How to Use the Wiagro MCP in Windsurf

Q: How does Wiagro work with Windsurf to monitor spoilage?

Windsurf's Cascade agent connects the necessary tools like getco2history and gettemperaturehistory. You just set the goal—e.g., 'Check for spoilage in Silobag 3.' Cascade handles fetching the trends, analyzing them, and presenting a clear answer.

Automated Grain Quality Reporting for your facility with Windsurf.

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Connect Wiagro MCP to Windsurf

Create your Vinkius account to connect Wiagro 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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Setup Wiagro with Windsurf

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Perplexity

Run full spoilage risk assessments using the MCP Server.

Cascade handles complex, multi-step reporting. You can ask it to check current conditions and then analyze trends. It automatically runs `get_current_readings` followed by a historical check like `get_temperature_history` to build a full picture of spoilage risk. This sequence is crucial for proactive management. Windsurf uses the gathered data from these tools to generate actionable summaries, letting you know exactly what needs attention across your stored grain.

Identify structural failures with Wiagro’s rupture alerts.

Need to check if any silobags are damaged? The `get_rupture_alerts` tool finds tears or holes. Cascade can filter these alerts by a specific unit ID, letting you immediately pinpoint the compromised bag and its location. This ensures rapid response when structural integrity is at risk. You get severity levels, detection timestamps, and recommended fixes all in one flow.

Get a complete facility overview using MCP Server.

Don't want to check every silo manually? Use `get_facility_overview` for a single source of truth. It collects the status of all monitored silobags and storage units instantly. This gives you an executive summary—the overall grain quality status, or if multiple areas need attention right away. Windsurf plans this data gathering automatically.

Setup guide

Set up Wiagro MCP in Windsurf

Prerequisites

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

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

Add the Wiagro 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

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

Verify in Cascade

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

mcp_config.json

{
  "mcpServers": {
    "wiagro-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Wiagro MCP in Windsurf

Windsurf's Cascade agent connects the necessary tools like `get_co2_history` and `get_temperature_history`. You just set the goal—e.g., 'Check for spoilage in Silobag 3.' Cascade handles fetching the trends, analyzing them, and presenting a clear answer.

The MCP Server gives Windsurf everything: current sensor readings via `get_current_readings`, historical humidity data using `get_humidity_history`, and even external environmental context from `get_satellite_data`.

Yes. Since Windsurf is an IDE agent, you can build workflows that trigger the MCP Server's tools on a schedule or in response to external events. This makes automated quality checks reliable.

The agent handles iterating through units. If you ask for an overview of the facility, it uses `get_silobags` first to list all IDs, then runs detailed checks on each one to compile a comprehensive report.

It primarily handles sensor readings (temperature, humidity, CO2), structural alert data, and metadata like silobag IDs and grain types. This allows for full life-cycle monitoring.

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