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How to Use the Geopard Agriculture MCP in Windsurf

Let Windsurf run autonomous multi-step agricultural analysis using your live Geopard precision farming data.

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Windsurf

Connect Geopard Agriculture MCP to Windsurf

Create your Vinkius account to connect Geopard Agriculture to Windsurf 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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Automate field health checks with the Windsurf MCP Server

The `get_agri_fields` tool lets your agent fetch all registered agricultural fields immediately inside your workspace. Windsurf uses Cascade to chain your agricultural workflows, pulling coordinates and matching them to satellite observations without manual prompting. This setup removes the friction of jumping between browser tabs to check crop health. Cascade parses the agricultural coordinates, matches them with satellite observations, and builds a working summary of your field conditions in one run.

Deep-dive agricultural analytics on autopilot

The `get_field_analytics` tool provides historical performance records for your specific plots directly to your workspace. Cascade takes this analytical payload and writes custom visualization scripts or exports structured reports. You get a direct pipeline from satellite datasets to actionable decisions. This MCP integration handles the API calls, processes the response payloads, and organizes the agronomic data.

Proactive crop monitoring and anomaly flagging

The `get_crop_health_data` tool queries live NDVI metrics and crop health indicators for any selected plot. Instead of manually checking each field, you can ask Windsurf to scan your entire operation for crop stress. By combining live satellite indicators with historical yield records, Cascade alerts you to irrigation issues or nutrient deficiencies. It builds a localized priority list so you know exactly where to send your scouts.

Setup guide

Set up Geopard Agriculture MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the Geopard Agriculture MCP

    Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Geopard Agriculture payment history." If connected, Cascade will call the Geopard Agriculture tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "geopard-agriculture-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Geopard. 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 Geopard Agriculture MCP in Windsurf

Open your settings, go to Cascade, and add the server to your configuration file. Once connected, Windsurf automatically registers the agronomic tools so Cascade can query your fields.
Yes. Cascade can chain the tools to pull the latest NDVI metrics, analyze historical performance, and write a markdown report in your workspace.
It does. You can tell Cascade to write a Python script that processes the JSON output from `get_agri_fields` and maps the coordinates. This MCP toolset lets Cascade write Python scripts for you.
Cascade requests the field list first, then batches queries for crop metrics. It parses large payloads locally in your IDE, keeping the raw data structured and readable.
Absolutely. Your field boundaries and crop health metrics are processed within Vinkius's secure sandboxed environment. Your private agronomic data is never used to train public models, keeping your field locations entirely confidential.

Start using the Geopard Agriculture MCP today

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