NOAA Marine — Tides, Currents & Coastal Data MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect NOAA Marine — Tides, Currents & Coastal Data through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"noaa-marine-tides-currents-coastal-data": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "NOAA Marine — Tides, Currents & Coastal Data Agent",
instructions:
"You help users interact with NOAA Marine — Tides, Currents & Coastal Data " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with NOAA Marine — Tides, Currents & Coastal Data?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and NOAA Marine — Tides, Currents & Coastal Data tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the NOAA Marine — Tides, Currents & Coastal Data MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from NOAA Marine — Tides, Currents & Coastal Data via MCP
Why Use Mastra AI with the NOAA Marine — Tides, Currents & Coastal Data MCP Server
Mastra AI provides unique advantages when paired with NOAA Marine — Tides, Currents & Coastal Data through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add NOAA Marine — Tides, Currents & Coastal Data without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every NOAA Marine — Tides, Currents & Coastal Data tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
NOAA Marine — Tides, Currents & Coastal Data + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the NOAA Marine — Tides, Currents & Coastal Data MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query NOAA Marine — Tides, Currents & Coastal Data, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed NOAA Marine — Tides, Currents & Coastal Data as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query NOAA Marine — Tides, Currents & Coastal Data on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using NOAA Marine — Tides, Currents & Coastal Data tools alongside other MCP servers
NOAA Marine — Tides, Currents & Coastal Data MCP Tools for Mastra AI (6)
These 6 tools become available when you connect NOAA Marine — Tides, Currents & Coastal Data to Mastra 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 Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting NOAA Marine — Tides, Currents & Coastal Data to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpNOAA Marine — Tides, Currents & Coastal Data + Mastra AI FAQ
Common questions about integrating NOAA Marine — Tides, Currents & Coastal Data MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect NOAA Marine — Tides, Currents & Coastal Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NOAA Marine — Tides, Currents & Coastal Data to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.