How to Use the NASA Open Data MCP in CrewAI

Q: Can I restrict which CrewAI agents access NASA Open Data?

You can use MCPServerHTTP from crewai.mcp and apply a toolfilter. This lets you give the asteroid tools to your security agent while keeping them away from your research agent.

Deploy autonomous multi-agent teams in CrewAI to monitor NASA telemetry and space weather.

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Connect NASA Open Data MCP to CrewAI

Create your Vinkius account to connect NASA Open Data 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 Open Data with CrewAI

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Delegate Asteroid Risk Analysis

You assign `get_near_earth_objects_feed` to a dedicated monitoring agent that constantly scans the horizon. When it spots a potential hazard, it hands the object ID over to an analyst agent running `lookup_asteroid`. The analyst evaluates the orbital mechanics and writes a threat report. CrewAI handles the shared memory between these agents, letting them collaborate on planetary defense scenarios without human input.

Coordinate Mars Rover Data

A research agent uses `get_mars_rover_manifest` to identify high-value operational days for the Perseverance rover. It then delegates the actual image extraction to a secondary agent equipped with `get_mars_rover_photos`. This hierarchical execution means your primary agent stays focused on mission planning. The subordinate agent handles the heavy lifting of parsing image arrays and formatting the visual data for your final report.

Autonomous Space Weather MCP Server

Your meteorology crew pulls from `get_solar_flares` and `get_coronal_mass_ejections` to predict communication blackouts. The agents cross-reference the timestamps to verify if a solar flare caused a specific CME event. They operate in a continuous loop. The moderator agent watches the output, ensuring the crew doesn't hallucinate radiation spikes before escalating a warning to your satellite operations team.

Setup guide

Set up NASA Open Data 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 Open Data tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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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 Open Data Analyst",
        goal="Access and analyze NASA Open Data data via MCP.",
        backstory="Expert analyst with direct NASA Open Data access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent NASA Open Data 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 Open Data MCP in CrewAI

Pass the server URL directly into your agent definition using `mcps=["https://..."]`. CrewAI automatically negotiates the connection and makes the space tools available to that specific agent.

You can use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. This lets you give the asteroid tools to your security agent while keeping them away from your research agent.

Agents share a contextual memory pool. When the monitor agent fetches a solar flare record, the reporting agent can read that exact data structure to draft its summary.

Yes. The framework supports stdio, SSE, and Streamable HTTP transports. Your agents can process the asteroid feeds as they arrive over the network.

The integration only transmits the specific arguments required for tools like astronomy pictures or Earth polychromatic images. Your system prompts and agent instructions remain entirely isolated via the ephemeral zero-trust architecture.

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