NASA DONKI — Space Weather Intelligence MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect NASA DONKI — Space Weather Intelligence through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"nasa-donki-space-weather-intelligence": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using NASA DONKI — Space Weather Intelligence, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 NASA DONKI — Space Weather Intelligence MCP Server
DONKI (Database Of Notifications, Knowledge, Information) is NASA's comprehensive space weather database.
LangChain's ecosystem of 500+ components combines seamlessly with NASA DONKI — Space Weather Intelligence through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
7 Event Types
- ☀️ CME — Coronal Mass Ejections
- 🔥 Solar Flares — C, M, X class
- 🧲 Geomagnetic Storms — Kp ≥ 4
- 💥 Interplanetary Shocks
- ⚡ Solar Energetic Particles
- 🛡️ Radiation Belt Events
- 📡 All Notifications (unified feed)
The NASA DONKI — Space Weather Intelligence MCP Server exposes 7 tools through the Vinkius. Connect it to LangChain 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 NASA DONKI — Space Weather Intelligence to LangChain via MCP
Follow these steps to integrate the NASA DONKI — Space Weather Intelligence MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 7 tools from NASA DONKI — Space Weather Intelligence via MCP
Why Use LangChain with the NASA DONKI — Space Weather Intelligence MCP Server
LangChain provides unique advantages when paired with NASA DONKI — Space Weather Intelligence through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine NASA DONKI — Space Weather Intelligence MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across NASA DONKI — Space Weather Intelligence queries for multi-turn workflows
NASA DONKI — Space Weather Intelligence + LangChain Use Cases
Practical scenarios where LangChain combined with the NASA DONKI — Space Weather Intelligence MCP Server delivers measurable value.
RAG with live data: combine NASA DONKI — Space Weather Intelligence tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query NASA DONKI — Space Weather Intelligence, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain NASA DONKI — Space Weather Intelligence tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every NASA DONKI — Space Weather Intelligence tool call, measure latency, and optimize your agent's performance
NASA DONKI — Space Weather Intelligence MCP Tools for LangChain (7)
These 7 tools become available when you connect NASA DONKI — Space Weather Intelligence to LangChain via MCP:
get_cme
CMEs are massive bursts of solar wind and magnetic fields from the Sun. Earth-directed CMEs cause geomagnetic storms and aurora. Default: last 30 days. Get Coronal Mass Ejection (CME) events from NASA DONKI
get_donki_notifications
A unified feed of all space weather events: CMEs, flares, storms, shocks, and radiation events. Good for a quick overview of recent solar activity. Get all recent DONKI space weather notifications
get_geomagnetic_storms
Includes Kp index and linked CME/shock data. Storms above Kp=7 are severe, Kp=9 is extreme. Affects power grids, GPS, satellites, and enables aurora at low latitudes. Get geomagnetic storm events from NASA DONKI
get_interplanetary_shocks
Shocks often precede geomagnetic storms and are caused by CME-driven disturbances in the solar wind. Get interplanetary shock wave events from NASA DONKI
get_radiation_belt
The Van Allen radiation belts can be energized during geomagnetic storms, posing risks to satellites in medium Earth orbit. Get radiation belt enhancement events from NASA DONKI
get_solar_energetic_particles
SEPs are dangerous to astronauts and can damage satellite electronics. Get Solar Energetic Particle (SEP) events from NASA DONKI
get_solar_flares
Classes: C (common), M (moderate), X (extreme). X-class flares cause radio blackouts and satellite disruption. Includes begin/peak/end times, active region, and instruments that detected it. Get solar flare events by class (C, M, X) from NASA DONKI
Example Prompts for NASA DONKI — Space Weather Intelligence in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with NASA DONKI — Space Weather Intelligence immediately.
"Were there any solar flares this month?"
"Were there any major geomagnetic storms last year?"
"Check if any interplanetary shocks are approaching."
Troubleshooting NASA DONKI — Space Weather Intelligence MCP Server with LangChain
Common issues when connecting NASA DONKI — Space Weather Intelligence to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNASA DONKI — Space Weather Intelligence + LangChain FAQ
Common questions about integrating NASA DONKI — Space Weather Intelligence MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect NASA DONKI — Space Weather Intelligence with your favorite client
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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 NASA DONKI — Space Weather Intelligence to LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
