How to Use the Zenkit MCP in Cursor

Q: What if I need to find out what lists exist in Zenkit using Cursor?

The listworkspaces tool lets your agent enumerate all available workspaces and the lists they contain. You pull this list of contexts right into your code setup.

Q: Can I delete old records from Zenkit using Cursor?

Yes, you can use deleteentry. Your code calls this tool, specifies the entry ID, and removes the record from the list. It's great for cleanup scripts.

Q: If I need to check the structure of an entry field in Zenkit using Cursor, what tool is best?

Use listelements. This function provides a clear definition of every available field and its expected data type, ensuring your code compiles correctly.

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Connect Zenkit MCP to Cursor

Create your Vinkius account to connect Zenkit 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 Zenkit with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Determine list schemas for coding.

When you use the `list_elements` tool, your agent pulls back all field definitions. You can immediately write code that knows exactly what keys and data types to expect from Zenkit. This eliminates guesswork. Instead of stubbing out dummy fields, your generated function uses real schema details from the list definition.

Retrieve current records in code.

The `list_entries` tool allows you to fetch all items from a specific Zenkit list. Your AI agent then injects this live JSON data directly into your active function body, ready for processing. This means your generated code uses real-world context, not mock stubs.

Programmatic data modification.

Need to change a record? Use `update_entry` within your script. The agent handles the necessary API calls and writes the updated value back into the Zenkit structure. This capability lets you build robust, transactional code that interacts with external databases without leaving Cursor.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "zenkit-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Zenkit MCP in Cursor

The AI agent calls the tool and injects the live API response directly into your current code block. It's not just a suggestion; it’s functional, real-time data that you can compile with.

The `list_workspaces` tool lets your agent enumerate all available workspaces and the lists they contain. You pull this list of contexts right into your code setup.

Yes, you can use `delete_entry`. Your code calls this tool, specifies the entry ID, and removes the record from the list. It's great for cleanup scripts.

It primarily handles structured records—the entries within a defined list. The agent reads this data and treats it as live context inside your writing code.

Use `list_elements`. This function provides a clear definition of every available field and its expected data type, ensuring your code compiles correctly.

Use it with your favorite AI tools

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