Server data from the Official MCP Registry
Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.
Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.
Remote endpoints: streamable-http: https://toriigate.dev/mcp/food-db
A well-architected MCP server with clean code, proper input validation, and thoughtful data handling. The server provides factual Japanese food composition data with appropriate disclaimers and source attribution. Permissions align well with the stated purpose. Minor quality suggestions around error handling and type safety do not materially affect security. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity).
7 files analyzed · 5 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
Japanese data tools for AI agents.
Japan has a wealth of clean, public, factual data — food composition tables, corporate registries, laws, land prices. Almost none of it is usable by AI agents: no clean APIs, Japanese-only interfaces, Excel files behind web forms. Meanwhile, agents worldwide get asked to do Japanese tasks every day.
Torii Gate is the gateway: each dataset becomes a remote MCP server that any agent can discover, connect to, and call.
| Tool | Description | Endpoint |
|---|---|---|
| Japan Food DB | Resolve Japanese food names (fuzzy/colloquial forms included) to nutrition facts per 100g, based on the official Standard Tables of Food Composition in Japan. Covers foods USDA and Open Food Facts don't. | /mcp/food-db |
More tools are on the way — corporate registry lookup, invoice registration checks, subsidy search. The platform is manifest-driven: adding a tool is one directory and one registry line.
Add the remote server to your client (Claude Code example):
claude mcp add --transport http japan-food-db https://toriigate.dev/mcp/food-db
Then ask things like "「セブンのサラダチキン」的な鶏むね肉のカロリーは?" — the agent calls search_food / get_nutrition and gets factual data with sources attached.
No API key is needed for the free tier (rate-limited).
npm install
npm run dev # local dev server on :8787
npm run typecheck
Smoke test:
curl http://localhost:8787/llms.txt
curl -X POST http://localhost:8787/mcp/food-db \
-H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_food","arguments":{"query":"ごはん"}}}'
src/tools/<name>/ and declares its MCP tools, pricing, and data sources in a manifest. llms.txt and MCP Registry server.json records are generated from manifests — never hand-written.Full datasets are imported at deploy time and are not part of this repository.
This platform is built and operated almost entirely by AI agents — planning, code, registry publishing, monitoring, and weekly funnel reports — with a human in the loop only for publish/kill approvals and a budget review. It is an open experiment in whether an AI-operated business unit can find real agent-to-agent demand. Funnel numbers and decisions will be published as we go.
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