About Japan Food DB
Japan Food DB is an MCP service for AI agents that maps Japanese food names to per-100g nutrition values from Japan’s official food composition tables. It accepts fuzzy and colloquial names and includes data sources.
Key features
- 01Search Japanese food names
- 02Match fuzzy and colloquial names
- 03Return per-100g nutrition values
- 04Include data sources
Use cases
- 01Look up calories in common foods
- 02Resolve colloquial food names to data
- 03Get reference values for diet analysis
MCP support
As a remote MCP server, it provides clients with the `search_food` and `get_nutrition` tools. Responses include sources and state that values are for reference, not critical medical or allergy decisions.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://toriigate.dev/mcp/food-dbclaude mcp add --transport http dev-toriigate-food-db https://toriigate.dev/mcp/food-db{"mcpServers":{"dev-toriigate-food-db":{"type":"http","url":"https://toriigate.dev/mcp/food-db"}}}Open in Cursor{"servers":{"dev-toriigate-food-db":{"type":"http","url":"https://toriigate.dev/mcp/food-db"}}}Open in VS Code{"mcpServers":{"dev-toriigate-food-db":{"type":"http","url":"https://toriigate.dev/mcp/food-db"}}}{"mcpServers":{"dev-toriigate-food-db":{"serverUrl":"https://toriigate.dev/mcp/food-db"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
2| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | No | Max results (default 5) |
| query | string | Yes | Food name in Japanese, e.g. "鶏むね肉" or "ごはん" |
Details
From the project README⛩️ Torii Gate
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.
Tools
| 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.
Connect from an MCP client
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).
Run it yourself
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"}}}'
Architecture
- Cloudflare Workers + Hono + MCP SDK (Streamable HTTP, stateless)
- Manifest-driven: each tool lives in
src/tools/<name>/and declares its MCP tools, pricing, and data sources in a manifest.llms.txtand MCP Registryserver.jsonrecords are generated from manifests — never hand-written. - Funnel metering built in: discovery → connect → call events are recorded for every tool.
- Budget-guarded by design: runs on the Workers free plan, whose hard request cap fails closed instead of billing.
Data principles
- Records hold facts only — names, numbers, source URL, retrieval date. No copyrighted text or images.
- Public/government data forms the base layer; every record carries its source and license.
- Every response includes a disclaimer: reference values only, never for medical, allergy, or other critical decisions.
- Takedown requests are honored immediately.
Full datasets are imported at deploy time and are not part of this repository.
The experiment
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.
License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.