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

Built by Vinkius GDPR 5 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect NASA Asteroids — Near-Earth Objects & Planetary Defense through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "nasa-asteroids-near-earth-objects-planetary-defense": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using NASA Asteroids — Near-Earth Objects & Planetary Defense, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
NASA Asteroids — Near-Earth Objects & Planetary Defense
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
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Ed25519Audit chain
<40msKill switch
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).

LangChain's ecosystem of 500+ components combines seamlessly with NASA Asteroids — Near-Earth Objects & Planetary Defense through native MCP adapters. Connect 5 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

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

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

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

01

The largest ecosystem of integrations, chains, and agents — combine NASA Asteroids — Near-Earth Objects & Planetary Defense MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across NASA Asteroids — Near-Earth Objects & Planetary Defense queries for multi-turn workflows

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

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

01

RAG with live data: combine NASA Asteroids — Near-Earth Objects & Planetary Defense tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query NASA Asteroids — Near-Earth Objects & Planetary Defense, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain NASA Asteroids — Near-Earth Objects & Planetary Defense tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every NASA Asteroids — Near-Earth Objects & Planetary Defense tool call, measure latency, and optimize your agent's performance

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

These 5 tools become available when you connect NASA Asteroids — Near-Earth Objects & Planetary Defense to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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

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

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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

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