Open-Meteo 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 Open-Meteo Marine Weather as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Open-Meteo Marine Weather. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Open-Meteo 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 Open-Meteo Marine Weather MCP Server
Turn your AI agent into a maritime weather specialist with real-time ocean data at 5km resolution.
LlamaIndex agents combine Open-Meteo 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.
What you can do
- Wave Forecasts — Wave height, period, direction, plus wind-wave and swell components separated
- Ocean Currents — Current velocity, direction, and sea surface temperature
- Daily Marine Summary — Max wave height, dominant wave direction, and dominant period aggregated daily
The Open-Meteo 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 Open-Meteo Marine Weather to LlamaIndex via MCP
Follow these steps to integrate the Open-Meteo 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 Open-Meteo Marine Weather
Why Use LlamaIndex with the Open-Meteo Marine Weather MCP Server
LlamaIndex provides unique advantages when paired with Open-Meteo Marine Weather through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Open-Meteo Marine Weather tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Open-Meteo Marine Weather tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Open-Meteo Marine Weather, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Open-Meteo Marine Weather tools were called, what data was returned, and how it influenced the final answer
Open-Meteo Marine Weather + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Open-Meteo Marine Weather MCP Server delivers measurable value.
Hybrid search: combine Open-Meteo Marine Weather real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Open-Meteo 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 Open-Meteo Marine Weather for fresh data
Analytical workflows: chain Open-Meteo Marine Weather queries with LlamaIndex's data connectors to build multi-source analytical reports
Open-Meteo Marine Weather MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Open-Meteo Marine Weather to LlamaIndex via MCP:
get_daily_marine
Get daily marine weather summary
get_marine_forecast
Provides hourly forecast data for maritime planning. Get marine wave forecast at 5km resolution
get_ocean_currents
Get ocean current velocity and sea surface temperature
Example Prompts for Open-Meteo Marine Weather in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Open-Meteo Marine Weather immediately.
"What are the wave conditions off the coast of Hawaii right now?"
"Is it safe to sail across the English Channel tomorrow?"
"What's the maximum wave height expected in the North Sea this week?"
Troubleshooting Open-Meteo Marine Weather MCP Server with LlamaIndex
Common issues when connecting Open-Meteo Marine Weather to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOpen-Meteo Marine Weather + LlamaIndex FAQ
Common questions about integrating Open-Meteo 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 Open-Meteo 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 Open-Meteo Marine Weather to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.