How to Use the Maxar (Satellite Imagery) MCP in OpenAI Agents SDK

Q: How do I search for imagery using the OpenAI Agents SDK and the Maxar (Satellite Imagery) MCP Server?

Invoke the searchdiscovery tool within your agent's execution loop. Pass your bounding box coordinates to the tool, and the agent will handle the catalog request automatically.

Q: Can the OpenAI Agents SDK automatically order data products from Maxar (Satellite Imagery)?

Yes, use the createorder tool. Your agent constructs the order request, and the SDK's built-in guardrails verify the payload before the MCP Server processes it.

Q: Does the OpenAI Agents SDK support real-time streaming from Maxar (Satellite Imagery)?

It does. Call getmwsendpoints to retrieve the necessary connection strings. You then feed these endpoints into your visualization logic for live data display.

Directly integrate Maxar (Satellite Imagery) into your OpenAI Agents SDK pipeline for real-time geospatial data access.

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Connect Maxar (Satellite Imagery) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Maxar (Satellite Imagery) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Maxar (Satellite Imagery) with OpenAI Agents SDK

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Automated Satellite Imagery Search

Use `search_discovery` to query the catalog based on your agent's current spatial coordinates. This keeps your data fresh without manual intervention. Your agent parses the metadata returned by `search_discovery` to determine which imagery tiles fit your specific mission parameters.

Production-Grade Data Ordering

Execute `create_order` directly from your agent logic to trigger data processing requests. This avoids the latency of manual dashboard clicks. The OpenAI Agents SDK automatically validates the order payload against your defined safety constraints before sending the request to the Maxar API.

Direct MWS Stream Configuration

Fetch live streaming endpoints with `get_mws_endpoints` to pipe raw satellite feeds into your GIS visualization modules. By chaining `get_mws_endpoints` with your agent's internal state, you ensure that your production system always points to the correct, active Maxar service URLs.

Setup guide

Set up Maxar (Satellite Imagery) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Maxar (Satellite Imagery) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Maxar (Satellite Imagery) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Maxar (Satellite Imagery) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Maxar (Satellite Imagery) Agent",
            instructions="You have access to Maxar (Satellite Imagery) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Maxar (Satellite Imagery) MCP in OpenAI Agents SDK

Invoke the `search_discovery` tool within your agent's execution loop. Pass your bounding box coordinates to the tool, and the agent will handle the catalog request automatically.

Yes, use the `create_order` tool. Your agent constructs the order request, and the SDK's built-in guardrails verify the payload before the MCP Server processes it.

It does. Call `get_mws_endpoints` to retrieve the necessary connection strings. You then feed these endpoints into your visualization logic for live data display.

The SDK performs type checking on all tool outputs. If the server returns unexpected data, the agent logs an error rather than passing corrupt information downstream.

Every request is ephemeral. Your agent handles the session token, and no persistent credentials are stored on the Vinkius hosting layer.

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