How to Use the NASA Earth — Full-Disk Imagery & Natural Events MCP in AutoGen
Deploy multi-agent AutoGen squads to debate and analyze global wildfires and full-disk satellite imagery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NASA Earth — Full-Disk Imagery & Natural Events MCP to AutoGen
Create your Vinkius account to connect NASA Earth — Full-Disk Imagery & Natural Events to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Cross-examine natural events
`get_natural_events` hands raw EONET data—including severe storm coordinates and wildfire source links—to your AutoGen assistant agents. A forecasting agent reads the active incidents while a skeptical validation agent cross-references the locations against historical patterns. They debate the severity. If the data shows a massive dust haze, the agents negotiate the potential impact before presenting a finalized consensus back to the user. No fluff, just hard analysis.
Verify claims with EPIC images
`get_epic_images` acts as the ground-truth mechanism for your debating agents. When one agent claims a weather pattern exists based on local news, another agent calls the DSCOVR satellite feed to pull actual natural color imagery from 1.5 million kilometers away. The agents use `get_epic_by_date` to align the satellite data with specific EONET incidents. They check the sun position and image identifiers, ensuring the visual evidence matches the exact timeline of the reported event.
Equip your AutoGen MCP Server
`get_event_categories` gives your agents the exact taxonomy of the 19 trackable natural events. They learn the vocabulary of the API, preventing them from arguing over invalid category names when constructing their queries. You pass the tool list directly to the AssistantAgent constructor. The MCP integration converts the schemas automatically, letting your agent squad start calling NASA endpoints via standard HTTP transports within seconds.
Set up NASA Earth — Full-Disk Imagery & Natural Events MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes NASA Earth — Full-Disk Imagery & Natural Events tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="NASA Earth — Full-Disk Imagery & Natural Events_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent NASA Earth — Full-Disk Imagery & Natural Events data")
print(result.messages[-1].content)Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="NASA Earth — Full-Disk Imagery & Natural Events_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent NASA Earth — Full-Disk Imagery & Natural Events data")
print(result.messages[-1].content)Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NASA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about NASA Earth — Full-Disk Imagery & Natural Events MCP in AutoGen
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