Mmcp.market

Tabedata MCP server

by mrslbt·io.github.mrslbt/tabedata-mcp·v1.5.0
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Bilingual JP/EN Japanese food nutrition for AI: 460 sourced konbini, chain & brand items.

A88/100grade A
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Safety scan
A88/100

full report

Adoption
Growing

2 stars42 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Tabedata tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 54 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the Tabedata repository's README, as published. We do not edit it. Read it on GitHub

tabedata-mcp

Model Context Protocol server for Japanese food nutrition data. Bilingual JP/EN lookups across konbini, restaurant chains, and grocery brands. Macros, allergens, sodium, and menu navigation for any AI assistant operating in Japan.

460 sourced items across 21 chains. 42 come from Japan's MEXT food composition database (36 generic staples + 6 drinks); the rest are transcribed from official manufacturer labels and restaurant nutrition PDFs, with ~10% flagged as estimates where official figures weren't available. Size variants (並 / 大盛 / 特盛) on every restaurant chain that publishes them.

Who this is for

  • Tracking macros, sodium, or carbs on a Japanese diet
  • Looking up allergens on a menu you can't read
  • Travelers using an AI assistant to navigate Japanese restaurants and konbini
  • Comparing options across chains ("which chain has the leanest chicken?")
  • Building nutrition or meal apps that need real Japanese product data

Install

npm install -g tabedata-mcp

Or run on demand with npx -y tabedata-mcp.

Configuration

No API keys needed. Curated database ships with the package.

Claude Desktop

Edit claudedesktopconfig.json:

{
  "mcpServers": {
    "tabedata": {
      "command": "npx",
      "args": ["-y", "tabedata-mcp"]
    }
  }
}

Claude Code

claude mcp add tabedata -- npx -y tabedata-mcp

Cursor / Windsurf

Add to ~/.cursor/mcp.json with the same shape as Claude Desktop.

Tools

Prompts

Coverage

Konbini (122 items)

Restaurant chains (272 items)

Japanese chains: Nakau, Sukiya, Yoshinoya, Matsuya, CoCo Ichibanya, Marugame Seimen, Tenya, MOS Burger, Yayoiken, Ootoya, Ichiran.

Western and global chains: McDonald's Japan, KFC Japan, Subway Japan, Lotteria, Freshness Burger, Doutor.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

Runs npx -y tabedata-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add tabedata-mcp -- npx -y tabedata-mcp
Add to Cursor

Tabedata: common questions

Is Tabedata MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the Tabedata safety report
How do I install Tabedata?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Tabedata need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Tabedata maintained?
The last commit was 54 days ago (2026-08-01). The latest release is v1.5.0.

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