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Otr Protocol

by yb48666-ctrlversion 3.1.0i★ –iRuns on your computer
Registry nameio.github.yb48666-ctrl/otr-protocol

Install

Overview

Description from the maker (original English)

Merchant trust verification for AI agents. One call = trust score, badge, and purchase safety.

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: Online shops & payments

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).
  • The registry lists no key to fill in.

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": {
    "otr-protocol": {
      "command": "npx",
      "args": [
        "-y",
        "@otr-protocol/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add otr-protocol -- npx -y @otr-protocol/mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "otr-protocol": {
      "command": "npx",
      "args": [
        "-y",
        "@otr-protocol/mcp-server"
      ]
    }
  }
}

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": {
    "otr-protocol": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@otr-protocol/mcp-server"
      ]
    }
  }
}

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account yb48666-ctrl, 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 Online shops & paymentsi

  • More stars than 0% of the other 1743 servers in this category
  • Published to the registry more recently than 2% of the other 1743 servers in this category
  • Basic checks equal to or better than 100% of the other 1743 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 Otr Protocol 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (3.1.0) reached the registry 8 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: Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce

Alternatives

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

Stripe MCP

by stripe

Stripe’s official server lets AI view and manage customers, products, payments and invoices. Connect to Stripe’s cloud and sign in with OAuth.

Runs in the cloud★ 2,043MITUpdated 12 months ago
Install

MCP Cn Commerce

by TonyWang-hub

8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending

Runs on your computer★ 96MITUpdated 27 days ago
Install

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.

OTR Protocol

The merchant trust layer for AI agent commerce

Deterministic, verifiable, open-source merchant trust scoring for the agentic economy

Protocol v4.1

Specification • Scoring Algorithm • Quick Start • Packages • Contributing


The Problem

AI agents are increasingly making purchase decisions on behalf of consumers. The agentic commerce stack is taking shape -- but there is a critical missing layer:

┌──────────────────────────────────────────────────────────────────┐

│ AI Agent Commerce Protocol Stack │ ├──────────────────────────────────────────────────────────────────┤ │ │ │ Visa TAP ·············· Agent Identity Verification │ │ Google UCP ············ Structured Data Exchange │ │ Stripe ACP ············ Payment Processing │ │ │ │ ┌───────────────────────────────────────────────────────────┐ │ │ │ OTR Protocol ····· MERCHANT TRUST VERIFICATION ◀━━━━━ │ │ │ │ "Is this merchant safe to buy from?" │ │ │ └───────────────────────────────────────────────────────────┘ │ │ │ │ Visa TAP answers "Who is the AI agent?" │ │ Google UCP answers "What products are available?" │ │ Stripe ACP answers "How do I pay?" │ │ OTR answers "Should I trust this merchant?" ◀━━ ONLY OTR │ │ │ └──────────────────────────────────────────────────────────────────┘

Without OTR, AI agents operate blind -- unable to distinguish a legitimate retailer from a sophisticated scam site. This exposes consumers to fraud and erodes trust in the entire agentic commerce ecosystem.

The Solution

OTR (Open Trust Registry) provides deterministic, verifiable merchant trust scores using 6 verification dimensions, a 10-layer anti-fraud pipeline (Layer 0: Google Web Risk one-vote veto + Layers 1-9: core detection engine), and three-layer immutable audit trail. It is fully open-source (MIT), machine-readable, and designed from the ground up for AI agent consumption.

Key Properties
  • Deterministic -- Same inputs always produce identical outputs. Any validator can reproduce any score.
  • Verifiable -- All data sources are publicly accessible. No hidden factors or proprietary signals.
  • Unforgeable -- Verification dimension weighted at 40% in public assessment. SEC filings, Wikidata entries, and 10-year domain age cannot be faked.
  • Tamper-proof -- SHA-256 hash chain + Base L2 blockchain anchoring + IPFS monthly snapshots.
  • Fair -- No pay-for-trust. Scores reflect behavior, not subscription level.
  • Category-aware -- Three site categories (ecommerce / saas / non_commerce) with tailored scoring weights.
  • Safety-first -- Google Web Risk Layer 0 one-vote veto: flagged domains get score=0, status SUSPENDED.

Quick Start

# Verify any merchant instantly

npx @otr-protocol/validator verify nike.com

Output:

┌──────────────────────────────────────────────┐

│ nike.com GOLD │

│ Trust Score: 88/100 Category: ecommerce │

│ OTR-ID: OTR-1C-7F3A2B9E4D1C-K4 │

│ │

│ Verification: 85 ██████████████░░ │

│ Security: 80 █████████████░░░ │

│ Governance: 72 ████████████░░░░ │

│ Transparency: 75 ████████████░░░░ │

│ Data Quality: 65 ██████████░░░░░░ │

│ Fulfillment: -- (COLD mode) │

└──────────────────────────────────────────────┘

For AI Agents (MCP Server)

The OTR MCP Server uses the standard Model Context Protocol and works with all MCP-compatible clients.

Claude Desktop / Claude Code -- add to claude_desktop_config.json:

{

"mcpServers": { "otr": { "command": "npx", "args": ["@otr-protocol/mcp-server"] } } }

Cursor / Windsurf / Cline -- same configuration in .cursor/mcp.json or equivalent. Any client implementing the MCP specification works out of the box.

Now any AI agent can verify merchants in natural language:

*"Is nike.com trustworthy?"* --> OTR returns trust score 88/100, badge GOLD, and a 6-dimension breakdown (Verification, Security, Governance, Transparency, DataQuality, Fulfillment) with evidence sources.

Two MCP Tools — One Call = Complete Answer
ToolDescriptionReturns
verify_merchantComplete merchant profile in one callTrust score (0-100), badge, 6-dimension breakdown, safety status (Google Web Risk), site classification (ecommerce/saas/non_commerce), entity data, policy URLs, data sources
search_registrySearch the OTR merchant registryPaginated merchant list with scores, badges, and recommendations

Design philosophy: AI agents should get everything they need in a single tool call. verify_merchant returns trust assessment + purchase capabilities + links + policy URLs + data freshness — no need to chain multiple calls.

TypeScript SDK
import { OtrClient } from "@otr-protocol/sdk";

const otr = new OtrClient(); const result = await otr.verify("nike.com");

console.log(result.trustScore); // 88 console.log(result.badge); // "GOLD" console.log(result.dimensions); // { verification: 85, security: 80, ... }

// Search the registry const results = await otr.search("electronics", { minScore: 70 });

Core Scoring Engine
import { calculateTrustScore } from "@otr-protocol/core";

// Deterministic: same inputs always produce identical outputs const result = calculateTrustScore({ hasSecFiling: true, hasStockSymbol: true, stockExchange: "NYSE", hasWikidataId: true, trancoRank: 500, domainAgeYears: 15, // ... 40+ evidence fields });

console.log(result.trustScore); // 88 console.log(result.badge); // "GOLD" console.log(result.tier); // "TIER_4"

Architecture

                         ┌─────────────────────────────────┐

│ AI Agent / Application │ │ "Should I buy from example.com?" │ └──────────────┬──────────────────┘ │ ┌───────────────────┼───────────────────┐ │ │ │ ┌─────▼─────┐ ┌──────▼──────┐ ┌──────▼──────┐ │ MCP Server │ │ REST API │ │ SDK │ │ (stdio) │ │ /api/otr │ │ npm pkg │ └─────┬──────┘ └──────┬──────┘ └──────┬──────┘ │ │ │ └───────────────────┼───────────────────┘ │ ┌──────────────▼──────────────┐ │ OTR Scoring Engine │ │ @otr-protocol/core │ │ │ │ ┌─────────────────────────┐ │ │ │ 6 Dimension Evaluators │ │ │ │ Verification | Security │ │ │ │ Governance | Transparency│ │ │ │ DataQuality | Fulfillment│ │ │ └─────────────────────────┘ │ │ ┌─────────────────────────┐ │ │ │ 10-Layer Anti-Fraud │ │ │ │ Domain Age | SSL | DNS │ │ │ │ Pattern | Tranco | ... │ │ │ └─────────────────────────┘ │ │ ┌─────────────────────────┐ │ │ │ Brand Fast-Track │ │ │ │ SEC + Tranco + Wikidata │ │ │ └─────────────────────────┘ │ └──────────────┬──────────────┘ │ ┌─────────────────────────┼─────────────────────────┐ │ │ │ ┌────────▼────────┐ ┌──────────▼──────────┐ ┌─────────▼─────────┐ │ Public Data │ │ Merchant Bridge │ │ Immutable Audit │ │ Sources │ │ (Verified Only) │ │ Trail │ │ │ │ │ │ │ │ SEC EDGAR │ │ Product Catalog │ │ SHA-256 Hash │ │ Wikidata │ │ Order Data (agg) │ │ Chain │ │ Tranco List │ │ Delivery Metrics │ │ Base L2 Anchoring │ │ DNS Records │ │ Tracking Numbers │ │ IPFS Snapshots │ │ SSL Certs │ │ (desensitized) │ │ │ │ Finnhub.io │ │ │ │ │ │ Google Web Risk │ │ │ │ │ │ Website Scan │ │ │ │ │ └─────────────────┘ └──────────────────────┘ └───────────────────┘

How Scoring Works

6 Trust Dimensions

Weights vary by site category:

#DimensionE-Commerce COLDSaaS COLDAUTH ModeWhat It Measures
1Verification0.400.370.10Stock exchange, Wikidata, GLEIF LEI, domain age, Tranco rank, payment processors
2Security0.150.200.10SSL/TLS, DMARC, SPF, DKIM, HSTS, DNSSEC, CSP, CAA, WAF, security.txt (15 signals)
3Governance0.200.230.10Privacy policy, GDPR/CCPA, terms, refund/return, shipping, cookie consent (10 signals)
4Transparency0.100.150.05robots.txt, sitemap, Schema.org, hreflang, AI crawler policy, llms.txt, about page
5Data Quality0.150.050.25E-commerce: 22 product data signals. SaaS: 12 platform signals (API docs, SLA, pricing, security certs)
6Fulfillment----0.40Delivery speed, return window, tracking, shipping policy (COLD mode: not scored)
What Each Dimension Measures
DimensionEvaluates

| Verification (V) | Is this a real, registered business? SSL certificate type, GLEIF LEI, Wikidata entity,

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

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