MCP For Claude Marketplace
Glycemic Index Meal Calculator

Glycemic Index Meal Calculator MCP Connector for Claude

A+

Calculate the weighted average Glycemic Index of a meal based on ingredient proportions.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides tools to assess the glycemic impact of meals. Use calculate_weighted_gi to compute the total weighted average GI from a list of ingredients and their weights, categorize_impact_level to classify an index as Low, Medium, or High, and validate_ingredient_integrity to ensure ingredient data is valid for calculation.

glycemic-indexnutritiondietary-trackingblood-glucosemeal-planning

3 tools expose this connector's capabilities to your AI agent.

calculate_weighted_gi

Calculate the weighted average glycemic index of a meal

categorize_impact_level

Classify the glycemic impact level of a given GI value

validate_ingredient_integrity

Validate the integrity of an individual ingredient entry

See how to talk to your AI agent using Glycemic Index Meal Calculator.

What is the weighted glycemic index for a meal with 100g of white bread (GI: 75) and 200g of Greek yogurt (GI: 35)?

The calculated weighted average Glycemic Index for this meal is 48.33.

Is a glycemic index of 60 considered high impact?

A Glycemic Index of 60 is classified as Medium Impact.

Check if an ingredient with a GI of -5 and weight of 10 is valid.

The ingredient entry is invalid because the Glycemic Index must be a positive number.

Use the `calculate_weighted_gi` tool by providing a JSON array of ingredients, where each entry includes its `glycemicIndex` and `portionWeight`.

Related Connectors

SJ

Steve Jobs Vision Prover MCP

1 tools Official

A product had settings menus with 47 options and 15 integrations. This tool forces it to kill features, absorb complexity, and own the whole experience.

A+ View details →
ST

Systems Thinking Prover MCP

1 tools Official

AI thinks in straight lines. This engine is a 6-pivot cognitive trap that forces the LLM to map feedback loops, second-order effects, and bottlenecks before proposing any architectural change.

A+ View details →
FP

First Principles Prover MCP

1 tools Official

LLMs reason by analogy, copying industry norms. This engine is a 6-pivot cognitive trap that forces the agent to discard jargon and derive original solutions exclusively from physical, mathematical, or logical axioms.

A+ View details →
MS

Migration Strategy Prover MCP

1 tools Official

An AI recommended a big-bang database migration over the weekend. No dependency map — 7 services read from that database. No rollback plan — 'just restore from backup.' No data validation — 2.3 million records with timezone-dependent timestamps. The migration ran Saturday at 2 AM. By 4 AM, 3 downstream services were returning stale data, the backup was 6 hours old, and 14,000 customer records had corrupted timestamps. Monday morning: 72-hour incident. This tool forces risk assessment, rollback definition, data integrity verification, cutover planning, and stakeholder alignment.

A+ View details →