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Glama
erinheit451

Supplement Advisor MCP Server

by erinheit451

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
recommend_supplementA

Get evidence-based supplement recommendations for a specific condition. Returns ranked products with clinical evidence, dosing, cost-per-dose, and purchase links.

compare_formsA

Compare different forms of a supplement (e.g., magnesium glycinate vs citrate vs oxide). Shows absorption, best uses, warnings, and which form to buy.

check_interactionsA

Check if medications deplete nutrients, creating supplement needs. Returns depleted nutrients, mechanisms, severity, and recommended supplements.

get_dosageA

Get evidence-based dosage recommendations for a supplement, with clinical trial doses by condition, timing, and safety considerations.

classify_formA

Check if a supplement product uses a good or bad form. Paste any product name or ingredient list and get a quality verdict. Example: 'Nature Made Magnesium Oxide 250mg' → verdict: poor, absorption: ~4%, better alternative: glycinate.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: recommending supplements for conditions, comparing forms, checking medication-induced depletions, providing dosage info, and classifying product forms. No two tools overlap in function.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (recommend_supplement, compare_forms, check_interactions, get_dosage, classify_form). The verbs are descriptive and the pattern is uniform.

Tool Count5/5

Five tools is well-scoped for the domain, covering the key advisory workflows without bloat. Each tool addresses a distinct user need, making the set concise yet functional.

Completeness4/5

The tool set covers core workflows: condition-based recommendations, form comparisons, medication depletions, dosing, and product quality checks. A minor gap is lack of a tool for supplement-supplement interaction checking, but this is not a critical omission for the intended scope.

Maintenance

ActivitySlowing
ResponsivenessNo issues