Food Recipe Mcp

io.github.AIDataNordic由 GitHub 帳號 AIDataNordic 發布v1.0.1更新於 Nov 2, 2026

Semantic search across 50,000+ food recipes with hybrid retrieval and reranking.

已驗證Streamable HTTP可網頁執行位置與生活網頁搜尋與抓取

概覽

AI 產生的概覽

遠端 MCP 伺服器，讓助理依自然語言、飲食類型、時間與難度搜尋約 5 萬筆 Food.com 食譜。

可以做什麼
  • 以混合語意檢索加重新排序搜尋食譜，可依飲食類型、最長烹調時間與難度篩選
  • 讀取回傳的食譜細節：食材、步驟、份量、總時間、主要食材與飲食標籤
  • 查看每份營養資訊（熱量、脂肪、蛋白質、碳水、鈉、纖維、糖）以及使用者評分與評分人數
  • 用簡單的 ping 問候測試伺服器連線
適用情境
適合需要助理從大型公開食譜資料庫推薦或查找料理的情境，例如膳食規劃、依飲食限制篩選，或以英文、挪威文回答烹飪問題。
執行需求
需要一個遠端 streamable-HTTP 端點；無需安裝、帳號、API 金鑰或設定。用戶端須支援 streamable HTTP 傳輸並能連線至該端點。
安裝前請注意
僅提供唯讀的搜尋與查詢，不會寫入或變更資料。查詢內容會傳送至第三方託管服務，請勿在搜尋文字中放入個人或敏感資訊。食譜資料來自 Food.com，評分與營養數值未經查證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Food Recipe Mcp，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.AIDataNordic%2Ffood-recipe-mcp/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "food-recipe": {
      "type": "http",
      "url": "https://recipes.aidatanorge.no/mcp"
    }
  }
}

README

Food Recipe MCP

Semantic search over 50,000+ food recipes — built for AI agents and LLMs. Two-stage hybrid retrieval (dense + sparse BM25, fused via RRF) with cross-encoder reranking. Supports natural language queries in Norwegian and English.

Live endpoint: https://recipes.aidatanorge.no/mcp
Transport: streamable-http
Demo: https://recipes.aidatanorge.no/

Connect

Add to your MCP client config:

json
{  "mcpServers": {    "food-recipe": {      "type": "streamable-http",      "url": "https://recipes.aidatanorge.no/mcp"    }  }}

Or with Claude Code:

bash
claude mcp add --transport http food-recipe https://recipes.aidatanorge.no/mcp

Quick Test

Try the live demo in your browser:
https://recipes.aidatanorge.no/

No installation or configuration needed.

MCP Tools

search_recipes

Semantic search over 50,000+ recipes from Food.com with hybrid retrieval and reranking.

python
search_recipes(    query="quick Italian pasta for weeknight dinner",    diet="vegetarian",      # vegetarian | vegan | gluten-free | dairy-free | low-carb | keto | paleo    max_minutes=30,         # maximum total cooking time in minutes    difficulty="easy",      # easy | medium | hard    limit=5                 # default 5, max 20)# Returns: rerank_score, rrf_score, title, description, total_time, difficulty,#          diet, main_ingredient, servings, ingredients, instructions, nutrition,#          rating, rating_count, source, recipe_id

Query examples:

  • "Swedish meatballs with gravy"
  • "healthy high-protein chicken bowl"
  • "easy chocolate cake for beginners"
  • "traditional Norwegian kjøttkaker"
  • "hurtig pasta med kylling"

Search pipeline: Dense embedding (intfloat/e5-large-v2, 1024d) + sparse BM25, fused via Reciprocal Rank Fusion (RRF), reranked by mmarco-mMiniLMv2-L12-H384-v1.

ping

python
ping(name="world")# Returns: "Hello world! Recipe MCP server is running."

Data

  • Source: Food.com (~50,000 recipes)
  • Coverage: Wide range of cuisines, meal types, and cooking styles
  • Nutritional data: calories, fat, protein, carbohydrates, sodium, fiber, sugar per serving
  • Ratings: user rating + rating count per recipe
  • Languages: English and Norwegian supported natively in queries

Architecture

Food.com recipes → Python ingest → Qdrant (recipe_data_v2 collection)                                         ↓                              Hybrid search (dense e5-large-v2 + sparse BM25)                                         ↓                              RRF fusion + cross-encoder reranking                                         ↓                              FastMCP 3.2 → MCP clients / AI agents

Technical Stack

  • Embeddings: intfloat/e5-large-v2 (1024d dense) + Qdrant/bm25 (sparse)
  • Reranker: cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
  • Vector DB: Qdrant (self-hosted)
  • Server: FastMCP 3.2 over HTTP
  • Infrastructure: Ubuntu Server 24 LTS, Cloudflare Tunnel

License

MIT

來源：README.md，提交 b0da109

工具

2

ping

Simple connectivity test. Returns a greeting to confirm the server is running.

輸入參數name

search_recipes

Search a database of recipes using hybrid semantic search (dense + sparse) with reranking. The database contains ~50,000 recipes from Food.com covering a wide range of cuisines, meal types, and cooking styles. Recipes include nutritional information, difficulty ratings, and user ratings. Use natural language in the query to describe what you are looking for — cuisine, style, main ingredient, occasion, or mood all work well. Norwegian and English are both supported natively. Examples: 'quick Italian pasta for weeknight dinner' 'Swedish meatballs with gravy' 'healthy high-protein chicken bowl' 'easy chocolate cake for beginners' 'something with salmon and lemon' 'Indian curry chicken' 'traditional Norwegian kjøttkaker' 'hurtig pasta med kylling' 'enkel sjokoladekake' Args: query: What you are looking for — describe the dish, cuisine, main ingredient, cooking style or mood freely. Any language is supported. diet: Optional — filter by dietary requirement: 'vegetarian', 'vegan', 'gluten-free', 'dairy-free', 'low-carb', 'keto', 'paleo' max_minutes: Optional — maximum total time in minutes, e.g. 30 difficulty: Optional — 'easy', 'medium' or 'hard' servings: Optional — not used for filtering (servings vary), but include in query for scaling context, e.g. 'pasta dish for 6 people' limit: Number of results to return after reranking (default 5, max 20) Returns: List of recipes ranked by relevance. Each result includes rerank_score, rrf_score (hybrid fusion), title, total_time, difficulty, diet labels, ingredients, instructions, nutrition, rating, and source URL context.

輸入參數dietlimitquery必填servingsdifficultymax_minutes

版本歷史

1
  1. v1.0.1最新Sep 16, 2026

評分

已滿足適用檢查項的 100%

該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。

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  • 圖示10 分
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