Maxar (Satellite Imagery) MCP Server for Pydantic AIGive Pydantic AI instant access to 4 tools to Create Order, Get Ard Tile, Get Mws Endpoints, and more

Name: Maxar (Satellite Imagery)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Maxar (Satellite Imagery) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Maxar (Satellite Imagery) MCP Server for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Maxar (Satellite Imagery) "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Maxar (Satellite Imagery)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Maxar (Satellite Imagery) MCP Server

Connect to Maxar, the world leader in high-resolution satellite imagery, and integrate earth intelligence directly into your AI workflows. This server allows you to query the Maxar Discovery Service, manage orders, and access OGC-compliant streaming services.

Pydantic AI validates every Maxar (Satellite Imagery) tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Imagery Discovery — Search for available satellite imagery using spatial bounding boxes, temporal filters, and specific satellite collections (like WorldView-3).
Product Ordering — Request delivery of specific imagery products (visual, multispectral, or panchromatic) directly to your cloud storage.
ARD Metadata — Retrieve detailed metadata for Analysis Ready Data (ARD) tiles to streamline your geospatial analysis.
Streaming Access — Get base URLs for OGC-compliant streaming services (WMS, WMTS) to visualize imagery in GIS applications or custom dashboards.

The Maxar (Satellite Imagery) MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Maxar (Satellite Imagery) tools available for Pydantic AI

When Pydantic AI connects to Maxar (Satellite Imagery) through Vinkius, your AI agent gets direct access to every tool listed below — spanning satellite-imagery, gis, remote-sensing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create order on Maxar (Satellite Imagery)

Order specific data products

get

Get ard tile on Maxar (Satellite Imagery)

Get ARD Tile Metadata

get

Get mws endpoints on Maxar (Satellite Imagery)

Get Maxar Web Services (MWS) endpoints

Search discovery on Maxar (Satellite Imagery)

Search for available satellite imagery

Connect Maxar (Satellite Imagery) to Pydantic AI via MCP

Follow these steps to wire Maxar (Satellite Imagery) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from Maxar (Satellite Imagery) with type-safe schemas

Why Use Pydantic AI with the Maxar (Satellite Imagery) MCP Server

Pydantic AI provides unique advantages when paired with Maxar (Satellite Imagery) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Maxar (Satellite Imagery) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Maxar (Satellite Imagery) connection logic from agent behavior for testable, maintainable code

Maxar (Satellite Imagery) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Maxar (Satellite Imagery) MCP Server delivers measurable value.

Type-safe data pipelines: query Maxar (Satellite Imagery) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Maxar (Satellite Imagery) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Maxar (Satellite Imagery) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Maxar (Satellite Imagery) responses and write comprehensive agent tests

Example Prompts for Maxar (Satellite Imagery) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Maxar (Satellite Imagery) immediately.

"Search for available satellite imagery in the bbox [-122.5, 37.7, -122.3, 37.8] from the last 6 months."

"Get the streaming endpoints for Maxar Web Services."

"Retrieve metadata for the ARD tile with ID '1234567890'."

Troubleshooting Maxar (Satellite Imagery) MCP Server with Pydantic AI

Common issues when connecting Maxar (Satellite Imagery) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Maxar (Satellite Imagery) + Pydantic AI FAQ

Common questions about integrating Maxar (Satellite Imagery) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Maxar (Satellite Imagery) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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