vitamind-mcp

vitamind-mcp

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

Category
Visit Server

README

vitamind-mcp

Connect your AI assistant to Vitamin D Explorer — so it can answer, for your actual location and skin type, whether the sun can make vitamin D right now, how long you'd need, and which months of the year it's possible at all.

Generic advice says "get 15 minutes of sun". That answer is wrong most of the time: skin type I in London and skin type V in Madrid need completely different exposure, and above about 40° latitude there are months where synthesis is physically impossible no matter how long you stay out.

Try it

"I'm in Vilnius, skin type II. Can I make vitamin D today?"

"Which months of the year can I get vitamin D in London?"

"I was out 25 minutes at noon in Madrid, arms and legs bare — how much did I make?"

"When's golden hour in Lisbon on Friday?"

Install

Most clients can connect to the hosted server directly, with no install at all — see getvitamind.app/connect for per-client steps. Use this package when your client only launches local commands.

{
  "mcpServers": {
    "vitamind": {
      "command": "npx",
      "args": ["-y", "vitamind-mcp"]
    }
  }
}

That's the whole configuration. No API key, no account.

Tools

Six public tools, no account needed:

Tool Answers
search_city Find a city and its coordinates, in any of the app's six languages
get_sun_times Sunrise, sunset, solar noon, civil dawn/dusk, both golden hours, day length
get_vitamin_d_window The synthesis window for one day: minutes needed, best hour, UV peak
get_vitamin_d_year The whole year in one call: which months work, which don't
get_current_status Whether right now is a good moment, from live UV and cloud data
estimate_sun_session What a session produced — IU made, and minutes until burning

Four more read your saved profile, favourite cities and sun history if you sign in (get_my_profile, get_my_cities, get_my_history, log_sun_session). Those need OAuth, which this bridge does not implement — connect the account endpoint directly, or:

npx mcp-remote https://getvitamind.app/api/mcp-auth/mcp

What's behind the numbers

Not a lookup table. Every answer is computed from:

  • Solar geometry — NOAA declination and elevation formulas.
  • UV model — Madronich (2007) clear-sky UVI with van Heuklon ozone by latitude, longitude and season, plus an altitude correction (~8% per km — enough to change which months work for a city like Bogotá).
  • Vitamin D synthesis — Holick & Dowdy (2010), with MED by Fitzpatrick skin type (I-VI) and the Holick (1989) age factor. Sessions saturate: past roughly ⅓ MED you gain little and burn risk rises, and the tools say so.
  • Live weather — Open-Meteo UV index and cloud cover.

Threshold for any synthesis at all: UV index ≥ 3. Below that the answer is honestly "not today, consider supplementing" rather than a smaller number.

Configuration

--url <endpoint> Endpoint to bridge to. Default https://getvitamind.app/api/mcp/mcp
VITAMIND_MCP_URL Same, as an environment variable

How it works

A stdio↔HTTP relay, and nothing more. It forwards JSON-RPC messages verbatim between your client and the hosted server, so new tools appear without a release here. All the vitamin D logic lives in the hosted server — deliberately, since a second copy of the model in this package would drift from the app that people actually use.

Not medical advice

Estimates for healthy skin under clear-sky or forecast conditions. They ignore aerosols, ground reflectance, sunscreen and individual variation, and they are not a substitute for advice from a professional. Do not use them to plan an intentional burn.

Links

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured