KH Merch Graph

io.github.marleyhereicome-cpu由 GitHub 账号 marleyhereicome-cpu 发布v1.0.1更新于 Nov 6, 2026

Identifies Kingdom Hearts merch from Japanese listing titles: SKU, condition terms, bootleg flags.

已验证Streamable HTTP可网页运行数据与分析商业与电商

概览

AI 生成的概览

远程 MCP 服务器,把日文二手《王国之心》周边商品标题解析为 SKU 候选、品相用语、盗版提示与到手价估算。

可以做什么
  • 将商品标题与描述解析为 SKU 候选、品相用语含义、盗版警示标记和相对定价的比例,可单条或最多五条批量处理
  • 按 SKU 或自然语言查询商品详情,包括产品线、角色、尺寸、再版历史与来源链接
  • 按 IP、角色、预算和用途浏览目录
  • 根据价格、重量或 SKU 与目的国,按代购与配送路线估算到手总价
  • 报告目录错误,或附上来源提议新增 SKU
适用场景
适合在日本二手平台淘《王国之心》周边时使用:让助手判断某条商品究竟是什么、对比官方定价、留意真伪风险,或估算寄到本国的总花费。目前仅覆盖《王国之心》。
运行要求
需要可访问的远程 Streamable HTTP MCP 端点;无需 API 密钥或身份验证。任何支持 MCP 的客户端都可通过网址连接,另提供浏览器界面。
安装前请注意
真伪标记只是提醒而非结论,价格与到手价均为规划用估算,不构成鉴定或报价。服务器不抓取交易平台,只读取你发送的商品文本;据其说明商品文本与网址不会被记录,但工具名、匹配的 SKU、价格、目的国和时间戳会被记录,无匹配时还会记录少量非识别性关键词。report_correction 会把内容提交给维护者。

安装

在 SourceWeft 中

  1. 打开 控制台中的 KH Merch Graph,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.marleyhereicome-cpu%2Fkh-merch-graph/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "kh-merch-graph": {
      "type": "http",
      "url": "https://mcp.merchgraph.app/mcp"
    }
  }
}

README

KH Merch Graph

An MCP (Model Context Protocol) server that turns a Japanese secondhand-listing title for Kingdom Hearts merchandise (Mercari, Yahoo! Auctions, Suruga-ya, Mandarake, …) into: the likely official SKU, what the condition wording actually means, bootleg-caution flags, a price-to-MSRP ratio, and a landed-cost estimate to your country. Point any MCP-capable AI agent at it and hand it listing text — it does the rest.

Try it in your browser (no AI agent needed): https://merchgraph.app

Why this is different

  1. Sourced catalog, not scraped or guessed. Every SKU in the catalog is tied to a primary source (an official product page, a maker's press release, etc.) and marked verified or not — the source URL is attached to every entry and returned with every match, so you can check it yourself. Nothing is inferred by an LLM inside the server.
  2. No confident guess, no candidate. When the match confidence is low, this server does not present a guess as an answer. Low-confidence matches are returned separately as weak_matches, never mixed into candidates — an empty candidates array means "probably not in the catalog," not "best effort."
  3. Bring Your Own Listing. This server never crawls or scrapes marketplaces itself, and never stores the listing text or URL you send it. You already have the listing open; you paste the text, it interprets it.

Supported IP

Kingdom Hearts only, for now. The catalog is curated one SKU at a time, so it grows slowly on purpose. If you ask about another franchise, the server won't fabricate an answer — it notes the request (see Data sourcing & privacy) to help decide what to add next. Use report_correction or open a GitHub issue if you want to nominate a franchise or a specific missing SKU.

Usage examples

These are things you'd say to your AI agent once it's connected to this server (see Connect).

1. "Is this listing worth it?"

"I found this on Mercari for ¥8,000: 一番くじ KINGDOM HEARTS -25th Anniversary- A賞 ソラ スタチュー 開封済み. What is it, and is that a fair price?"

The agent calls resolve_listing and gets back the matched SKU, the MSRP, the price ratio, the meaning of 「開封済み」("opened"), and a link to the primary source for that SKU.

2. "What Sora merch exists under ¥5,000?"

"Show me Kingdom Hearts Sora items under ¥5,000 that I could display."

The agent calls discover({ ip: "kingdom-hearts", character: "Sora", budget_jpy: 5000, purpose: "display" }) and gets a list of catalog SKUs matching those filters (this does not mean any of them are currently for sale anywhere — it's a catalog browse, not a marketplace search).

3. "What would it cost me, landed, in the US?"

"That listing is ¥8,000 plus it weighs about 400g. What's the total cost shipped to the US?"

The agent calls estimate_landed_cost({ price_jpy: 8000, weight_g: 400, dest_country: "US" }) and gets per-route estimates (proxy fee + shipping) with the cheapest option highlighted, plus when the rate table was last checked.

Connect

  • MCP endpoint (Streamable HTTP, JSON-RPC 2.0, no auth): https://mcp.merchgraph.app/mcp (the older https://kh-merch-graph.fandex.workers.dev/mcp keeps working)
  • Health check: .../health
  • For AI agents that discover servers by URL: .../llms.txt (plain-language entry point) and .../openapi.json (schema reference — the real transport is MCP's own tools/list/tools/call, this is a documentation aid for OpenAPI-only tooling)

Claude Desktop / Claude.ai

Add it as a custom connector using the MCP endpoint URL above. No API key or auth is required.

Any other MCP client

Point it at the /mcp endpoint with the Streamable HTTP transport. tools/list returns the live, authoritative schema for all five tools below.

Tools

ToolWhat it does
resolve_listingListing title/description → SKU candidates, condition terms, bootleg-caution flags, price ratio
resolve_listings_batchSame as resolve_listing for several listings in one call (up to 5 per call by default, set by MAX_BATCH_LISTINGS in wrangler.toml); results in input order
explain_productsku_id or free-text query → full detail on one SKU (line, character, dimensions, rerelease history, source)
discoverBrowse the catalog by IP/character/budget/purpose
estimate_landed_costListing price + weight/SKU + destination country → landed-cost estimate by route
report_correctionReport a catalog error, or propose a new SKU, with a primary source

Full input/output shapes: docs/SPEC.md.

Data sourcing & privacy

  • Every catalog row requires a source_url to a primary source; unverified rows are marked verified=false rather than silently trusted.
  • This server does not scrape, browse, or log in to any marketplace. It only reads the text an agent sends it, for the duration of a single request.
  • Usage logs on the public deployment contain only: tool name, matched SKU IDs, price, destination country, and timestamp. The listing title, description, and any URL you pass are never logged or stored.
  • When resolve_listing finds no candidate, or discover is asked about an IP not yet in the catalog, the server logs a small, non-identifying signal (a handful of recognized keywords, or the requested IP name only — never the raw listing text) so maintainers know what to add next.

Disclaimers

  • Authenticity is a caution flag, not a verdict. flags point out things worth asking the seller about (price far below MSRP, materials/marks associated with counterfeits, etc.). This server never states that an item is genuine or fake.
  • Prices are estimates for planning, not appraisals or quotes. MSRP ratios and landed-cost totals are meant to help you decide whether to look closer, not to be relied on for a purchase decision or a valuation.

Reporting a correction or a new SKU

Call report_correction with the field you want changed (or leave sku_id empty to propose a new item), your proposed value, and — importantly — a source_url backing it up. You can also open a GitHub issue.

Contributing / building this yourself

This repo is also a step-by-step teaching kit for building an MCP server like this one from scratch. See docs/GETTING_STARTED_JA.md (Japanese) and docs/SPEC.md for the full design. License: MIT (see LICENSE). Third-party names, logos and images are not covered; see NOTICE.

Pipeline: active

来源:README.md,提交 c97a873

工具

6

resolve_listing

Resolve listing

日本語の中古出品タイトル・説明文から、正規SKU候補・状態語・海賊版注意フラグ・定価比の目安を返す。

输入参数srcurltitle必填platformprice_jpydescription

resolve_listings_batch

Resolve listings (batch)

resolve_listing を最大5件まとめて1回で実行する。多数の出品を照会するときに使う。結果は入力と同じ順番の配列で、各要素は resolve_listing と同じ形式(失敗した件のみ { error })。5件を超える場合は5件ずつに分けて複数回呼ぶこと。1件だけなら resolve_listing を使う。

输入参数listings必填

explain_product

Explain product

sku_id または自然文クエリから、商品ライン・キャラ・寸法・再販履歴・出典URLなど商品の詳細を返す。

输入参数querysku_id

discover

Discover

カタログから条件(IP・キャラ・予算・用途)に合う候補SKUを探す。実際に出品されているかは保証しない。

输入参数ip必填limittermspurposecharacterbudget_jpy

estimate_landed_cost

Estimate landed cost

出品価格・重量(またはsku_id)・仕向国から、代行×配送の経路別の総額目安と最安経路を返す。

输入参数proxysku_idweight_gprice_jpy必填dest_country必填

report_correction

Report correction

カタログの誤り・不足を報告する。受付IDを返す。

输入参数notefield必填sku_idsource_urlproposed_value必填

版本历史

1
  1. v1.0.1最新Oct 23, 2026

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