How to Use the ESA Near Earth Objects MCP in AutoGen

Q: How do I configure ESA Near Earth Objects tools inside an AutoGen agent?

You register the tools using the MCP adapter from the autogen-extmcp package, passing your Vinkius endpoint URL. This maps tools like getobjectcloseapproaches directly into the agent's available toolset, allowing it to execute queries during conversations.

Q: What happens if the ESA API goes offline during an AutoGen run?

Your supervisor agent can run checkesaneoccstatus to verify the connection before starting a complex debate. If the service is unreachable, the agent can gracefully pause the workflow or fall back to cached orbital elements.

Let your AutoGen agents debate orbital trajectories and coordinate planetary defense using live ESA telemetry.

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Connect ESA Near Earth Objects MCP to AutoGen

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Setup ESA Near Earth Objects with AutoGen

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Coordinate multi-agent debates on asteroid risks

Planetary defense isn't a one-agent job. With AutoGen, you can set up a debate where one agent pulls threat levels using `get_risk_list` while another analyzes the raw trajectory data from `get_object_orbital_elements`. They argue over whether a newly spotted rock is a genuine threat or just a statistical anomaly based on Palermo Scale metrics. This MCP Server feeds live data to both sides of the conversation. The agents use the `get_impact_table` tool to cross-reference projected impact dates, forcing a consensus before presenting the final risk assessment to you.

Automate telescope time allocation via AutoGen

Telescope time is scarce and expensive. Your AutoGen agents can negotiate which targets deserve priority by pulling the active list from `get_priority_list`. A scheduling agent balances the weather constraints while a science agent uses `get_object_ephemerides` to calculate when the object is actually visible in the sky. By using this MCP Server, the agents resolve conflicts autonomously. They verify the connection status with `check_esa_neocc_status`, check if the object has physical data in `get_object_physical_properties`, and decide whether to book telescope time or wait for better orbital calculations.

Track recent flybys with autonomous agent workflows

When an asteroid passes close to Earth, you need to verify if the orbital models held up. An AutoGen agent can monitor `get_recent_close_approaches` to find recent flyby events. It then triggers a sub-agent to compare those actual flybys against historical predictions, flagging any significant deviations in velocity or miss distance. If the sub-agent finds an anomaly, it calls `get_special_risk_list` to see if the object needs to be escalated to a high-priority monitoring state. The entire loop runs without human intervention, keeping your tracking database accurate and up to date.

Setup guide

Set up ESA Near Earth Objects 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes ESA Near Earth Objects tools and returns structured results.

agent.py

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="ESA Near Earth Objects_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ESA Near Earth Objects data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="ESA Near Earth Objects_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ESA Near Earth Objects data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ESA NEOCC. 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 ESA Near Earth Objects MCP in AutoGen

Your agents pass the tool outputs, such as asteroid sizes from `get_object_physical_properties`, through their conversation history. The AutoGen framework automatically formats these JSON payloads so both the analyst agent and the supervisor agent can read the same orbital data.

Yes, you can set up a monitoring agent that regularly polls `get_upcoming_close_approaches` using the MCP Server. If a new object is detected with a close miss distance, it automatically initiates a multi-agent discussion to analyze the threat.

You register the tools using the MCP adapter from the `autogen-ext[mcp]` package, passing your Vinkius endpoint URL. This maps tools like `get_object_close_approaches` directly into the agent's available toolset, allowing it to execute queries during conversations.

Your supervisor agent can run `check_esa_neocc_status` to verify the connection before starting a complex debate. If the service is unreachable, the agent can gracefully pause the workflow or fall back to cached orbital elements.

All requests for asteroid designations, orbital parameters, and risk tables are routed through ephemeral, zero-trust V8 isolates on Vinkius. Your local AutoGen agents communicate directly with this secure sandbox, ensuring no third party can intercept your planetary defense queries.

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