How to Use the Planet Labs MCP in OpenAI Agents SDK

Q: How do I run a Planet Labs spatial query using the OpenAI Agents SDK?

Pass your coordinates as GeoJSON to the quicksearch tool within your OpenAI Agents SDK execution loop. The OpenAI Agents SDK maps this call directly to the Planet Labs API, returning matching satellite scenes in seconds.

Q: Can an OpenAI Agents SDK agent use this MCP Server to set up recurring monitoring with Planet Labs?

Yes, your OpenAI Agents SDK agent calls createsavedsearch to store specific geographic and cloud filters on your Planet Labs account. It then runs getsearchresults on a schedule to fetch the newest Planet Labs imagery matching those parameters.

Q: How does the Planet Labs MCP Server handle asset downloads in OpenAI Agents SDK?

The MCP Server exposes getitemassets, which returns direct download URLs and file permissions for Planet Labs items. Your OpenAI Agents SDK agent reads this payload to select either visual or analytic bands for your pipeline.

Q: What satellite constellations can my OpenAI Agents SDK agent access with Planet Labs?

Your OpenAI Agents SDK agent runs listitemtypes to discover available Planet Labs imagery sources like PSScene, SkySat, and Sentinel-2. This list details the exact resolutions and supported asset types for each Planet Labs constellation.

Feed Planet Labs daily satellite imagery directly into your OpenAI Agents SDK pipelines with zero manual coding.

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Connect Planet Labs MCP to OpenAI Agents SDK

Create your Vinkius account to connect Planet Labs to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Planet Labs with OpenAI Agents SDK

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Target imagery with quick_search and OpenAI Agents SDK

Your OpenAI Agents SDK agents run `quick_search` to find Planet Labs PSScene, SkySat, and RapidEye imagery using precise GeoJSON coordinates. This OpenAI Agents SDK pipeline filters the Planet Labs catalog by cloud cover and sun elevation instantly so you don't waste time on unusable frames. Your OpenAI Agents SDK agent checks the Planet Labs metadata before initiating any asset download. The agent runs `get_item_details` to verify the Planet Labs acquisition time and sun angle to ensure the data matches your criteria.

Automate delivery pipelines using MCP Server subscriptions

This MCP Server lets your OpenAI Agents SDK agents manage continuous Planet Labs monitoring by calling `create_subscription`. The OpenAI Agents SDK agent configures recurring deliveries of cloud-free Planet Labs imagery directly to your cloud storage or webhook endpoints so you're always working with fresh data. To track active feeds, your OpenAI Agents SDK agent queries `list_subscriptions` to audit Planet Labs delivery destinations and statuses. The agent handles Planet Labs subscription lifecycles autonomously based on your OpenAI Agents SDK application's real-time needs.

Validate imagery quality using get_cloud_coverage

Your OpenAI Agents SDK pipeline connects to this MCP Server to run `get_cloud_coverage` on specific Planet Labs imagery items. This evaluation prevents your OpenAI Agents SDK agents from wasting bandwidth on cloudy Planet Labs frames. The agent maps out the available Planet Labs products using `get_item_assets` to pull specific file sizes and download URLs. Your OpenAI Agents SDK agent matches these Planet Labs assets against your processing pipeline constraints automatically so there's no manual checking.

Setup guide

Set up Planet Labs 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 Planet Labs tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Planet Labs 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="Planet Labs Agent",
            instructions="You have access to Planet Labs tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Planet Labs. 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 Planet Labs MCP in OpenAI Agents SDK

Pass your coordinates as GeoJSON to the `quick_search` tool within your OpenAI Agents SDK execution loop. The OpenAI Agents SDK maps this call directly to the Planet Labs API, returning matching satellite scenes in seconds.

Yes, your OpenAI Agents SDK agent calls `create_saved_search` to store specific geographic and cloud filters on your Planet Labs account. It then runs `get_search_results` on a schedule to fetch the newest Planet Labs imagery matching those parameters.

The MCP Server exposes `get_item_assets`, which returns direct download URLs and file permissions for Planet Labs items. Your OpenAI Agents SDK agent reads this payload to select either visual or analytic bands for your pipeline.

Your OpenAI Agents SDK agent runs `list_item_types` to discover available Planet Labs imagery sources like PSScene, SkySat, and Sentinel-2. This list details the exact resolutions and supported asset types for each Planet Labs constellation.

Your Planet Labs API token is isolated in Vinkius's secure sandbox environment, never exposed to the OpenAI Agents SDK client logs. The OpenAI Agents SDK only interacts with the sandboxed MCP Server tool interface, keeping your imagery metadata and search parameters private.

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