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.
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.
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:
- Forecasts are planning context, never a safety clearance. Every response carries the disclaimer; agents should keep it.
- 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
- Issues, requests, corrections: team@pickadive.com
- Documentation: pickadive.com/developers
- The dataset behind the tools: pickadive.com/research · pickadive.com/trust
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.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。