NOAA Tides & Currents API MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NOAA Tides & Currents API as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to NOAA Tides & Currents API. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in NOAA Tides & Currents API?"
)
print(response)
asyncio.run(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 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.
LlamaIndex agents combine NOAA Tides & Currents API tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the NOAA Tides & Currents API MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the NOAA Tides & Currents API MCP Server
LlamaIndex provides unique advantages when paired with NOAA Tides & Currents API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NOAA Tides & Currents API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NOAA Tides & Currents API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NOAA Tides & Currents API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NOAA Tides & Currents API tools were called, what data was returned, and how it influenced the final answer
NOAA Tides & Currents API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NOAA Tides & Currents API MCP Server delivers measurable value.
Hybrid search: combine NOAA Tides & Currents API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NOAA Tides & Currents API to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying NOAA Tides & Currents API for fresh data
Analytical workflows: chain NOAA Tides & Currents API queries with LlamaIndex's data connectors to build multi-source analytical reports
NOAA Tides & Currents API MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect NOAA Tides & Currents API to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting NOAA Tides & Currents API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNOAA Tides & Currents API + LlamaIndex FAQ
Common questions about integrating NOAA Tides & Currents API MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect NOAA Tides & Currents API 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 Tides & Currents API to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.