Storm Glass Marine & Weather MCP Server for Pydantic AI 3 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Storm Glass Marine & Weather through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Storm Glass Marine & Weather "
"(3 tools)."
),
)
result = await agent.run(
"What tools are available in Storm Glass Marine & Weather?"
)
print(result.data)
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.
Pydantic AI validates every Storm Glass Marine & Weather tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through the 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.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Storm Glass Marine & Weather MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Storm Glass Marine & Weather MCP Server
Pydantic AI provides unique advantages when paired with Storm Glass Marine & Weather through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Storm Glass Marine & Weather integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Storm Glass Marine & Weather connection logic from agent behavior for testable, maintainable code
Storm Glass Marine & Weather + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Storm Glass Marine & Weather MCP Server delivers measurable value.
Type-safe data pipelines: query Storm Glass Marine & Weather with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Storm Glass Marine & Weather tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Storm Glass Marine & Weather and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Storm Glass Marine & Weather responses and write comprehensive agent tests
Storm Glass Marine & Weather MCP Tools for Pydantic AI (3)
These 3 tools become available when you connect Storm Glass Marine & Weather to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Storm Glass Marine & Weather to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiStorm Glass Marine & Weather + Pydantic AI FAQ
Common questions about integrating Storm Glass Marine & Weather MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.