NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server for Pydantic AI 5 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NASA Asteroids — Near-Earth Objects & Planetary Defense through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to NASA Asteroids — Near-Earth Objects & Planetary Defense "
"(5 tools)."
),
)
result = await agent.run(
"What tools are available in NASA Asteroids — Near-Earth Objects & Planetary Defense?"
)
print(result.data)
asyncio.run(main())
* 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).
Pydantic AI validates every NASA Asteroids — Near-Earth Objects & Planetary Defense tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 5 tools from NASA Asteroids — Near-Earth Objects & Planetary Defense with type-safe schemas
Why Use Pydantic AI with the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server
Pydantic AI provides unique advantages when paired with NASA Asteroids — Near-Earth Objects & Planetary Defense through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your NASA Asteroids — Near-Earth Objects & Planetary Defense integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your NASA Asteroids — Near-Earth Objects & Planetary Defense connection logic from agent behavior for testable, maintainable code
NASA Asteroids — Near-Earth Objects & Planetary Defense + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server delivers measurable value.
Type-safe data pipelines: query NASA Asteroids — Near-Earth Objects & Planetary Defense with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple NASA Asteroids — Near-Earth Objects & Planetary Defense tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query NASA Asteroids — Near-Earth Objects & Planetary Defense and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock NASA Asteroids — Near-Earth Objects & Planetary Defense responses and write comprehensive agent tests
NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Tools for Pydantic AI (5)
These 5 tools become available when you connect NASA Asteroids — Near-Earth Objects & Planetary Defense to Pydantic AI via MCP:
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
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
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
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
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with NASA Asteroids — Near-Earth Objects & Planetary Defense immediately.
"What asteroids are passing near Earth this week?"
"Are there any large asteroids approaching Earth next month?"
"Tell me about the recent fireball detected over the Pacific."
Troubleshooting NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server with Pydantic AI
Common issues when connecting NASA Asteroids — Near-Earth Objects & Planetary Defense to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNASA Asteroids — Near-Earth Objects & Planetary Defense + Pydantic AI FAQ
Common questions about integrating NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect NASA Asteroids — Near-Earth Objects & Planetary Defense with your favorite client
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NASA Asteroids — Near-Earth Objects & Planetary Defense to Pydantic AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.