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How to Use the MoeGo MCP in Cursor

Build custom pet care workflows in Cursor using this MoeGo MCP Server to query live customer and booking databases.

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Connect MoeGo MCP to Cursor

Create your Vinkius account to connect MoeGo 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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Generate code using actual MoeGo database schemas

Stop writing code against mock JSON files and let your agent run `get_business_settings` to pull your actual salon configuration directly into Cursor. This lets you write custom booking logic or automated notifications using real, live data. Because the agent has access to `list_services`, it knows exactly what packages your salon offers. It can write TypeScript or Python scripts that reference active service IDs, saving you from hardcoding values that might change tomorrow.

Automate scheduling logic directly inside your editor

Building a custom mobile app for your shop is faster when Cursor can run `create_appointment` to book appointments directly from your workspace. You can watch the system create a booking, verify it with `get_appointment`, and debug the response payload instantly. You can also test edge cases, like double-booking a groomer. The agent pulls the active schedule with `list_appointments` to ensure your custom script handles conflicts gracefully before you push to production.

Build internal dashboard tools with an MCP Server

If you are building a custom internal dashboard for your reception desk, this MCP Server lets Cursor query `list_customers` to pull real client data. You can populate your local UI components with actual client profiles and pet histories using `list_pets` to verify design layouts. Instead of writing complex API wrappers from scratch, let the editor pull the raw data structures for you. It reads your customer reviews with `list_reviews` and maps them directly to your front-end components in seconds.

Setup guide

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

.cursor/mcp.json
{
  "mcpServers": {
    "moego-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 MoeGo. 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

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

Built-in savings

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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 MoeGo MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the server settings. Once saved, enable Agent mode in your editor chat to start querying your salon data.
Yes, you can write scripts that call `create_appointment` and have your editor run them against your sandbox. This lets you inspect the exact JSON response and debug errors in real-time.
The editor uses the `list_staff` tool to pull current employee profiles directly into your workspace. You can use this data to build custom scheduling algorithms or assign tasks programmatically.
You can ask the editor to find a pet, and it will run `get_pet` or search the list via `list_pets`. This pulls up breed, weight, and owner details directly in your active sidebar.
No, your salon's customer contact details and pet records are handled through local environment variables and secure API tokens. The editor only queries these data points during active chat sessions, and no customer data is stored on external developer servers.

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