Can I update the actual text of an item using my agent?

Yes. Use the `upsert_language_variant` tool. While `upsert_item` creates the container, the variant tool allows you to populate the specific content fields (`elements`) for a given language, placing the item into Draft status.

How do I make my draft content live on the website?

The `publish_variant` tool transitions a specific language variant from Draft to Published. This makes the content immediately accessible to your frontend applications via the public Delivery APIs.

Can my agent help me understand which fields are in a content model?

Absolutely. Use the `get_content_type` tool by providing the type codename. Your agent will perform a schema introspection and list all available elements, allowing you to understand the exact structure you need to populate.

Kontent.ai (Enterprise Headless CMS) MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: Kontent.ai (Enterprise Headless CMS)
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Kontent.ai (Enterprise Headless CMS) and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

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

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Kontent.ai (Enterprise Headless CMS) MCP Server

Connect your Kontent.ai project to any AI agent and take full control of your enterprise-grade headless CMS and content orchestration through natural conversation.

Cursor's Agent mode turns Kontent.ai (Enterprise Headless CMS) into an in-editor superpower. Ask Cursor to generate code using live data from Kontent.ai (Enterprise Headless CMS) and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Item Orchestration — List and retrieve content item containers, and create or update top-level item shells defining types and codenames directly from your agent
Variant Management — Update actual content fields (elements) for specific languages (e.g., English, Portuguese), moving variants into Draft status securely
Publishing Workflow — Transition specific language variants from Draft to Published status to make content immediately live via Delivery APIs
Schema Introspection — Discover and inspect Content Type definitions to understand available fields, scalar parameters, and required element blocks
Taxonomy & Tags — Manage hierarchical taxonomy groups used to classify and filter your content assets for better organizational structure
Media Audit — List uploaded media assets and document files to retrieve precise identifiers and cloud URLs for frontend delivery

The Kontent.ai (Enterprise Headless CMS) MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Kontent.ai (Enterprise Headless CMS) to Cursor via MCP

Follow these steps to integrate the Kontent.ai (Enterprise Headless CMS) MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Kontent.ai (Enterprise Headless CMS)

Open Agent mode in chat and ask: "Using Kontent.ai (Enterprise Headless CMS), help me...". 10 tools available

Why Use Cursor with the Kontent.ai (Enterprise Headless CMS) MCP Server

Cursor AI Code Editor provides unique advantages when paired with Kontent.ai (Enterprise Headless CMS) through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Kontent.ai (Enterprise Headless CMS) + Cursor Use Cases

Practical scenarios where Cursor combined with the Kontent.ai (Enterprise Headless CMS) MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Kontent.ai (Enterprise Headless CMS) MCP Tools for Cursor (10)

These 10 tools become available when you connect Kontent.ai (Enterprise Headless CMS) to Cursor via MCP:

get_content_type

Retrieve the exact structural fields of a specific Content Type

get_item

Retrieve metadata for a specific Kontent.ai item by codename

get_taxonomy

Get details and nested terms for a specific Taxonomy group

list_assets

List uploaded Media Assets and Document files

list_content_types

List all Content Type schemas registered in the environment

list_items

ai project space. List all content items in the Kontent.ai environment

list_taxonomies

List all hierarchical Taxonomies (tags/categories)

publish_variant

Publish a specific language variant of an item to Delivery APIs

upsert_item

Note: this does not update the language variant fields (the actual content text)—use upsert_language_variant for that. Create or update a top-level content item container

upsert_language_variant

g. `default`). This places the variant into Draft status. Update the actual content fields of an item for a specific language

Example Prompts for Kontent.ai (Enterprise Headless CMS) in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Kontent.ai (Enterprise Headless CMS) immediately.

"List all content items in our project"

"Publish the 'default' variant for item 'q4_roadmap'"

"What are the structural fields for the 'Article' content type?"

Troubleshooting Kontent.ai (Enterprise Headless CMS) MCP Server with Cursor

Common issues when connecting Kontent.ai (Enterprise Headless CMS) to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Kontent.ai (Enterprise Headless CMS) + Cursor FAQ

Common questions about integrating Kontent.ai (Enterprise Headless CMS) MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.