NOAA Forecast — US Weather Predictions 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 Forecast — US Weather Predictions as an MCP tool provider through the 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 Forecast — US Weather Predictions. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in NOAA Forecast — US Weather Predictions?"
)
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 Forecast — US Weather Predictions MCP Server
Connect your AI agent to the official National Weather Service forecast engine.
LlamaIndex agents combine NOAA Forecast — US Weather Predictions 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
- 7-Day Forecast — Daily forecast with highs, lows, precipitation, and detailed narrative
- Hourly Forecast — 156 hours of hour-by-hour conditions
- Grid Data — Raw quantitative arrays: temperature, precipitation, wind, humidity
- Forecast Discussion — Technical AFD from NWS meteorologists at 122 offices
- Point Metadata — WFO assignment, grid coordinates, zone info
No API Key Required
Completely open. No registration needed.US Locations Only
The NWS API covers the United States, Puerto Rico, Guam, and US territories.The NOAA Forecast — US Weather Predictions 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 Forecast — US Weather Predictions to LlamaIndex via MCP
Follow these steps to integrate the NOAA Forecast — US Weather Predictions 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 Forecast — US Weather Predictions
Why Use LlamaIndex with the NOAA Forecast — US Weather Predictions MCP Server
LlamaIndex provides unique advantages when paired with NOAA Forecast — US Weather Predictions through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NOAA Forecast — US Weather Predictions tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NOAA Forecast — US Weather Predictions tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NOAA Forecast — US Weather Predictions, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NOAA Forecast — US Weather Predictions tools were called, what data was returned, and how it influenced the final answer
NOAA Forecast — US Weather Predictions + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NOAA Forecast — US Weather Predictions MCP Server delivers measurable value.
Hybrid search: combine NOAA Forecast — US Weather Predictions real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NOAA Forecast — US Weather Predictions 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 Forecast — US Weather Predictions for fresh data
Analytical workflows: chain NOAA Forecast — US Weather Predictions queries with LlamaIndex's data connectors to build multi-source analytical reports
NOAA Forecast — US Weather Predictions MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect NOAA Forecast — US Weather Predictions to LlamaIndex via MCP:
get_forecast
Provide latitude and longitude for any US location. Returns high/low temps, wind speed/direction, precipitation probability, and detailed narrative. Get 7-day weather forecast for a US location by latitude and longitude
get_forecast_discussion
Use the 3-letter WFO code (e.g., OKX=New York, LAX=Los Angeles, MFL=Miami). Lists recent product IDs — retrieve the latest for full text. Get the Area Forecast Discussion (AFD) from a NWS Weather Forecast Office
get_grid_data
Useful for programmatic analysis. US only. Get raw NWS grid weather data: temperature, precipitation, wind, humidity arrays
get_hourly_forecast
5 days. Includes temperature, wind, humidity, precipitation, and sky condition for each hour. US locations only. Get hour-by-hour weather forecast (156 hours) for a US location
get_point_metadata
US locations only. Get NWS metadata for a US location: responsible WFO, grid coordinates, zones
Example Prompts for NOAA Forecast — US Weather Predictions in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with NOAA Forecast — US Weather Predictions immediately.
"What's the weather forecast for New York City this week?"
"Get hourly forecast for Miami Beach"
Troubleshooting NOAA Forecast — US Weather Predictions MCP Server with LlamaIndex
Common issues when connecting NOAA Forecast — US Weather Predictions to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNOAA Forecast — US Weather Predictions + LlamaIndex FAQ
Common questions about integrating NOAA Forecast — US Weather Predictions 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 Forecast — US Weather Predictions to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.