Compatible with every major AI agent and IDE
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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Storm Glass Marine & Weather tool infrastructure. Connect 3 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Storm Glass Marine & Weather without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Storm Glass Marine & Weather tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Storm Glass Marine & Weather in Mastra AI
Storm Glass Marine & Weather and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Storm Glass Marine & Weather to Mastra 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 Mastra 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 Mastra 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 Mastra AI
Every tool call from Mastra 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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