How to Use the Kontent.ai MCP in Windsurf

Q: How do I search for specific assets using Kontent.ai in Windsurf?

You just ask Cascade to find what you need. It uses the listcontentassets tool to query your library and returns the file references directly in your chat window.

Let Cascade pull live content directly into your Windsurf workspace without leaving the IDE.

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Connect Kontent.ai MCP to Windsurf

Create your Vinkius account to connect Kontent.ai to Windsurf 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 Windsurf

Ask AI about this MCP

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Claude

Perplexity

Autonomous content discovery in Windsurf

Cascade reads your schema and fetches data on its own. It uses `list_content_types` to map your project structure before you even ask for a specific article. Once Cascade understands your content model, it uses `list_content_items` to grab the exact data needed for your frontend components. It handles the mapping so you don't have to write manual fetch logic.

Context-aware content inspection

Stop digging through the web dashboard to find metadata. Cascade runs `get_content_item` to pull specific codenames or field values directly into your active file. When you need to verify how an element is structured, Cascade triggers `get_content_type_element`. It presents the options and constraints right in your editor so you can update your types with confidence.

Search and audit your MCP Server data

Use natural language to find buried information across your project. Cascade chains `search_kontent_ai` to find items matching your specific query parameters without manual filtering. It also uses `list_taxonomies` to audit your content organization. Cascade organizes these results in the chat panel, letting you see the full hierarchy of your taxonomy groups instantly.

Setup guide

Set up Kontent.ai MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Kontent.ai MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Kontent.ai payment history." If connected, Cascade will call the Kontent.ai tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.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 Windsurf

You just ask Cascade to find what you need. It uses the `list_content_assets` tool to query your library and returns the file references directly in your chat window.

Yes, Cascade can iterate through items using the provided tools. It runs `list_content_items` to collect the data, then processes the results within your current context window.

Not really. You just add the server configuration in the Cascade settings UI and click refresh. The tools are discovered and ready for your agent to use immediately.

Your API tokens are handled securely by the Vinkius infrastructure. The connection ensures that only your authorized agent can interact with your project data.

It accesses your content items, taxonomies, and asset metadata. It only reads these records to provide context to your agent and never modifies your production content.

Use it with your favorite AI tools

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

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