What is the difference between DONKI and SWPC?

DONKI is NASA's historical database of space weather events with detailed analysis. SWPC (Space Weather Prediction Center, under NOAA) focuses on real-time monitoring and forecasting. They complement each other.

What happens during a Geomagnetic Storm?

Geomagnetic storms, triggered by solar activity, can cause auroras, disrupt satellite communications, affect GPS accuracy, and in extreme cases, induce currents that trip electrical grids.

How long does it take for a CME to reach Earth?

Coronal Mass Ejections typically take 1 to 5 days to reach Earth, depending on their speed, which can range from 250 km/s to over 3,000 km/s.

NASA DONKI — Space Weather Intelligence MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: NASA DONKI — Space Weather Intelligence
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to NASA DONKI — Space Weather Intelligence through Vinkius, pass the Edge URL in the `mcps` parameter and every NASA DONKI — Space Weather Intelligence tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="NASA DONKI — Space Weather Intelligence Specialist",
    goal="Help users interact with NASA DONKI — Space Weather Intelligence effectively",
    backstory=(
        "You are an expert at leveraging NASA DONKI — Space Weather Intelligence tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in NASA DONKI — Space Weather Intelligence "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About NASA DONKI — Space Weather Intelligence MCP Server

DONKI (Database Of Notifications, Knowledge, Information) is NASA's comprehensive space weather database.

When paired with CrewAI, NASA DONKI — Space Weather Intelligence becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NASA DONKI — Space Weather Intelligence tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the NASA DONKI — Space Weather Intelligence MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 7 tools from NASA DONKI — Space Weather Intelligence

Why Use CrewAI with the NASA DONKI — Space Weather Intelligence MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with NASA DONKI — Space Weather Intelligence through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

NASA DONKI — Space Weather Intelligence + CrewAI Use Cases

Practical scenarios where CrewAI combined with the NASA DONKI — Space Weather Intelligence MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries NASA DONKI — Space Weather Intelligence for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries NASA DONKI — Space Weather Intelligence, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain NASA DONKI — Space Weather Intelligence tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries NASA DONKI — Space Weather Intelligence against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

NASA DONKI — Space Weather Intelligence MCP Tools for CrewAI (7)

These 7 tools become available when you connect NASA DONKI — Space Weather Intelligence to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting NASA DONKI — Space Weather Intelligence to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

NASA DONKI — Space Weather Intelligence + CrewAI FAQ

Common questions about integrating NASA DONKI — Space Weather Intelligence MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.