NOAA Space Weather — Solar & Geomagnetic Intelligence 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 Space Weather — Solar & Geomagnetic Intelligence 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 Space Weather — Solar & Geomagnetic Intelligence. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in NOAA Space Weather — Solar & Geomagnetic Intelligence?"
)
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 Space Weather — Solar & Geomagnetic Intelligence MCP Server
Real-time space weather from NOAA's Space Weather Prediction Center.
LlamaIndex agents combine NOAA Space Weather — Solar & Geomagnetic Intelligence 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
- Kp Index — Current geomagnetic activity (aurora threshold)
- Kp Forecast — 3-day predictions
- Solar Wind — Speed (km/s) and Bz from DSCOVR satellite
- Aurora Forecast — Ovation probability model (global)
- Solar Flux — F10.7 solar activity proxy
- Dst Index — Ring current storm intensity
Who Needs This?
Aurora hunters, satellite operators, HF radio operators, power grid managers, airline operators (polar routes), and space enthusiasts.The NOAA Space Weather — Solar & Geomagnetic Intelligence 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 Space Weather — Solar & Geomagnetic Intelligence to LlamaIndex via MCP
Follow these steps to integrate the NOAA Space Weather — Solar & Geomagnetic Intelligence 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 Space Weather — Solar & Geomagnetic Intelligence
Why Use LlamaIndex with the NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server
LlamaIndex provides unique advantages when paired with NOAA Space Weather — Solar & Geomagnetic Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NOAA Space Weather — Solar & Geomagnetic Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NOAA Space Weather — Solar & Geomagnetic Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NOAA Space Weather — Solar & Geomagnetic Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NOAA Space Weather — Solar & Geomagnetic Intelligence tools were called, what data was returned, and how it influenced the final answer
NOAA Space Weather — Solar & Geomagnetic Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server delivers measurable value.
Hybrid search: combine NOAA Space Weather — Solar & Geomagnetic Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NOAA Space Weather — Solar & Geomagnetic Intelligence 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 Space Weather — Solar & Geomagnetic Intelligence for fresh data
Analytical workflows: chain NOAA Space Weather — Solar & Geomagnetic Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect NOAA Space Weather — Solar & Geomagnetic Intelligence to LlamaIndex via MCP:
get_aurora_forecast
Powered by real-time solar wind data. The gold standard for aurora forecasting worldwide. Get the aurora probability forecast map data (Ovation model)
get_dst_index
Measures the intensity of the ring current around Earth. Values below -50 nT indicate a moderate storm, below -100 nT a strong storm, below -250 nT a severe storm. Critical for satellite operators and power grid monitoring. Get the Dst index — real-time geomagnetic storm intensity
get_k_index_forecast
Use this to plan for aurora viewing, satellite vulnerabilities, or HF radio propagation impacts. Get the 3-day Kp index forecast — predicted geomagnetic activity
get_planetary_k_index
Kp ranges 0-9. Values ≥5 indicate geomagnetic storms with visible aurora at lower latitudes. Updated every 3 hours. Essential for aurora hunters, satellite operators, and power grid managers. Get the NOAA Planetary K-index — geomagnetic activity and aurora probability
get_solar_flux
7 solar flux index. Higher values (>100 SFU) indicate increased solar activity, more sunspots, and higher probability of solar flares and CMEs. Normal quiet-sun values are 70-80 SFU. Get the 10.7cm solar radio flux — a proxy for solar activity level
get_solar_wind
The solar wind drives geomagnetic storms — when speed exceeds 500 km/s with southward Bz, aurora probability increases dramatically. Get real-time solar wind speed and magnetic field conditions
Example Prompts for NOAA Space Weather — Solar & Geomagnetic Intelligence in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with NOAA Space Weather — Solar & Geomagnetic Intelligence immediately.
"Can I see the aurora tonight?"
"What is the current solar wind status?"
Troubleshooting NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server with LlamaIndex
Common issues when connecting NOAA Space Weather — Solar & Geomagnetic Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNOAA Space Weather — Solar & Geomagnetic Intelligence + LlamaIndex FAQ
Common questions about integrating NOAA Space Weather — Solar & Geomagnetic Intelligence 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 Space Weather — Solar & Geomagnetic Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Space Weather — Solar & Geomagnetic Intelligence to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
