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pipeworx-io

mcp-fruityvice

by pipeworx-io

mcp-fruityvice

Fruityvice MCP — wraps Fruityvice API (free, no auth)

Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.

Tools

Tool

Description

get_fruit

Get nutritional facts for a specific fruit. Returns calories, protein, fat, carbs, sugar, and fiber per 100g (e.g., 'apple', 'banana').

list_fruits

List all available fruits with their nutritional profiles. Returns name, calories, protein, fat, carbs, sugar, and fiber for each.

get_by_nutrition

Find fruits matching a nutritional range. Specify nutrient type (calories, sugar, fat, carbs, protein) and min/max values to filter results.

Related MCP server: Nutrition By Api Ninjas MCP Server

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "fruityvice": {
      "url": "https://gateway.pipeworx.io/fruityvice/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 1394+ data sources:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English:

ask_pipeworx({ question: "your question about Fruityvice data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

A
license - permissive license
Not graded
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

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  • F
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    Enables querying food nutritional information, discovering recipes by ingredients or diet type, getting ingredient substitutions, and receiving personalized food recommendations based on mood and season.
  • A
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    C
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    Provides access to the Nutrition By Api Ninjas API to extract detailed nutritional information from natural language food queries. It enables users to retrieve data such as calories, vitamins, and macros from text descriptions of meals.
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  • A
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    Enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the Spoonacular Food API using natural language.
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