Can I see photos from the Curiosity rover?

Yes! Use the `get_mars_rover_photos` tool and set the `rover` parameter to 'curiosity'. You'll also need to provide a specific earth date.

How do I know if an asteroid is dangerous?

The `get_near_earth_objects` tool returns a list of asteroids. For each object, the `is_potentially_hazardous_asteroid` field will tell you if NASA has classified it as a potential threat.

Does this provide real-time space images?

The images are updated as soon as they are processed and published by NASA. For example, APOD is updated daily, and rover photos are uploaded as they are received from the Martian surface.

NASA Open Data MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: NASA Open Data
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NASA Open Data through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Open Data "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in NASA Open Data?"
    )
    print(result.data)

asyncio.run(main())

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About NASA Open Data MCP Server

Equip your AI agent with the wonders of the universe through the NASA Open Data MCP server. This integration provides real-time access to official NASA databases, including the Astronomy Picture of the Day (APOD), high-resolution imagery from Mars Rovers (Curiosity, Opportunity, Spirit), and the Near Earth Object (NEO) feed for tracking asteroids. Whether you are an astronomy enthusiast, a space researcher, or an educator, your agent acts as a dedicated space science mission specialist through natural conversation.

Pydantic AI validates every NASA Open Data tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Astronomy Discovery — Retrieve the daily astronomy picture and its detailed scientific explanation.
Planetary Imaging — Access real-time photos from Mars and monitor Earth via the DSCOVR EPIC instrument.
Solar Weather Intelligence — Track Coronal Mass Ejections (CME) and Solar Flares from the Space Weather Database.
Asteroid Tracking — Monitor Near Earth Objects, track specific asteroids by ID, and review potential Earth impact risks.
Space Auditing — Summarize complex astronomical findings and historical space mission data.

The NASA Open Data MCP Server exposes 8 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 Open Data to Pydantic AI via MCP

Follow these steps to integrate the NASA Open Data 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 8 tools from NASA Open Data with type-safe schemas

Why Use Pydantic AI with the NASA Open Data MCP Server

Pydantic AI provides unique advantages when paired with NASA Open Data 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 Open Data 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 Open Data connection logic from agent behavior for testable, maintainable code

NASA Open Data + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the NASA Open Data MCP Server delivers measurable value.

Type-safe data pipelines: query NASA Open Data with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple NASA Open Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query NASA Open Data and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock NASA Open Data responses and write comprehensive agent tests

NASA Open Data MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect NASA Open Data to Pydantic AI via MCP:

get_astronomy_picture

Get the NASA Astronomy Picture of the Day (APOD)

get_coronal_mass_ejections

Get records of Coronal Mass Ejections (CME) from the Space Weather Database

get_earth_polychromatic_images

Get Earth Polychromatic Imaging Camera (EPIC) images

get_mars_rover_manifest

Get the mission manifest and photo details for a Mars Rover

get_mars_rover_photos

Get photos from Mars rovers (Curiosity, Opportunity, Spirit)

get_near_earth_objects_feed

Get a list of Near Earth Objects (asteroids) for a specific date range

get_solar_flares

Get records of Solar Flares from the Space Weather Database

lookup_asteroid

Lookup details for a specific Near Earth Object (Asteroid)

Example Prompts for NASA Open Data in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with NASA Open Data immediately.

"Show me today's NASA Astronomy Picture of the Day."

"Get photos from the Curiosity rover on Earth date 2023-05-15."

"Are there any potentially hazardous asteroids approaching Earth this week?"

Troubleshooting NASA Open Data MCP Server with Pydantic AI

Common issues when connecting NASA Open Data to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NASA Open Data + Pydantic AI FAQ

Common questions about integrating NASA Open Data MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your NASA Open Data MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.