Tabedata MCP

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/mrslbt-tabedata-mcp

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What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

6 read · 0 write · 0 deleteRead-only

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Node.js package

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• analyze_mealAnalyze Mealread-only

  PREFERRED tool whenever the user describes a whole meal (two or more items): resolves every item in ONE call and returns macro totals plus target comparison. Do NOT decompose a meal into separate konbini_item/restaurant_meal/search_food lookups. In clients that support MCP Apps it also renders a visual nutrition label. Recognizes counts ('2 eggs'), weights ('200g rice'), fractions ('half avocado', '3/4 portion'), and restaurant size names ('Nakau large oyakodon'). Optional user_profile compares totals against personalized targets (pass it whenever the user shares their stats). 自然言語の食事リストを解析し、…

• daily_targetsCalculate Personalized Daily Targetsread-only

  Calculate personalized daily calorie, protein, carb, fat, fiber, and water targets. Uses Mifflin-St Jeor for BMR, an activity multiplier for TDEE, and a goal-driven deficit/surplus. Diabetes risk shifts the macro split toward fat (35%) to lower carb load. Hypertension surfaces a sodium guidance note. 個別の1日あたりカロリー・PFC・繊維・水分量を算出します。BMR は Mifflin-St Jeor、TDEE は活動係数、目標から赤字・黒字を決定。糖尿病リスクがある場合は脂質比率を高めて糖質負荷を抑えます。

• find_alternativesFind Better Food Alternativesread-only

  Find alternatives for a food along a chosen axis: higher protein, lower calorie, or lower sodium. Returns each alternative with its improvement and tradeoff. ある食品の代替案を、たんぱく質・カロリー・ナトリウムなど指定軸で提案します。改善点とトレードオフを併記します。

• konbini_itemKonbini Item Lookupread-only

  Look up konbini items (7-Eleven, Lawson, FamilyMart, Ministop) by chain. Most items are AI-compiled from official product labels; a small share are flagged estimates where label data was unavailable — each item returns its source URL, type, and confidence so you can check the value. Values are not individually human-verified; treat them as a reference. コンビニ商品(セブン-イレブン・ローソン・ファミリーマート・ミニストップ)をチェーン別に検索します。多くは公式の商品表示からAIが編集していますが、一部は表示が入手できず推定値です。各商品に出典URL・種別・信頼度を付与しているため値を確認できます。人手による個別検証は行っていないため参考値としてご利用ください。

• restaurant_mealRestaurant Chain Meal Lookupread-only

  Look up a restaurant chain meal with size variants, AI-compiled from official chain nutrition PDFs, allergen tables, and product labels — cited per item, with a small share flagged as estimates where official figures were unavailable. Values are not individually human-verified; treat them as a reference. Default size is 並 (regular); the modifications field is recorded but not yet applied to nutrition totals. 飲食チェーンのメニューをサイズ違いで検索します。各社公式の栄養PDF・アレルゲン表・商品表示をもとにAIが編集し、商品ごとに引用URLを保持(一部は公式値が入手できず推定値)。人手による個別検証は行っていないため参考値としてご利用ください。既定サイズは並。「玉子追加」などの変更項目は記録のみで、栄養への反映は未対応です。

• search_foodSearch Japanese Food Databaseread-only

  Search an AI-compiled 460-item Japanese food database by English or Japanese keyword (e.g. 'salad chicken' or 'サラダチキン'), returning macros, allergens, and a cited source per item. Sources are manufacturer labels, restaurant nutrition PDFs, Japan's MEXT food-composition database, or flagged estimates; each item carries a confidence level and a source URL to check the value against. Values are AI-compiled from those sources, not individually human-verified — treat them as a reference. AIが編集した日本の食品データベース(460件)を日本語・英語のキーワードで検索し、各商品のマクロ栄養素・アレルゲン・出典を返します。出典はメーカー表示・飲食店の栄養PDF・文部科学省食品成分データベース・推定値のいずれかで…

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Last commit

Aug 1, 2026 (2 months ago)

Last release

Aug 2, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name

io.github.mrslbt/tabedata-mcp

Version

1.5.0

Auth

No auth

Packages

npm tabedata-mcp

License

MIT

Repository

github.com/mrslbt/tabedata-mcp

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql