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How to Use the Cedar AI MCP in Cursor

Build custom rail logistics dashboards faster by querying Cedar AI directly in Cursor.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Cedar AI MCP to Cursor

Create your Vinkius account to connect Cedar AI to Cursor 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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Write TMS features with Cursor

Calling the `list_inventory` tool while you code gives you real railcar IDs instead of mock JSON. Building a custom dashboard for yardmasters usually means juggling API docs and fake data. Agent mode changes that by hitting your staging environment directly through the MCP Server. You get actual data structures injected into your components. When you need to build a detail view, the `get_railcar_details` tool feeds exact payload shapes right into your editor. Your agent writes the frontend code based on the real API response.

Automate arrivals via MCP Server

Writing integration tests for train schedules requires realistic arrival and departure events. Cursor can trigger `arrive_train` or `depart_train` to populate your database with test records on the fly. You skip leaving the editor to run a cURL command. This makes testing webhook listeners incredibly fast. You tell the agent to simulate a train leaving the yard, and it hits your backend. Then you just watch your code react to the live event.

Build switching logic using live waybills

Developing the logic for switch crews involves complex relationships between waybills and work orders. The `get_waybill_details` tool lets Cursor see the exact routing data your app needs to process. It writes the data mapping functions based on the actual schema. Once the data is mapped, you need to handle state changes. Cursor uses `update_work_order` and `update_railcar_status` to test your update functions. It proves the API call works before you even commit the code.

Setup guide

Set up Cedar AI MCP in Cursor

Prerequisites

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

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Cedar AI MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Cedar AI transactions." If the MCP tools are loaded correctly, Cursor will call the Cedar AI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.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 Cursor

Create an mcp.json file in your project root. Paste your Vinkius endpoint credentials inside. Toggle Agent mode on in the chat panel to start calling tools.
Yes. The agent can fire the update_railcar_status tool to mark a car as loaded or empty. This lets you verify your backend logic against real responses.
Context switching kills momentum. Pulling waybill data via list_waybills directly in your editor means the AI writes the exact TypeScript interfaces for your payload immediately.
Yes. Vinkius hosts the MCP Server, so you just need the HTTPS endpoint. Your agent connects over the internet without needing local binaries.
The server requires a single endpoint token for authentication. Your work order details and railcar locations are never stored by the AI, and the connection drops the moment the tool execution completes.

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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