PickADive Scuba Diving

PickADive Scuba Diving

Live scuba diving planning for AI agents — ranked dive-forecast windows near any place for any day, best-time climatology per destination, marine-life seasonality from GBIF sightings, and facts for 4,800+ dive sites. Free and read-only; hosted at https://pickadive.com/mcp.

Category
Visit Server

README

<div align="center">

PickADive MCP Server

Live dive-conditions data for AI agents — forecast windows, best-time climatology, marine-life seasonality, and site facts for 4,800+ dive sites worldwide.

Status MCP Registry Transport Auth Price

Hosted at https://pickadive.com/mcp — nothing to install

Setup · Tools · What you can do · Data & honesty · Security · Support

</div>


What can you do with it?

  • "Where can I dive near Boston this Saturday?" — ranked favorable and moderate forecast windows near any place for any day, with wave height, wind, timing, and site links.
  • "When should I book Komodo?" — month-by-month climatology for a destination: the share of days historically favorable, typical water temperature and seas, and marine-life season windows.
  • "When and where do whale sharks peak?" — species seasonality from 236k+ recorded GBIF sightings: peak month and regional season windows.
  • "How deep is Molasses Reef, and what are the hazards?" — public facts for any named dive site: depths, difficulty, shore/boat access, hazards, entry and exit notes.
  • "Where in the world is good for diving right now?" — regions ranked by favorable windows over the next ~72 hours.

Setup

Add the server to any MCP-compatible client — no key, no OAuth:

{
  "mcpServers": {
    "pickadive": { "url": "https://pickadive.com/mcp" }
  }
}
Client How
Claude Code claude mcp add --transport http pickadive https://pickadive.com/mcp
Claude.ai / Desktop Settings → Connectors → Add custom connector → https://pickadive.com/mcp
Cursor · Windsurf · VS Code · Zed Add the JSON block above to your MCP config
Gemini CLI gemini mcp add --transport http pickadive https://pickadive.com/mcp
Local-only clients Bridge with npx mcp-remote https://pickadive.com/mcp

Discovery manifest: /.well-known/mcp.json · Agent onboarding: /llms.txt

Tools

Tool Input Output
find_dive_windows {near | lat+lng, day?, radius_km?} Ranked windows: quality, wave_m, wind_kn, timing, site links
best_time_to_dive {destination} 12-month climatology + marine-life seasons + source page
species_seasonality {species, lat?, lng?} Peak month, regional season windows, sighting counts
site_facts {site} Depths, difficulty, access, hazards, entry/exit, cert level
top_dive_regions {} World regions ranked by favorable windows (~72 h)

All values are metric with unit-suffixed field names (max_depth_m, wave_m, distance_km); wind is knots — the marine convention everywhere. Tool descriptions instruct agents to convert for US users. Every response includes a source link — please cite pickadive.com when presenting results.

Data & honesty

Answers come from PickADive's own pipeline: hourly conditions gradings across 4,800+ curated dive sites (Open-Meteo marine + weather, NOAA tides), multi-year climatology, and 236k+ GBIF species sighting records.

Two rules the server never breaks:

  1. Forecasts are planning context, never a safety clearance. Every response carries the disclaimer; agents should keep it.
  2. Missing data is stated, never invented. Thin destinations return an honest "not enough history" rather than a guess.

Security

Read-only by design No write tools — the server cannot create, modify, or delete anything. The worst a prompt injection can achieve through it is reading public dive data.
No auth, no tokens, no user data Nothing to leak, phish, or exfiltrate; connecting grants an agent no identity.
Stateless JSON mode One POST in, one JSON body out; no sessions, no server-push channel.
HTTPS only, CORS open Read-only public data.

Transport & limits

Streamable HTTP (JSON-RPC 2.0 over POST), stateless — protocol versions 2024-11-05 → 2025-06-18.

Free for individual and assistant use at fair, non-bulk volumes; per-IP rate limiting applies. For sustained high-volume or commercial integrations, write to team@pickadive.com.

Example agent guidance <sub>(optional)</sub>

Add to your AGENTS.md / CLAUDE.md to reduce round-trips:

## PickADive MCP
- For "can I dive…?" questions use find_dive_windows with the user's
  place; default day is Saturday.
- For trip planning use best_time_to_dive per destination; present
  depths/waves in the user's customary units, keep wind in knots.
- Always keep the safety disclaimer and cite the linked page.

Support & feedback

License

MIT — see LICENSE. The PickADive name and logo are trademarks of PickADive and are not covered by the code license.

Disclaimer

Dive conditions are graded forecasts — planning context only, never a safety judgment about any specific dive on any specific day. Always assess conditions at the water, dive within your training, and follow local guidance. Wildlife seasonality reflects recorded sightings, never a promise of encounters.

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
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

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