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 AutoGen 6 tools — connect in under 2 minutes

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

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add NOAA Marine — Tides, Currents & Coastal Data as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="noaa_marine_tides_currents_coastal_data_agent",
            tools=tools,
            system_message=(
                "You help users with NOAA Marine — Tides, Currents & Coastal Data. "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

NOAA Marine — Tides, Currents & Coastal Data

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use NOAA Marine — Tides, Currents & Coastal Data tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 6 tools from NOAA Marine — Tides, Currents & Coastal Data automatically

Why Use AutoGen with the NOAA Marine — Tides, Currents & Coastal Data MCP Server

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

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use NOAA Marine — Tides, Currents & Coastal Data tools to solve complex tasks

Role-based architecture lets you assign NOAA Marine — Tides, Currents & Coastal Data tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive NOAA Marine — Tides, Currents & Coastal Data tool calls

Code execution sandbox: AutoGen agents can write and run code that processes NOAA Marine — Tides, Currents & Coastal Data tool responses in an isolated environment

NOAA Marine — Tides, Currents & Coastal Data + AutoGen Use Cases

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

Collaborative analysis: one agent queries NOAA Marine — Tides, Currents & Coastal Data while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from NOAA Marine — Tides, Currents & Coastal Data, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using NOAA Marine — Tides, Currents & Coastal Data data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process NOAA Marine — Tides, Currents & Coastal Data responses in a sandboxed execution environment

NOAA Marine — Tides, Currents & Coastal Data MCP Tools for AutoGen (6)

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

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

NOAA Marine — Tides, Currents & Coastal Data + AutoGen FAQ

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

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call NOAA Marine — Tides, Currents & Coastal Data tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.