mcp server
Japan Food DB
Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.
Description as published by the maintainer. Source
- version 0.2.0
- active
active — Most recent push to the repository was 2026-07-02.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-02 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.2.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-01 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-01 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Gachi Data API — Japan Station & Accessibility Data
— last commit 2026-08-02, shares cloudflare-workers, japan
Deep, obscure Japanese station, accessibility & hazard data for AI agents. English-first.
-
Torify — Japan Locale APIs for AI Agents
— last commit 2026-05-29, shares cloudflare-workers, japan
39 Japanese locale APIs — wareki, NTA invoice, 法人番号, postal, romanization, kanji-kana (Workers AI).
-
io.github.ajtgjmdjp/edinet-mcp
— last commit 2026-07-27, shares japan
Access Japanese financial disclosures (EDINET). Search companies, retrieve BS/PL/CF statements.
-
ai.radixia/blog
— last commit 2026-08-05, shares cloudflare-workers
Search and read the Radixia blog (enterprise AI, cloud, open source) via MCP.
-
refd
— last commit 2026-07-30, shares cloudflare-workers
Read AI search visibility, competitors, citations, prompts, and answer evidence from refd.
-
ai.smithery/TakoData-tako-mcp
— last commit 2026-08-06, shares cloudflare-workers
Provide real-time data querying and visualization by integrating Tako with your agents. Generate o…
-
Scry
— archived, last commit 2026-05-25, shares cloudflare-workers
Free IPv4 lookups against a distributed attacker-observation corpus.
-
Flaim Fantasy
— last commit 2026-08-06, shares cloudflare-workers
Read-only fantasy analysis for ESPN, Yahoo, and Sleeper leagues via MCP
-
Pulltrader Seller Economics
— last commit 2026-06-28, shares cloudflare-workers
Compare what a trading-card seller keeps across eBay, Pulltrader, and other card marketplaces.
-
ToolSnap MCP
— last commit 2026-07-26, shares cloudflare-workers
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
These share tags the maintainers applied themselves, such as cloudflare-workers, japan. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, cloudflare-workers, japan, mcp, model-context-protocol.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab