MCP server

KH Merch Graph

io.github.marleyhereicome-cpu/kh-merch-graph

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Working at last checkAbout 1,203 tokens per request once connected6 tools

Website Source

https://mcp.merchgraph.app/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 6
Token cost: About 1,203 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http kh-merch-graph https://mcp.merchgraph.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.kh-merch-graph]
url = "https://mcp.merchgraph.app/mcp"

Gemini CLI

{"mcpServers":{"kh-merch-graph":{"httpUrl":"https://mcp.merchgraph.app/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add kh-merch-graph https://mcp.merchgraph.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"kh-merch-graph","server_url":"https://mcp.merchgraph.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"kh-merch-graph","server_url":"https://mcp.merchgraph.app/mcp"}

Tools

discover ~301 tokens
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。
estimate_landed_cost ~166 tokens
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。
explain_product ~105 tokens
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。
report_correction ~157 tokens
カタログの誤り・不足を報告する。受付IDを返す。
resolve_listing ~199 tokens
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。
resolve_listings_batch ~275 tokens
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。

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