plain words

Arbiter

by godwin105version 0.1.1i★ –iRuns on your computer
Registry nameio.github.godwin105/arbiter

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: ARBITER_PRIVATE_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: ARBITER_URL, ARBITER_PRIVATE_KEY, ARBITER_MAX_SPEND_USD, ARBITER_MAX_PRICE_PER_CALL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • ARBITER_URL env
    Arbiter deployment to call. Defaults to the hosted service.
  • ARBITER_PRIVATE_KEY secret required 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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account godwin105, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32583 servers in this category
  • Published to the registry more recently than 22% of the other 32583 servers in this category
  • Basic checks equal to or better than 100% of the other 32583 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Arbiter safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ARBITER_PRIVATE_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, sync. labs

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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