How to Use the Kontent.ai MCP in Claude Code

Q: How do I list my content items using Kontent.ai and Claude Code?

Run your request in the terminal and Claude Code will call listcontentitems. It will output the list directly to your console for you to review.

Q: Is the Kontent.ai setup process different for Claude Code?

You use the standard claude mcp add command in your terminal. Once configured, you can call the tools directly from your shell scripts.

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Connect Kontent.ai MCP to Claude Code

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Setup Kontent.ai with Claude Code

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Headless content retrieval in Claude Code

Run automated scripts that pull content directly from your headless CMS. Claude Code uses `list_content_items` to generate reports or seed your local development environment. It connects to your project via the terminal and executes these calls in sequence. This is perfect for CI/CD tasks where you need to verify content availability.

Automated schema auditing

Use your terminal to audit your content types across environments. Claude Code calls `list_content_types` to check for updates and ensures your codebase matches the current schema. It fetches specific field details with `get_content_type_element`. This allows you to write shell scripts that validate your data structures automatically.

Query content directly from the CLI

Filter your project data without leaving your terminal session. Claude Code uses `search_kontent_ai` to find specific items based on your query flags. It handles the output of these tools so you can pipe the results into other CLI utilities. This makes managing your content lifecycle from the command line straightforward.

Setup guide

Set up Kontent.ai MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see kontentai-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Kontent.ai transactions." It will automatically discover and invoke the available Kontent.ai tools.

Terminal

claude mcp add --transport http kontentai-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about Kontent.ai MCP in Claude Code

Yes, you can script search queries using the CLI. Claude Code will execute the search and return the JSON output for your pipeline to process.

Run your request in the terminal and Claude Code will call `list_content_items`. It will output the list directly to your console for you to review.

You use the standard `claude mcp add` command in your terminal. Once configured, you can call the tools directly from your shell scripts.

The server uses a single endpoint token managed by Vinkius. This keeps your credentials out of your local config files while granting your agent access.

It only interacts with the content records you request, such as items and taxonomies. It does not write to your CMS, keeping your data footprint read-only.

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