NOAA Marine — Tides, Currents & Coastal Data MCP Server for Pydantic AI 6 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NOAA Marine — Tides, Currents & Coastal Data through 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 NOAA Marine — Tides, Currents & Coastal Data "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in NOAA Marine — Tides, Currents & Coastal Data?"
)
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 NOAA Marine — Tides, Currents & Coastal Data MCP Server
Complete US coastal data from NOAA's Center for Operational Oceanographic Products and Services.
Pydantic AI validates every NOAA Marine — Tides, Currents & Coastal Data tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through 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
- Water Levels — Real-time tides from 200+ stations
- Tide Predictions — Hi/lo tide forecasts
- Currents — Speed and direction
- Water Temperature — Coastal water temps
- Met Data — Air temp, wind, pressure at coastal stations
- Sea Level Trends — Decades of sea level rise data
The NOAA Marine — Tides, Currents & Coastal Data MCP Server exposes 6 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 NOAA Marine — Tides, Currents & Coastal Data to Pydantic AI via MCP
Follow these steps to integrate the NOAA Marine — Tides, Currents & Coastal Data 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 6 tools from NOAA Marine — Tides, Currents & Coastal Data with type-safe schemas
Why Use Pydantic AI with the NOAA Marine — Tides, Currents & Coastal Data MCP Server
Pydantic AI provides unique advantages when paired with NOAA Marine — Tides, Currents & Coastal Data 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 NOAA Marine — Tides, Currents & Coastal Data integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your NOAA Marine — Tides, Currents & Coastal Data connection logic from agent behavior for testable, maintainable code
NOAA Marine — Tides, Currents & Coastal Data + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the NOAA Marine — Tides, Currents & Coastal Data MCP Server delivers measurable value.
Type-safe data pipelines: query NOAA Marine — Tides, Currents & Coastal Data with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple NOAA Marine — Tides, Currents & Coastal Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query NOAA Marine — Tides, Currents & Coastal Data and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock NOAA Marine — Tides, Currents & Coastal Data responses and write comprehensive agent tests
NOAA Marine — Tides, Currents & Coastal Data MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect NOAA Marine — Tides, Currents & Coastal Data to Pydantic AI via MCP:
get_currents
Available at select CO-OPS stations with current meters. Get observed ocean current speed and direction at a US coastal station
get_meteorological
Complements water-level data for a complete coastal picture. Get coastal meteorological data: air temp, wind, pressure at a station
get_sea_level_trends
Shows long-term relative sea level trends calculated from decades of tide gauge data. Critical for climate research. Get long-term sea level rise trends for a US coastal station
get_tide_predictions
Provides predicted high and low tide times and heights. Useful for fishing, boating, coastal activities. Default is next 48 hours. Get tide predictions (hi/lo) for a US coastal station
get_water_levels
Data in meters relative to station datum. Provide a CO-OPS station ID (e.g., 8518750 for The Battery, NYC; 9414290 for San Francisco). Get observed water levels (tides) at a US coastal station
get_water_temperature
Useful for marine biology, fishing, surfing, and coastal research. Get water temperature at a US coastal station
Example Prompts for NOAA Marine — Tides, Currents & Coastal Data in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with NOAA Marine — Tides, Currents & Coastal Data immediately.
"What are the tide predictions for today at The Battery, NYC?"
"What is the current water temperature in San Francisco Bay?"
"Show me the sea level rise trend for Miami over the last 50 years."
Troubleshooting NOAA Marine — Tides, Currents & Coastal Data MCP Server with Pydantic AI
Common issues when connecting NOAA Marine — Tides, Currents & Coastal Data to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNOAA Marine — Tides, Currents & Coastal Data + Pydantic AI FAQ
Common questions about integrating NOAA Marine — Tides, Currents & Coastal Data 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 NOAA Marine — Tides, Currents & Coastal Data with your favorite client
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Connect NOAA Marine — Tides, Currents & Coastal Data to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.