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NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server for LlamaIndex 5 tools — connect in under 2 minutes

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NASA Asteroids — Near-Earth Objects & Planetary Defense as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to NASA Asteroids — Near-Earth Objects & Planetary Defense. "
            "You have 5 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in NASA Asteroids — Near-Earth Objects & Planetary Defense?"
    )
    print(response)

asyncio.run(main())
NASA Asteroids — Near-Earth Objects & Planetary Defense
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IAMAccess control
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server

Complete asteroid intelligence from NASA's NeoWs API and JPL's Center for Near Earth Object Studies (CNEOS).

LlamaIndex agents combine NASA Asteroids — Near-Earth Objects & Planetary Defense tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • NEO Feed — Asteroids making close approaches this week
  • Asteroid Details — Size, orbit, velocity, hazard assessment
  • Close Approaches — Future Earth encounters from CNEOS
  • Fireballs — Atmospheric impacts detected by sensors
  • Browse Catalog — Paginated access to all known NEOs

The NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server exposes 5 tools through the Vinkius. Connect it to LlamaIndex 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 Asteroids — Near-Earth Objects & Planetary Defense to LlamaIndex via MCP

Follow these steps to integrate the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 5 tools from NASA Asteroids — Near-Earth Objects & Planetary Defense

Why Use LlamaIndex with the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server

LlamaIndex provides unique advantages when paired with NASA Asteroids — Near-Earth Objects & Planetary Defense through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine NASA Asteroids — Near-Earth Objects & Planetary Defense tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain NASA Asteroids — Near-Earth Objects & Planetary Defense tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query NASA Asteroids — Near-Earth Objects & Planetary Defense, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what NASA Asteroids — Near-Earth Objects & Planetary Defense tools were called, what data was returned, and how it influenced the final answer

NASA Asteroids — Near-Earth Objects & Planetary Defense + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server delivers measurable value.

01

Hybrid search: combine NASA Asteroids — Near-Earth Objects & Planetary Defense real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query NASA Asteroids — Near-Earth Objects & Planetary Defense to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying NASA Asteroids — Near-Earth Objects & Planetary Defense for fresh data

04

Analytical workflows: chain NASA Asteroids — Near-Earth Objects & Planetary Defense queries with LlamaIndex's data connectors to build multi-source analytical reports

NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Tools for LlamaIndex (5)

These 5 tools become available when you connect NASA Asteroids — Near-Earth Objects & Planetary Defense to LlamaIndex via MCP:

01

get_close_approaches

Filter by distance threshold, date range, and minimum size. Critical for planetary defense monitoring. Get future close approaches of asteroids to Earth from JPL CNEOS

02

get_fireballs

Includes location, velocity, energy (kilotons of TNT equivalent), and altitude. Covers events worldwide. Get atmospheric fireball (bolide) events detected by US government sensors

03

get_neo_browse

Returns 20 asteroids per page. Use for exploring the complete known catalog of near-Earth objects. Browse the complete catalog of known near-Earth asteroids

04

get_neo_feed

Includes estimated diameter, velocity, miss distance, and whether potentially hazardous. Source: NASA NeoWs. Get near-Earth asteroids approaching within a date range

05

get_neo_lookup

Use SPK-IDs from the feed endpoint. Get detailed information about a specific asteroid by its NASA SPK-ID

Example Prompts for NASA Asteroids — Near-Earth Objects & Planetary Defense in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with NASA Asteroids — Near-Earth Objects & Planetary Defense immediately.

01

"What asteroids are passing near Earth this week?"

02

"Are there any large asteroids approaching Earth next month?"

03

"Tell me about the recent fireball detected over the Pacific."

Troubleshooting NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server with LlamaIndex

Common issues when connecting NASA Asteroids — Near-Earth Objects & Planetary Defense to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

NASA Asteroids — Near-Earth Objects & Planetary Defense + LlamaIndex FAQ

Common questions about integrating NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query NASA Asteroids — Near-Earth Objects & Planetary Defense tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect NASA Asteroids — Near-Earth Objects & Planetary Defense to LlamaIndex

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.