How to Use the Maxar (Satellite Imagery) MCP in Pydantic AI

Q: How does Pydantic AI handle ARD tiles from Maxar (Satellite Imagery)?

The framework validates the metadata returned by getardtile. If the API returns unexpected fields, the agent stops and reports a validation error.

Build type-safe geospatial agents using Pydantic AI and the Maxar (Satellite Imagery) MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Maxar (Satellite Imagery) MCP to Pydantic AI

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

GDPR Free for Subscribers

Setup Maxar (Satellite Imagery) with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-Safe Imagery Discovery

Implement `search_discovery` within your agents to find imagery that matches your strict Pydantic model definitions. If the API response deviates, the agent catches the mismatch immediately. This ensures your agent logic only proceeds when it receives valid, parseable imagery metadata from the discovery catalog.

Validated Data Ordering

Use `create_order` to place data requests that are verified against your schema at runtime. This prevents malformed orders from hitting the Maxar API. Your agent defines the expected structure for order confirmation, and the tool response is checked against this model before any further action occurs.

Precise ARD Tile Parsing

Fetch tile metadata with `get_ard_tile` and ensure the output complies with your data requirements. Every field is validated to prevent runtime errors during analysis. By using `get_ard_tile` with Pydantic AI, you guarantee that your agent logic only processes satellite tiles that meet your exact technical specifications.

Setup guide

Set up Maxar (Satellite Imagery) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "maxar-satellite-imagery-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Maxar (Satellite Imagery) tools.",
)

result = await agent.run("List recent Maxar (Satellite Imagery) transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Maxar. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Maxar (Satellite Imagery) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Maxar (Satellite Imagery) MCP in Pydantic AI

The server returns data that is mapped to your Pydantic models. Use `search_discovery` to trigger the search, and the framework will validate the response schema automatically.

Yes. Define your order request as a Pydantic model. When calling `create_order`, the tool output is compared against your model, ensuring data integrity.

The framework validates the metadata returned by `get_ard_tile`. If the API returns unexpected fields, the agent stops and reports a validation error.

No. The MCP Server uses an endpoint token provided by Vinkius, ensuring your API credentials remain outside your agent's codebase.

The server is ephemeral. It processes your request for discovery or ordering and does not retain your search patterns or tile history.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python