Storm Glass Marine & Weather MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Storm Glass Marine & Weather as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Storm Glass Marine & Weather. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Storm Glass Marine & Weather?"
)
print(response)
asyncio.run(main())
* 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
About 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.
LlamaIndex agents combine Storm Glass Marine & Weather tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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.
The Storm Glass Marine & Weather MCP Server exposes 3 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Storm Glass Marine & Weather to LlamaIndex via MCP
Follow these steps to integrate the Storm Glass Marine & Weather MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from Storm Glass Marine & Weather
Why Use LlamaIndex with the Storm Glass Marine & Weather MCP Server
LlamaIndex provides unique advantages when paired with Storm Glass Marine & Weather through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Storm Glass Marine & Weather tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Storm Glass Marine & Weather tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Storm Glass Marine & Weather, a vector store, and a SQL database in a single turn and synthesize results
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 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Storm Glass Marine & Weather MCP Server delivers measurable value.
Hybrid search: combine Storm Glass Marine & Weather real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Storm Glass Marine & Weather to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Storm Glass Marine & Weather for fresh data
Analytical workflows: chain Storm Glass Marine & Weather queries with LlamaIndex's data connectors to build multi-source analytical reports
Storm Glass Marine & Weather MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Storm Glass Marine & Weather to LlamaIndex via MCP:
get_astronomy_data
Get sun and moon data
get_marine_weather
) for a specific coordinate. Get marine weather for a location
get_tide_extremes
Get tide extremes for a location
Example Prompts for Storm Glass Marine & Weather in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Storm Glass Marine & Weather immediately.
"Check the wave height and water temp for Honolulu (21.3069, -157.8583)."
"What are the high and low tide times for London Bridge today?"
"Get the current sunrise and moon phase for Rio de Janeiro."
Troubleshooting Storm Glass Marine & Weather MCP Server with LlamaIndex
Common issues when connecting Storm Glass Marine & Weather to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpStorm Glass Marine & Weather + LlamaIndex FAQ
Common questions about integrating Storm Glass Marine & Weather MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Storm Glass Marine & Weather with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Storm Glass Marine & Weather to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.