How to Use the Kontent.ai MCP in Cursor

Q: Can Cursor write code based on my live Kontent.ai schemas?

Yes, by running getcontenttype through this MCP Server, Cursor inspects your live Kontent.ai content models and generates accurate frontend components.

Q: How does Cursor fetch content items from my Kontent.ai project?

The Cursor editor uses listcontentitems or getcontentitem to pull live Kontent.ai JSON payloads directly into your active code files.

Q: Can I search for assets in Kontent.ai while coding in Cursor?

Absolutely, as your Cursor agent executes searchkontentai or listcontentassets to locate images and documents in your Kontent.ai library.

Q: How do I list active Kontent.ai project languages inside Cursor?

Ask your Cursor agent to run listprojectlanguages to retrieve the active locales from your Kontent.ai setup for quick internationalization mapping.

Generate typed code using live Kontent.ai schemas and content items directly inside your Cursor editor.

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Connect Kontent.ai MCP to Cursor

Create your Vinkius account to connect Kontent.ai 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 Kontent.ai with Cursor

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Generate accurate TypeScript types in Cursor

Let your Cursor agent run `get_content_type` and `list_content_types` to inspect the exact schema of your Kontent.ai models. Cursor uses this live Kontent.ai structural data to write matching TypeScript interfaces directly into your local codebase.

Inject live Kontent.ai items into Cursor files

This MCP Server lets your Cursor agent invoke `get_content_item` and `list_content_items` to pull actual Kontent.ai production content into your editor. You can feed this real Kontent.ai JSON directly into your Cursor test suites to ensure your code handles real-world edge cases.

Map Kontent.ai taxonomy groups to Cursor enums

Use Cursor to execute `list_taxonomies` and `get_taxonomy_group` to fetch live categorization tags from your Kontent.ai project. Cursor takes these Kontent.ai taxonomy trees and generates your frontend navigation menus or routing structures automatically.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kontent.ai. 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.

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Common questions about Kontent.ai MCP in Cursor

Yes, by running `get_content_type` through this MCP Server, Cursor inspects your live Kontent.ai content models and generates accurate frontend components.

The Cursor editor uses `list_content_items` or `get_content_item` to pull live Kontent.ai JSON payloads directly into your active code files.

Absolutely, as your Cursor agent executes `search_kontent_ai` or `list_content_assets` to locate images and documents in your Kontent.ai library.

Ask your Cursor agent to run `list_project_languages` to retrieve the active locales from your Kontent.ai setup for quick internationalization mapping.

All communication runs through a zero-trust, isolated sandbox environment where your Kontent.ai API keys, content items, and schemas are never stored or leaked by Cursor.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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