NOAA Marine — Tides, Currents & Coastal Data MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NOAA Marine — Tides, Currents & Coastal Data as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Marine — Tides, Currents & Coastal Data. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in NOAA Marine — Tides, Currents & Coastal Data?"
)
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 Marine — Tides, Currents & Coastal Data MCP Server
Complete US coastal data from NOAA's Center for Operational Oceanographic Products and Services.
LlamaIndex agents combine NOAA Marine — Tides, Currents & Coastal Data tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through 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 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 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 Marine — Tides, Currents & Coastal Data to LlamaIndex via MCP
Follow these steps to integrate the NOAA Marine — Tides, Currents & Coastal Data 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 6 tools from NOAA Marine — Tides, Currents & Coastal Data
Why Use LlamaIndex with the NOAA Marine — Tides, Currents & Coastal Data MCP Server
LlamaIndex provides unique advantages when paired with NOAA Marine — Tides, Currents & Coastal Data through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NOAA Marine — Tides, Currents & Coastal Data tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NOAA Marine — Tides, Currents & Coastal Data tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NOAA Marine — Tides, Currents & Coastal Data, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NOAA Marine — Tides, Currents & Coastal Data tools were called, what data was returned, and how it influenced the final answer
NOAA Marine — Tides, Currents & Coastal Data + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NOAA Marine — Tides, Currents & Coastal Data MCP Server delivers measurable value.
Hybrid search: combine NOAA Marine — Tides, Currents & Coastal Data real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NOAA Marine — Tides, Currents & Coastal Data 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 Marine — Tides, Currents & Coastal Data for fresh data
Analytical workflows: chain NOAA Marine — Tides, Currents & Coastal Data queries with LlamaIndex's data connectors to build multi-source analytical reports
NOAA Marine — Tides, Currents & Coastal Data MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect NOAA Marine — Tides, Currents & Coastal Data to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting NOAA Marine — Tides, Currents & Coastal Data to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNOAA Marine — Tides, Currents & Coastal Data + LlamaIndex FAQ
Common questions about integrating NOAA Marine — Tides, Currents & Coastal Data 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?
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Connect NOAA Marine — Tides, Currents & Coastal Data to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.