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 LlamaIndex?
LlamaIndex agents combine Storm Glass Marine & Weather tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Storm Glass Marine & Weather tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Storm Glass Marine & Weather tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Storm Glass Marine & Weather, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Storm Glass Marine & Weather tools were called, what data was returned, and how it influenced the final answer
Storm Glass Marine & Weather in LlamaIndex
Storm Glass Marine & Weather and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Storm Glass Marine & Weather to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Storm Glass Marine & Weather tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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