Bring Marine Weather
to Pydantic AI
Learn how to connect Storm Glass Marine & Weather to Pydantic AI and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Storm Glass Marine & Weather MCP Server?
Equip your AI agent with high-resolution global weather and marine intelligence through the Storm Glass MCP server. This integration provides real-time and forecast data from the world's leading meteorological institutions (NOAA, MET Office, DWD, and more). Your agent can retrieve precise marine weather (wave height, swell, water temp), tide extremes, astronomical data (sun/moon), and oceanic bio data (chlorophyll, iron levels). Whether you are planning offshore operations, maritime shipping, or researching environmental trends, your agent acts as a dedicated oceanographer and meteorologist through natural conversation.
What you can do
- Marine Point Forecasts — Retrieve detailed wave and water data for any coordinate on Earth.
- Tide Intelligence — Fetch high and low tide times and heights for coastal planning.
- Astronomical Insights — Access sunrise, sunset, moon phases, and moonrise data.
- Oceanic Bio Data — Monitor chlorophyll and nutrient levels for environmental studies.
How it works
- Subscribe to this server
- Enter your Storm Glass API Key (get it at stormglass.io)
- Start querying global marine data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Maritime & Logistics Teams — optimize routes and safety based on real-time wave and tide data.
- Environmental Researchers — track oceanic bio-markers and climate trends over time.
- Offshore Engineers — verify conditions for construction and maintenance operations.
- Water Sports Enthusiasts — check swell and tide data for coastal activities.
Built-in capabilities (3)
Get sun and moon data
) for a specific coordinate. Get marine weather for a location
Get tide extremes for a location
Why Pydantic AI?
Pydantic AI validates every Storm Glass Marine & Weather tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Storm Glass Marine & Weather integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Storm Glass Marine & Weather connection logic from agent behavior for testable, maintainable code
Storm Glass Marine & Weather in Pydantic AI
Storm Glass Marine & Weather and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Storm Glass Marine & Weather to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Storm Glass Marine & Weather in Pydantic AI
The Storm Glass Marine & Weather MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 3 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Storm Glass Marine & Weather for Pydantic AI
Every tool call from Pydantic AI to the Storm Glass Marine & Weather MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I get the water temperature in the Mediterranean Sea?
Yes! Use the get_marine_weather tool and provide the latitude and longitude for the specific point in the Mediterranean. It will return the latest water temperature along with other marine data.
How can I check the tide schedule for a coastal city?
Use the get_tide_extremes tool with the coordinates of the target city. The response will provide the timestamps and heights for the next few high and low tide events.
Does this server provide sunrise and sunset times?
Yes. The get_astronomy_data tool retrieves sunrise, sunset, moonrise, and moonset times, as well as the current moon phase for any given location.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Storm Glass Marine & Weather MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai
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