How to Use the Kontent.ai MCP in Claude

Q: Can I search for specific assets in Kontent.ai using Claude Desktop?

Yes, this MCP Server allows Claude Desktop to run searchkontentai or listcontentassets to scan your live Kontent.ai media library. Your desktop agent then extracts the precise file URLs you need.

Q: Does Claude Desktop let me view the active languages in my Kontent.ai project?

It does, as Claude Desktop calls listprojectlanguages to pull all configured localization locales from your Kontent.ai settings. This helps you verify which language variants are ready for translation.

Q: How do I inspect Kontent.ai taxonomy groups inside Claude Desktop?

Ask Claude Desktop to run listtaxonomies or gettaxonomygroup to fetch the live tagging structures from your Kontent.ai workspace. This displays your classification trees directly in your desktop interface.

Pull your Kontent.ai headless content directly into Claude Desktop to run structural audits, check taxonomy tags, and query assets.

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Connect Kontent.ai MCP to Claude Desktop

Create your Vinkius account to connect Kontent.ai to Claude Desktop 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 Claude Desktop

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Audit Kontent.ai schemas inside Claude Desktop

Stop opening your browser just to check how your content models are structured; instead, ask Claude Desktop to pull your active Kontent.ai schemas using `list_content_types` and inspect individual fields with `get_content_type`. This allows Claude Desktop to instantly display your Kontent.ai field keys so you know exactly which codenames to use in your frontend code.

Search Kontent.ai assets from Claude Desktop

Search your entire Kontent.ai asset library directly from Claude Desktop by running `list_content_assets` or executing queries with `search_kontent_ai`. Your Claude Desktop agent retrieves the exact image URLs and file metadata from your Kontent.ai project, letting you reference them in your drafts without leaving the app.

Validate Kontent.ai taxonomies in Claude Desktop

Verify your Kontent.ai taxonomy trees inside Claude Desktop using `get_taxonomy_group` and `list_taxonomies` to ensure your categorization tags match up. This ensures Claude Desktop helps you spot any broken localization settings or missing languages in your Kontent.ai project using `list_project_languages`.

Setup guide

Set up Kontent.ai MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Kontent.ai MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Kontent.ai MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under kontentai-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 Claude Desktop

The Claude Desktop client connects to the MCP Server to run `list_content_items` or `get_content_item` against your Kontent.ai project. This pulls your raw headless JSON data straight into your active desktop chat window.

Yes, this MCP Server allows Claude Desktop to run `search_kontent_ai` or `list_content_assets` to scan your live Kontent.ai media library. Your desktop agent then extracts the precise file URLs you need.

It does, as Claude Desktop calls `list_project_languages` to pull all configured localization locales from your Kontent.ai settings. This helps you verify which language variants are ready for translation.

Ask Claude Desktop to run `list_taxonomies` or `get_taxonomy_group` to fetch the live tagging structures from your Kontent.ai workspace. This displays your classification trees directly in your desktop interface.

Your Kontent.ai headless content, assets, and taxonomy groups never leave your local environment through this MCP Server. The server runs inside Claude Desktop's secure V8 sandbox, processing your CMS API calls locally without external logging.

Use it with your favorite AI tools

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

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