Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Is this transaction safe to sign? Decodes what it really does and answers allow, warn or block.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
ARBITER_URL, ARBITER_PRIVATE_KEY, ARBITER_MAX_SPEND_USD, ARBITER_MAX_PRICE_PER_CALLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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/mcpFill in the empty values before running it.
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.
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.
ARBITER_URL envARBITER_MAX_SPEND_USD envARBITER_MAX_PRICE_PER_CALL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account godwin105, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: ARBITER_PRIVATE_KEY
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).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, sync. labs
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Lipsync videos, dub them into other languages, make talking videos and open sync. Studio.
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.
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:
| Route | Judgment | Price |
|---|---|---|
POST /v1/judge/transaction | Machine — decode and risk-score an unsigned transaction before signing | $0.002 |
POST /v1/judge/counterparty | Data — is this payment counterparty who they claim to be | $0.01 |
POST /v1/judge/human | Human — 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.
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.
| Component | State |
|---|---|
| x402 payment core (Algorand, USDC, GoPlausible facilitator) | Working, verified end-to-end |
Bazaar discovery + x402-global-challenge tag | Working, verified in the 402 response |
/v1/judge/transaction Algorand firewall | Working, 5/5 attack cases pass |
/v1/judge/transaction EVM firewall | Working, 7/7 drain patterns pass, EIP-7702 aware |
/v1/judge/counterparty engine | Working, 5/5 cases pass against live mainnet + NFD |
/v1/judge/human marketplace | Working, consensus + reviewer reliability + payout ledger |
| On-chain payout settlement | Working — real USDC paid to a reviewer on-chain |
| SDK, MCP server, LangChain, ElizaOS, paying proxy | Built, typechecked, runtime-verified |
| CrewAI tools (Python) | Built; runs through the paying proxy — see below |
| KeeperHub integration | Working, real Sepolia transaction executed |
| Reviewer app (React) | Live at /work, verified end-to-end with a paid question |
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:
rekeyTo permanently transfers signing authority over the accountRun 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.
Catches the two silent, expensive failures a payout agent cannot see by reading an invoice:
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.
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
Worker API (/v1/work/*) is unpriced: reviewers are the supply side.
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.
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.
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.
| Package | For |
|---|---|
@arbiterlabs/sdk | TypeScript agents; pays x402 automatically |
@arbiterlabs/mcp | Any MCP host — Claude Code, Claude Desktop, OpenClaw |
@arbiterlabs/langchain | LangChain.js tools |
@arbiterlabs/eliza | ElizaOS plugin |
@arbiterlabs/proxy | Local paying sidecar for non-TypeScript agents |
arbiter-crewai | CrewAI (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.
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.
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.
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.
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:
x402-global-challenge tag on every routepayTo across all routesOnly the beginning is shown; read the rest in the repo