How do I find my nearest CO-OPS station?

Visit tidesandcurrents.noaa.gov/map to find your nearest station and its ID number. Major stations include 8518750 (NYC), 9414290 (San Francisco), 8723214 (Virginia Key, Miami).

CO-OPS stands for Center for Operational Oceanographic Products and Services, a branch of NOAA that manages a national network of coastal stations providing marine environmental data.

Can I get long-term sea level trends?

Yes, the API provides sea level rise trends calculated over decades of data, offering precise measurements of relative sea level changes in millimeters per year at specific coastal stations.

NOAA Marine — Tides, Currents & Coastal Data MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Name: NOAA Marine — Tides, Currents & Coastal Data
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NOAA Marine — Tides, Currents & Coastal Data through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="NOAA Marine — Tides, Currents & Coastal Data Assistant",
            instructions=(
                "You help users interact with NOAA Marine — Tides, Currents & Coastal Data. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from NOAA Marine — Tides, Currents & Coastal Data"
        )
        print(result.final_output)

asyncio.run(main())

NOAA Marine — Tides, Currents & Coastal Data

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About NOAA Marine — Tides, Currents & Coastal Data MCP Server

Complete US coastal data from NOAA's Center for Operational Oceanographic Products and Services.

The OpenAI Agents SDK auto-discovers all 6 tools from NOAA Marine — Tides, Currents & Coastal Data through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NOAA Marine — Tides, Currents & Coastal Data, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the NOAA Marine — Tides, Currents & Coastal Data MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from NOAA Marine — Tides, Currents & Coastal Data

Why Use OpenAI Agents SDK with the NOAA Marine — Tides, Currents & Coastal Data MCP Server

OpenAI Agents SDK provides unique advantages when paired with NOAA Marine — Tides, Currents & Coastal Data through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

NOAA Marine — Tides, Currents & Coastal Data + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the NOAA Marine — Tides, Currents & Coastal Data MCP Server delivers measurable value.

Automated workflows: build agents that query NOAA Marine — Tides, Currents & Coastal Data, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries NOAA Marine — Tides, Currents & Coastal Data, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through NOAA Marine — Tides, Currents & Coastal Data tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query NOAA Marine — Tides, Currents & Coastal Data to resolve tickets, look up records, and update statuses without human intervention

NOAA Marine — Tides, Currents & Coastal Data MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect NOAA Marine — Tides, Currents & Coastal Data to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting NOAA Marine — Tides, Currents & Coastal Data to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

NOAA Marine — Tides, Currents & Coastal Data + OpenAI Agents SDK FAQ

Common questions about integrating NOAA Marine — Tides, Currents & Coastal Data MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.