How to Use the Maxar (Satellite Imagery) MCP in Google ADK

Q: How do I search catalogs using Google ADK and the Maxar (Satellite Imagery) MCP Server?

Pass your query parameters to the searchdiscovery tool. The agent processes the result set and identifies the most relevant imagery for your current task.

Q: Can Google ADK trigger data orders from Maxar (Satellite Imagery)?

Absolutely. Use the createorder tool within your agent flow to submit requests directly to the Maxar backend.

Q: Does Google ADK work with Maxar (Satellite Imagery) streaming endpoints?

Yes. Call getmwsendpoints to retrieve the connection details. These endpoints are compatible with the standard streaming libraries used in Google Cloud.

Connect Google ADK agents to Maxar (Satellite Imagery) for high-fidelity geospatial analysis within your cloud infrastructure.

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Connect Maxar (Satellite Imagery) MCP to Google ADK

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Setup Maxar (Satellite Imagery) with Google ADK

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Spatial Discovery for Google ADK

Run `search_discovery` to find imagery that aligns with your BigQuery datasets. This allows for immediate cross-referencing of satellite data with your existing enterprise records. The tool returns precise metadata, which your agent uses to filter candidates before initiating a download or order.

Enterprise Order Management

Trigger `create_order` to initiate data production workflows that scale with your Google Cloud environment. This keeps your pipeline moving without manual oversight. Your agent manages the order lifecycle by tracking the status of requests submitted through the `create_order` tool.

Efficient ARD Tile Retrieval

Use `get_ard_tile` to pull specific analytical ready data tiles into your Vertex AI processing jobs. This limits unnecessary egress costs by only requesting the tiles you need. Your agent validates the tile metadata from `get_ard_tile` against your coordinate requirements to ensure accuracy before ingestion.

Setup guide

Set up Maxar (Satellite Imagery) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Maxar (Satellite Imagery) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Maxar (Satellite Imagery)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Maxar (Satellite Imagery) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Maxar (Satellite Imagery) MCP in Google ADK

Pass your query parameters to the `search_discovery` tool. The agent processes the result set and identifies the most relevant imagery for your current task.

Absolutely. Use the `create_order` tool within your agent flow to submit requests directly to the Maxar backend.

Yes. Call `get_mws_endpoints` to retrieve the connection details. These endpoints are compatible with the standard streaming libraries used in Google Cloud.

Vinkius manages the auth handshake. You simply provide the endpoint token, and the agent handles the secure connection to the satellite API.

Your imagery requests are isolated. The MCP Server only touches the metadata and tile references required for your specific query.

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