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 CrewAI 6 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to NOAA Marine — Tides, Currents & Coastal Data through Vinkius, pass the Edge URL in the `mcps` parameter and every NOAA Marine — Tides, Currents & Coastal Data tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="NOAA Marine — Tides, Currents & Coastal Data Specialist",
    goal="Help users interact with NOAA Marine — Tides, Currents & Coastal Data effectively",
    backstory=(
        "You are an expert at leveraging NOAA Marine — Tides, Currents & Coastal Data tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in NOAA Marine — Tides, Currents & Coastal Data "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

NOAA Marine — Tides, Currents & Coastal Data

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* 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.

When paired with CrewAI, NOAA Marine — Tides, Currents & Coastal Data becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NOAA Marine — Tides, Currents & Coastal Data tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from NOAA Marine — Tides, Currents & Coastal Data

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with NOAA Marine — Tides, Currents & Coastal Data through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

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

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

Automated multi-step research: a reconnaissance agent queries NOAA Marine — Tides, Currents & Coastal Data for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries NOAA Marine — Tides, Currents & Coastal Data, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain NOAA Marine — Tides, Currents & Coastal Data tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries NOAA Marine — Tides, Currents & Coastal Data against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

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

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

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

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.