How to Use the NASA MCP in CrewAI

Deploy collaborative agent teams using CrewAI and this NASA MCP Server to analyze telemetry, Mars imagery, and patent databases.

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Connect NASA MCP to CrewAI

Create your Vinkius account to connect NASA to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NASA with CrewAI

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Coordinate Mars rover research with CrewAI

`get_mars_rovers` provides operational status and metadata for active rovers on the red planet. It lets your crew know which cameras are online and when the last photos were taken. In a CrewAI setup, one agent can query this list while another uses `get_mars_photos` to pull actual imagery. The agents share context to build a complete visual log of recent rover activity.

Track asteroids using a collaborative MCP Server

`get_neo_feed` delivers a daily breakdown of near-Earth objects, including size estimates and hazard ratings. This tool forms the foundation of automated space monitoring. You can assign a research agent to fetch the daily feed, while an analyst agent flags hazardous objects. A third agent can then write a summary report based on the shared memory.

Analyze space tech transfer opportunities

`get_tech_transfer` searches NASA's catalog of software and patent metadata available for public or commercial use. The tool returns descriptions, contact info, and licensing rules. Your crew can cross-reference these listings with `search_patents` to identify commercial opportunities. This allows your agents to run market research without human intervention.

Setup guide

Set up NASA MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke NASA tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="NASA Analyst",
    goal="Access and analyze NASA data via MCP.",
    backstory="Expert analyst with direct NASA access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent NASA transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="NASA Analyst",
        goal="Access and analyze NASA data via MCP.",
        backstory="Expert analyst with direct NASA access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent NASA transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NASA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about NASA MCP in CrewAI

You can pass the HTTP endpoint URL directly into the agent's `mcps` parameter. For advanced control, use `MCPServerHTTP` from the CrewAI MCP library to filter which tools are exposed.

Yes, CrewAI's shared memory allows agents to pass outputs. For example, one agent can find a date using `get_apod` and pass it to another for analysis.

CrewAI agents use their built-in reasoning to retry failed calls or adjust parameters. If a date range is too wide, they will automatically narrow down the request.

No, Vinkius handles all the authentication. Your CrewAI setup only needs a single endpoint token to authorize all nine space tools.

Every transaction travels through TLS-encrypted tunnels directly to NASA's public endpoints. Vinkius operates a zero-trust environment, meaning your coordinates and search queries never touch persistent disks.

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