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How to Use the Cedar AI MCP in Windsurf

Track railcars and dispatch trains autonomously right inside your Windsurf workspace.

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Works with every AI agent you already use

…and any MCP-compatible client

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Windsurf

Connect Cedar AI MCP to Windsurf

Create your Vinkius account to connect Cedar AI 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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Manage Train Movements in Windsurf

Your Windsurf agent uses `arrive_train` and `depart_train` to log train movements without you typing a single Cedar AI command. Cascade handles the heavy yard scheduling by checking the waybill, updating the track status, and scheduling the next departure in one autonomous sequence. If a shipment gets delayed, Cascade chains `list_waybills` to find the affected cargo and updates the Cedar AI schedules automatically. You just tell the Windsurf agent to clear the yard backlog, and it handles the rest.

Track Cedar AI Railcar Status in Windsurf

Windsurf exposes `list_inventory` and `get_railcar_details` so Cascade can audit the Cedar AI yard layout in real-time. It maps out where every car is sitting and flags any that need immediate attention. When a car needs maintenance, Windsurf uses `update_railcar_status` to mark it as Bad Order in Cedar AI. Cascade then immediately looks up the yard capacity to find a spot for the repairs.

Coordinate Cedar AI Work Orders via Windsurf MCP Server

The Cedar AI MCP Server lets Cascade modify active yard tasks using `update_work_order` and `list_work_orders` directly inside Windsurf. Instead of manually copying data, you let your Windsurf agent rewrite the work instructions based on incoming train schedules. When a crew needs to swap cars, the Windsurf agent runs `setout_cars` and `pickup_cars` to document the exact Cedar AI moves. Windsurf keeps the paper trail clean without you opening a legacy ERP app.

Setup guide

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

mcp_config.json
{
  "mcpServers": {
    "cedar-ai-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 Cedar AI. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cedar AI MCP in Windsurf

Cascade runs `arrive_train` and `depart_train` sequentially to update the log. You don't have to trigger each step manually.
Yes. Windsurf calls `update_railcar_status` via this MCP Server to change a car's state to Loaded, Empty, or Bad Order based on your Cascade prompt. Your agent triggers the update instantly without manual data entry.
Add the Vinkius URL under the mcpServers key in your Windsurf Cascade settings. Once connected, your agent automatically discovers the twelve rail logistics tools.
Yes. Windsurf chains `list_work_orders` and `update_work_order` to modify multiple tasks in a single autonomous Cascade run. This lets you re-prioritize yard work in seconds.
Your logistics data stays protected because Vinkius runs the connector in an isolated sandbox. Only the specific railcar details and waybills you ask Cascade to process in Windsurf are ever accessed.

Start using the Cedar AI MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Cedar AI. Just plug in your AI agents and start using Vinkius.

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All 12 tools are live and waiting. You're up and running in seconds.

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