How to Use the Zeplo (Queue & Background Job API) MCP in Cursor

Q: How do I handle background jobs with Zeplo (Queue & Background Job API) when coding in Cursor?

You can use enqueuerequest to offload the job, and then write your code assuming that data will arrive later. The agent handles calling the MCP Server tools for you.

Q: Can I view queue status with Zeplo (Queue & Background Job API) inside Cursor?

Yes, getqueue gives you all the metrics and details you need right in your context window. It's perfect for verifying state before committing code.

Q: How do I manage schedules with Zeplo (Queue & Background Job API) using Cursor?

Use createschedule to build the schedule, and then use listschedules to see what's already running. The agent makes calling these tools seamless.

Q: Can I check request details with Zeplo (Queue & Background Job API) in Cursor?

You can pull specific job data using getrequest. This gives you the full timeline, which is critical for debugging complex workflows as you code.

Inject live queue and scheduling data into your code using Cursor's Agent mode.

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Connect Zeplo (Queue & Background Job API) MCP to Cursor

Create your Vinkius account to connect Zeplo (Queue & Background Job API) 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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Setup Zeplo (Queue & Background Job API) with Cursor

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Automating Requests in Code with Cursor

The `enqueue_request` tool lets the AI call Zeplo (Queue & Background Job API) directly, resolving HTTP requests from your token. This means you can write code that relies on background jobs without waiting for them to finish. Because this uses live data responses, the code generated is functional—you aren't working with mock stubs or fake return values.

Managing Jobs within Cursor

You can list all available queues using `list_queues` and then examine details for a specific queue with `get_queue`. This data feeds right into your coding context, letting you write logic against real-world API state. Checking status is easy. Use the MCP Server to gather metrics, which helps you correctly structure error handling in your code.

Scheduling and Timelines for Cursor

Set up complex timing requirements using `create_schedule` or manage existing ones with `update_schedule`. The AI can generate boilerplate code to interact with these schedules. Furthermore, you get a clear view of job lifecycles. Use `get_request` to pull the full timeline details into your current coding session.

Setup guide

Set up Zeplo (Queue & Background Job API) MCP in Cursor

Prerequisites

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

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

Add the Zeplo (Queue & Background Job API) 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

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

Verify the connection

Ask Cursor something like "List my recent Zeplo (Queue & Background Job API) transactions." If the MCP tools are loaded correctly, Cursor will call the Zeplo (Queue & Background Job API) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "zeplo-queue-background-job-api-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Zeplo (Queue & Background Job API) MCP in Cursor

You can use `enqueue_request` to offload the job, and then write your code assuming that data will arrive later. The agent handles calling the MCP Server tools for you.

Yes, `get_queue` gives you all the metrics and details you need right in your context window. It's perfect for verifying state before committing code.

This server touches request history, specifically detailed operational records from queue logs that track HTTP requests processed by Zeplo (Queue & Background Job API).

Use `create_schedule` to build the schedule, and then use `list_schedules` to see what's already running. The agent makes calling these tools seamless.

You can pull specific job data using `get_request`. This gives you the full timeline, which is critical for debugging complex workflows as you code.

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