How do I get a NASA API key?

Visit [**api.nasa.gov**](https://api.nasa.gov) and sign up with your email — it's completely free. You'll receive an API key instantly. For quick testing, you can use `DEMO_KEY` which allows 30 requests/hour and 50/day. Registered keys get 1,000 requests/hour.

Can I get Mars rover photos from today?

Mars rovers don't take photos every Earth day due to communication delays and mission schedules. Use `get_mars_photos` with rover name 'curiosity' or 'perseverance' and an earth_date parameter. If no photos exist for that date, the API returns an empty list. Try recent dates or browse available dates with `get_mars_rovers`.

What are Near-Earth Objects (NEOs)?

NEOs are asteroids and comets whose orbits bring them close to Earth. NASA tracks them for planetary defense. Use `get_neo_feed` to see asteroid counts and data over a date range. Each NEO includes estimated diameter, velocity, miss distance, and whether it's classified as 'potentially hazardous'.

Can I search NASA's image library?

Yes! Use `search_nasa_library` with a free-text query (e.g. 'Apollo 11', 'Mars', 'ISS', 'Hubble'). It searches thousands of images, videos and audio files. Results include title, description, NASA center, media type and URL. Optionally set page number for pagination.

NASA MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: NASA
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to NASA through Vinkius, pass the Edge URL in the `mcps` parameter and every NASA 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 Specialist",
    goal="Help users interact with NASA effectively",
    backstory=(
        "You are an expert at leveraging NASA 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 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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About NASA MCP Server

Connect to NASA's open APIs through any AI agent and explore space science through natural conversation.

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

What you can do

Astronomy Picture of the Day — Fetch today's APOD or any historical image with title, explanation and media URL
Mars Rover Photos — Browse photos from Curiosity, Perseverance, Opportunity and Spirit rovers by date and camera
Earth Satellite Imagery — View Landsat 8 satellite imagery for any coordinate on Earth with date filtering
EPIC Earth Images — See full-disk Earth images from the DSCOVR satellite's Deep Space Camera
Near-Earth Objects — Track asteroids and their size, velocity and hazard rating over a date range
NASA Library Search — Search NASA's extensive image and video library with free-text queries
Patent & Technology Transfer — Search NASA patents and discover technologies available for licensing

The NASA MCP Server exposes 9 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 to CrewAI via MCP

Follow these steps to integrate the NASA 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 9 tools from NASA

Why Use CrewAI with the NASA MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with NASA 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 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the NASA MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries NASA 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, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain NASA 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 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

NASA MCP Tools for CrewAI (9)

These 9 tools become available when you connect NASA to CrewAI via MCP:

get_apod

If no date is specified, returns today's APOD. Optionally specify a single date, a date range (start_date and end_date), or a count of random APODs. Returns the image/video URL, title, explanation, copyright and date. This is one of NASA's most popular APIs. Get NASA Astronomy Picture of the Day (APOD)

get_earth_imagery

Requires longitude and latitude coordinates. Optionally specify a date (YYYY-MM-DD) to get imagery from a specific time. Returns the image URL and metadata. Useful for viewing geographic changes over time. Get satellite imagery of Earth from NASA

get_epic_images

Optionally specify a date (YYYY-MM-DD) and whether to use enhanced-color images (true) or natural-color (false, default). Returns image URLs, coordinates and acquisition time. Get Earth Polychromatic Imaging Camera (EPIC) images from NASA

get_mars_photos

Optionally filter by Earth date (YYYY-MM-DD), camera type (FHAZ, RHAZ, MAST, CHEMCAM, MAHLI, MARDI, NAVCAM, PANCAM, MINITES), and page number. Each photo includes the image URL, rover name, camera, Earth date and Mars sol date. Get Mars Rover photos from NASA

get_mars_rovers

Useful for discovering which rovers are active and when they last took photos. Get information about NASA Mars rovers

get_neo_feed

Optionally specify a start and end date (YYYY-MM-DD, max 7 days range). Returns asteroid count per day, estimated diameters, velocity, and whether they are potentially hazardous. Great for space awareness and planetary defense tracking. Get Near-Earth Object (NEO) feed from NASA

get_tech_transfer

Optionally filter by category (software, patent). Returns descriptions, contact information and availability status. Get NASA technology transfer information

search_nasa_library

Accepts a free-text query and returns matching media with titles, descriptions, NASA center information and media type (image, video, audio). Optionally set page number for pagination. This is the primary search endpoint for NASA media assets. Search the NASA Image and Video Library

search_patents

Requires a search query. Returns patent titles, numbers, abstracts and licensing availability. Useful for technology transfer and commercialization research. Search NASA patents

Example Prompts for NASA in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with NASA immediately.

"Show me today's Astronomy Picture of the Day."

"Show me photos taken by the Perseverance rover on Mars."

"Are there any potentially hazardous asteroids approaching Earth this week?"

Troubleshooting NASA MCP Server with CrewAI

Common issues when connecting NASA 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 + CrewAI FAQ

Common questions about integrating NASA 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.