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Cedar AI MCP Server for WindsurfGive Windsurf instant access to 12 tools to Arrive Train, Depart Train, Get Railcar Details, and more

Built by Vinkius GDPR 12 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Cedar AI through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Use with Your AI Agent

Ask AI about this App Connector for Windsurf

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The Cedar AI app connector for Windsurf is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Cedar AI and 3,400+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "cedar-ai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Cedar AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cedar AI MCP Server

Connect your Cedar AI railway management account to any AI agent and simplify how you coordinate rail operations, track car movements, and manage logistics documentation through natural conversation.

Windsurf's Cascade agent chains multiple Cedar AI tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

  • Inventory Management — List all railcars currently in your facility and retrieve detailed metadata and status for individual units.
  • Car Movement Tracking — Record placements (setouts) and removals (pickups) of railcars at specific locations or tracks.
  • Logistics Documentation — List and query waybills to understand shipping instructions, routes, and commodity data.
  • Work Order Control — Manage the lifecycle of movement instructions by listing and updating work orders and associated tasks.
  • Consist Coordination — Record train arrivals and departures to keep your inventory and operations synchronized.
  • Status Maintenance — Update railcar tags and conditions (e.g., Bad Order, Empty/Loaded) directly via AI commands.

The Cedar AI MCP Server exposes 12 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Cedar AI tools available for Windsurf

When Windsurf connects to Cedar AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning railway-management, logistics-optimization, freight-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

arrive_train

Record train arrival

depart_train

Record train departure

get_railcar_details

Get details for a specific railcar

get_waybill_details

Get details for a specific waybill

get_work_order_details

Get details for a specific work order

list_inventory

List railcars currently in inventory

list_waybills

List waybills

list_work_orders

List work orders

pickup_cars

Record removal of cars

setout_cars

Record placement of cars

update_railcar_status

g., Bad Order, Clean, Loaded/Empty). Update status of a railcar

update_work_order

Update a work order

Connect Cedar AI to Windsurf via MCP

Follow these steps to wire Cedar AI into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
02

Add the server

Paste the JSON configuration above into mcp_config.json
03

Save and reload

Windsurf will detect the new server automatically
04

Start using Cedar AI

Open Cascade and ask: "Using Cedar AI, help me...". 12 tools available

Why Use Windsurf with the Cedar AI MCP Server

Windsurf provides unique advantages when paired with Cedar AI through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Cedar AI + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Cedar AI MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Cedar AI and generate models, types, or handlers based on real API responses

02

Live debugging: query Cedar AI tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Cedar AI and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Cedar AI data with Cascade's code generation to scaffold entire features in minutes

Example Prompts for Cedar AI in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Cedar AI immediately.

01

"List all railcars currently in the main yard inventory."

02

"Record a setout of cars 'TBOX 101, TBOX 102' at 'Customer Track 4'."

03

"Show me the details for waybill 'WB-88231'."

Troubleshooting Cedar AI MCP Server with Windsurf

Common issues when connecting Cedar AI to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Cedar AI + Windsurf FAQ

Common questions about integrating Cedar AI MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.