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How to Use the Lamha MCP in Cursor

Build logistics features in Cursor. Inject live Lamha data directly into your codebase with agent-mode tools.

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Works with every AI agent you already use

…and any MCP-compatible client

Lamha MCP on Cursor AI Code Editor MCP Client Lamha MCP on Claude Desktop App MCP Integration Lamha MCP on OpenAI Agents SDK MCP Compatible Lamha MCP on Visual Studio Code MCP Extension Client Lamha MCP on GitHub Copilot AI Agent MCP Integration Lamha MCP on Google Gemini AI MCP Integration Lamha MCP on Lovable AI Development MCP Client Lamha MCP on Mistral AI Agents MCP Compatible Lamha MCP on Amazon AWS Bedrock MCP Support
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Connect Lamha MCP to Cursor

Create your Vinkius account to connect Lamha 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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Code with live Lamha data in Cursor

Stop using static mock data for your logistics UI. Cursor agents use `get_order` and `list_orders` to pull live data into your working file. You see real API responses in your editor. This lets you build and test components against actual production records immediately.

Automate shipping logic

Trigger `create_order` directly from your script during testing. The AI writes code that handles real responses from your logistics backend. It handles Arabic dialect input for your end-users. You build features that actually understand the language your customers speak.

Inventory management in the editor

Check current stock levels with `list_inventory` while writing your checkout flow. The AI agent knows exactly what is available in your warehouses. Verify coverage areas with `check_city_coverage` before pushing code. You ensure your shipping logic works before it ever hits production.

Setup guide

Set up Lamha 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 Lamha 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 Lamha transactions." If the MCP tools are loaded correctly, Cursor will call the Lamha tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "lamha-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 Lamha. 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 Lamha MCP in Cursor

Create a .cursor/mcp.json file in your project root. Paste the server configuration there and enable agent mode in your chat window.
Yes. The server provides full dialect support for your AI agent. It processes Arabic queries to return precise logistics data.
You can include the configuration file in your repository. This ensures every developer on your team has access to the same logistics tools.
It provides live data access for your development environment. You use it to build and test features before deploying them to your users.
Your inventory and warehouse information remains private. The server functions as a secure bridge between your code and your logistics database.

Start using the Lamha MCP today

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

Built & Managed by Vinkius 30s setup 8 tools

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

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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