Is an API Key required for NOAA Tides API?

No. The NOAA CO-OPS API is a free and open service provided by the United States government. This server works out of the box without any static credentials required.

Can the agent show air temperature at stations?

Yes. Use the `get_air_temperature` tool providing a station ID. Your agent will return real-time temperature metadata alongside the timestamp.

What data datum is used for predictions?

This server uses the Mean Lower Low Water (MLLW) datum for all water level and tide prediction requests to maintain consistency with nautical charts.

NOAA Tides & Currents API MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: NOAA Tides & Currents API
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NOAA Tides & Currents API through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Tides & Currents API "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in NOAA Tides & Currents API?"
    )
    print(result.data)

asyncio.run(main())

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About NOAA Tides & Currents API MCP Server

Empower your AI agent to orchestrate your entire maritime research and tidal auditing workflow with the NOAA Tides & Currents API, the authoritative source for United States coastal data. By connecting NOAA's Center for Operational Oceanographic Products and Services (CO-OPS) to your agent, you transform complex water level searches into a natural conversation. Your agent can instantly retrieve real-time water levels, audit high and low tide predictions, and query atmospheric metadata without you ever touching a technical portal. Whether you are planning maritime logistics or conducting coastal research, your agent acts as a real-time oceanographic consultant, ensuring your data is always verified and precise.

Pydantic AI validates every NOAA Tides & Currents API tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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

Water Level Auditing — Retrieve real-time water level data for thousands of NOAA stations and maintain a clear view of coastal changes.
Tide Oversight — Audit high and low tide predictions to understand the temporal distribution of maritime scale instantly.
Atmospheric Discovery — Query real-time air and water temperature metadata to assist in regional environmental planning.
Station Intelligence — Retrieve high-resolution details for specific NOAA station IDs to assist in deep-dive oceanographic classification.
Maritime Monitoring — Check API status to ensure your maritime research workflow is always operational.

The NOAA Tides & Currents API MCP Server exposes 5 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 Tides & Currents API to Pydantic AI via MCP

Follow these steps to integrate the NOAA Tides & Currents API 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 5 tools from NOAA Tides & Currents API with type-safe schemas

Why Use Pydantic AI with the NOAA Tides & Currents API MCP Server

Pydantic AI provides unique advantages when paired with NOAA Tides & Currents API 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 Tides & Currents API 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 Tides & Currents API connection logic from agent behavior for testable, maintainable code

NOAA Tides & Currents API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the NOAA Tides & Currents API MCP Server delivers measurable value.

Type-safe data pipelines: query NOAA Tides & Currents API with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple NOAA Tides & Currents API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query NOAA Tides & Currents API and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock NOAA Tides & Currents API responses and write comprehensive agent tests

NOAA Tides & Currents API MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect NOAA Tides & Currents API to Pydantic AI via MCP:

check_api_status

Check if the NOAA Tides & Currents service is operational

get_air_temperature

Get real-time air temperature data for a specific NOAA station

get_tide_predictions

Get high and low tide predictions for a specific NOAA station

get_water_levels

Get real-time water levels for a specific NOAA station

get_water_temperature

Get real-time water temperature data for a specific NOAA station

Example Prompts for NOAA Tides & Currents API in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with NOAA Tides & Currents API immediately.

"Get tide predictions for station '9414290' (San Francisco) for '20240510' using NOAA Tides."

"What is the current water temperature at station '8443970' (Boston)?"

"Show real-time water levels for station '9410660' (Los Angeles)."

Troubleshooting NOAA Tides & Currents API MCP Server with Pydantic AI

Common issues when connecting NOAA Tides & Currents API to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NOAA Tides & Currents API + Pydantic AI FAQ

Common questions about integrating NOAA Tides & Currents API MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your NOAA Tides & Currents API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.