NASA Open Data MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NASA Open Data as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Open Data. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in NASA Open Data?"
)
print(response)
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 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.
LlamaIndex agents combine NASA Open Data tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- 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 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 Open Data to LlamaIndex via MCP
Follow these steps to integrate the NASA Open Data MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the NASA Open Data MCP Server
LlamaIndex provides unique advantages when paired with NASA Open Data through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NASA Open Data tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NASA Open Data tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NASA Open Data, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NASA Open Data tools were called, what data was returned, and how it influenced the final answer
NASA Open Data + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NASA Open Data MCP Server delivers measurable value.
Hybrid search: combine NASA Open Data real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NASA Open Data to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying NASA Open Data for fresh data
Analytical workflows: chain NASA Open Data queries with LlamaIndex's data connectors to build multi-source analytical reports
NASA Open Data MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect NASA Open Data to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting NASA Open Data to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNASA Open Data + LlamaIndex FAQ
Common questions about integrating NASA Open Data MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect NASA Open Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
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 Open Data to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.