How to Use the NASA Exoplanets — Worlds Beyond Our Solar System MCP in CrewAI

Q: How do I link NASA Exoplanets — Worlds Beyond Our Solar System to my CrewAI agents?

Pass the server URL in the mcps parameter of your Agent definition. The crew will automatically gain access to all four tools.

Q: How do I limit tool access for CrewAI agents?

Use the toolfilter option in the CrewAI MCP config. This ensures each agent only sees the tools relevant to its specific role.

Deploy a specialized agent crew to scan the galaxy using NASA Exoplanets — Worlds Beyond Our Solar System and CrewAI.

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Connect NASA Exoplanets — Worlds Beyond Our Solar System MCP to CrewAI

Create your Vinkius account to connect NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System with CrewAI

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Perplexity

Specialized discovery research

Assign a researcher agent to `query_confirmed_planets` while an analyst agent processes the results. This allows your crew to focus on high-priority targets. Each agent operates independently but shares the context of your mission. This keeps your search focused on specific orbital periods or discovery facilities.

Transit mission monitoring

Set a dedicated monitoring agent to poll `get_transit_planets` for new additions. When the agent finds a new Kepler entry, it notifies the rest of the crew. This creates a loop of autonomous discovery. You define the crew roles and the server provides the data they need to act.

Global statistics reporting

Task your lead agent with using `get_planet_stats` to generate regular summaries. The crew can then summarize these trends for your final reports. It removes the chore of manual data collection. Your agents handle the extraction and formatting, leaving you to review the final output.

Setup guide

Set up NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System Analyst",
        goal="Access and analyze NASA Exoplanets — Worlds Beyond Our Solar System data via MCP.",
        backstory="Expert analyst with direct NASA Exoplanets — Worlds Beyond Our Solar System access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System MCP in CrewAI

Pass the server URL in the `mcps` parameter of your Agent definition. The crew will automatically gain access to all four tools.

Yes. You can pass the output of one tool call as input to the next agent in your sequence. This is perfect for multi-stage research workflows.

Use the tool_filter option in the CrewAI MCP config. This ensures each agent only sees the tools relevant to its specific role.

It stays within your agent's memory for the duration of the task. Once the mission completes, the data is cleared from the volatile sandbox.

We secure all connections to the server with standard TLS. Your agent's interaction with the planetary data remains private and isolated.

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