Server data from the Official MCP Registry
Identifies Kingdom Hearts merch from Japanese listing titles: SKU, condition terms, bootleg flags.
About
Identifies Kingdom Hearts merch from Japanese listing titles: SKU, condition terms, bootleg flags.
Remote endpoints: streamable-http: https://mcp.merchgraph.app/mcp streamable-http: https://kh-merch-graph.fandex.workers.dev/mcp
Security Report
This is a read-only Japanese merchandise lookup MCP server for Kingdom Hearts products with no authentication required and no evident exfiltration, shell execution, or hardcoded secrets in the reviewed code. Permissions are limited to stdio transport, network HTTP serving via Cloudflare Workers, KV storage for non-identifying usage logs and correction proposals, and an optional environment variable for batch size, all matching its stated purpose. Minor observations concern the unauthenticated public endpoints and the scope of the truncated validation script, which was not fully reviewed. Supply chain analysis found 8 known vulnerabilities in dependencies (2 critical, 3 high severity).
6 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub 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
- Verified catalog, not scraped or guessed. Every SKU in the catalog was checked by a human against a primary source (an official product page, a maker's press release, etc.) — 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.
- 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 intocandidates— an emptycandidatesarray means "probably not in the catalog," not "best effort." - 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 hand-verified 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 olderhttps://kh-merch-graph.fandex.workers.dev/mcpkeeps 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 owntools/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
| Tool | What it does |
|---|---|
resolve_listing | Listing title/description → SKU candidates, condition terms, bootleg-caution flags, price ratio |
resolve_listings_batch | Same 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_product | sku_id or free-text query → full detail on one SKU (line, character, dimensions, rerelease history, source) |
discover | Browse the catalog by IP/character/budget/purpose |
estimate_landed_cost | Listing price + weight/SKU + destination country → landed-cost estimate by route |
report_correction | Report 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_urlto a primary source; unverified rows are markedverified=falserather 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_listingfinds no candidate, ordiscoveris 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.
flagspoint 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.
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