Spree Commerce: open-source B2B and marketplace ecommerce
Open-source B2B and marketplace ecommerce; new stores include an MCP server for AI agents.
作者提供的说明(英文原文)
Merchant trust verification for AI agents. One call = trust score, badge, and purchase safety.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
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": {
"otr-protocol": {
"command": "npx",
"args": [
"-y",
"@otr-protocol/mcp-server"
]
}
}
}在终端中运行这条命令
claude mcp add otr-protocol -- npx -y @otr-protocol/mcp-server粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"otr-protocol": {
"command": "npx",
"args": [
"-y",
"@otr-protocol/mcp-server"
]
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"otr-protocol": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@otr-protocol/mcp-server"
]
}
}
}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。
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。
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8日
注册名称已通过 GitHub 账户 yb48666-ctrl 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
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)。
GitHub 仓库最后更新于–,最新版本(3.1.0)于8个月前进入注册中心。
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。
同一分类中有:Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Open-source B2B and marketplace ecommerce; new stores include an MCP server for AI agents.
MCP server integrating with Stripe - tools for customers, products, payments, and more.
8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending
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。
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
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.
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.
# Verify any merchant instantly
npx @otr-protocol/validator verify nike.com
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.
| Tool | Description | Returns |
|---|---|---|
verify_merchant | Complete merchant profile in one call | Trust 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_registry | Search the OTR merchant registry | Paginated 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.
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 });
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"
┌─────────────────────────────────┐
│ 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 │ │ │ │ │ └─────────────────┘ └──────────────────────┘ └───────────────────┘
Weights vary by site category:
| # | Dimension | E-Commerce COLD | SaaS COLD | AUTH Mode | What It Measures |
|---|---|---|---|---|---|
| 1 | Verification | 0.40 | 0.37 | 0.10 | Stock exchange, Wikidata, GLEIF LEI, domain age, Tranco rank, payment processors |
| 2 | Security | 0.15 | 0.20 | 0.10 | SSL/TLS, DMARC, SPF, DKIM, HSTS, DNSSEC, CSP, CAA, WAF, security.txt (15 signals) |
| 3 | Governance | 0.20 | 0.23 | 0.10 | Privacy policy, GDPR/CCPA, terms, refund/return, shipping, cookie consent (10 signals) |
| 4 | Transparency | 0.10 | 0.15 | 0.05 | robots.txt, sitemap, Schema.org, hreflang, AI crawler policy, llms.txt, about page |
| 5 | Data Quality | 0.15 | 0.05 | 0.25 | E-commerce: 22 product data signals. SaaS: 12 platform signals (API docs, SLA, pricing, security certs) |
| 6 | Fulfillment | -- | -- | 0.40 | Delivery speed, return window, tracking, shipping policy (COLD mode: not scored) |
| Dimension | Evaluates |
|---|
| Verification (V) | Is this a real, registered business? SSL certificate type, GLEIF LEI, Wikidata entity,
只显示了开头部分;其余内容请在仓库中阅读