How to Use the Kargo MCP in Windsurf

Use the Kargo MCP Server in Windsurf to automate your loading dock logistics and shipment tracking directly from your IDE.

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Connect Kargo MCP to Windsurf

Create your Vinkius account to connect Kargo 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 Kargo with Windsurf

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Manage facility logistics in Windsurf

Cascade pulls real-time data from your warehouse floor by calling `list_facilities` and `list_shipments`. You get an accurate view of current inventory without leaving your code editor. Use `get_shipment` to drill down into specific transit details. Cascade interprets this data instantly to help you identify bottlenecks in your supply chain.

Sync warehouse data with Windsurf

Push updates back to your logistics platform using `update_logistics` when you make changes to operational records. This keeps your central data store current with your local development environment. Check your sync history by running `list_payload_logs`. It lets you confirm that every data change successfully reached the Kargo endpoint.

Monitor IoT hardware from Windsurf

Cascade queries your facility devices using `list_devices` to verify hardware health across your shipping network. You can ping specific hardware status with `get_device_status` to troubleshoot connectivity issues. This gives you a direct line to your physical infrastructure. You'll catch sensor failures before they disrupt your daily throughput.

Setup guide

Set up Kargo 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 Kargo 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 Kargo payment history." If connected, Cascade will call the Kargo tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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 Kargo. 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 Kargo MCP in Windsurf

Open your settings and navigate to the Cascade MCP configuration panel. You can add the server definition directly there or use the built-in marketplace for a faster install. Click refresh once connected to see the tools.

Yes, Cascade chains multiple tool calls to finish a goal. If you ask it to list orders and verify their status, it handles the logic autonomously. You just review the final output.

Your keys stay local to your machine. The Vinkius platform handles the connection through an endpoint token. No sensitive credentials ever leave your protected environment.

Cascade reports the specific error returned by the server. You can then ask it to retry the request or check the payload logs to see exactly what went wrong with the transmission.

Only the specific shipment IDs and device status codes you request are retrieved. The server acts as a thin pass-through for your logistics data, ensuring no extra records are cached or stored by the agent.

Use it with your favorite AI tools

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