Kontent.ai (Enterprise Headless CMS) Connector for AI agents.
10 live capabilities
Manage enterprise headless CMS content and localization through natural conversation.
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Why people use Kontent.ai (Enterprise Headless CMS)
Kontent.ai for Headless CMS Content Orchestration
With this Connector, you just tell your agent to 'publish the French version of the product page.' It handles the navigation and the transition to Published status in one go. You get your content live without the UI fatigue.
What Vinkius changes
You get a direct conversational bridge to manage your entire headless CMS lifecycle.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Updating localized landing pages
A content editor needs to update the Portuguese version of a landing page.
- Real-world use case 02
Verifying content schemas
A developer needs to check the fields for a new blog post type.
- Real-world use case 03
Auditing taxonomy trees
An architect needs to see all available tags.
Complete set · 10capabilities
The complete Kontent.ai (Enterprise Headless CMS) capability set.
These are the exact actions your AI can choose when you ask it to work with Kontent.ai (Enterprise Headless CMS).
01—04
4 capabilities in this set.
Part of 10 available through Kontent.ai (Enterprise Headless CMS).
- 01 Capability
Upsert item
Create or update a top-level content item container. This sets up the shell for your content.
- 02 Capability
Get item
Get metadata for a specific Kontent.ai item using its codename. This helps you quickly check what's inside a container.
- 03 Capability
Get taxonomy
Fetch details and nested terms for a specific Taxonomy group. Use this to understand how your tags are organized.
- 04 Capability
Get content type
Pull the exact structural fields of a specific Content Type. This is perfect for verifying your schema.
05—07
3 capabilities in this set.
Part of 10 available through Kontent.ai (Enterprise Headless CMS).
- 05 Capability
List assets
See a list of all uploaded Media Assets and Document files. It's the fastest way to grab cloud URLs.
- 06 Capability
List items
View every content item currently in your Kontent.ai environment. Use this to get a bird's-eye view of your project.
- 07 Capability
List taxonomies
Browse all hierarchical Taxonomies like tags or categories. This helps you see your full organizational structure.
08—10
3 capabilities in this set.
Part of 10 available through Kontent.ai (Enterprise Headless CMS).
- 08 Capability
List content types
See all Content Type schemas registered in your environment. It lets you audit your available content structures.
- 09 Capability
Publish variant
Move a specific language variant to the Published status. This makes your content live on your delivery APIs immediately.
- 10 Capability
Upsert language variant
Update the actual content fields for a specific language. This is how you change the text people actually read.
Set up in minutes
One URL. Then ask Kontent.ai (Enterprise Headless CMS) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Kontent.ai (Enterprise Headless CMS) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ooA5rzXFtX2VlU5zvxQglzTdCam5cEL0LSqso5sU/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Kontent.ai (Enterprise Headless CMS), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Kontent.ai (Enterprise Headless CMS) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ooA5rzXFtX2VlU5zvxQglzTdCam5cEL0LSqso5sU/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Kontent.ai (Enterprise Headless CMS) URL.
- Step 03
Save and start
Save the connection and enable Kontent.ai (Enterprise Headless CMS) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"kontentai-enterprise-headless-cms": {
"url": "https://edge.vinkius.com/vk_preview_ooA5rzXFtX2VlU5zvxQglzTdCam5cEL0LSqso5sU/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
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
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"kontentai-enterprise-headless-cms": {
"url": "https://edge.vinkius.com/vk_preview_ooA5rzXFtX2VlU5zvxQglzTdCam5cEL0LSqso5sU/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Kontent.ai (Enterprise Headless CMS)
Ask Copilot: "Using Kontent.ai (Enterprise Headless CMS), help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"kontentai-enterprise-headless-cms": {
"url": "https://edge.vinkius.com/vk_preview_ooA5rzXFtX2VlU5zvxQglzTdCam5cEL0LSqso5sU/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Kontent.ai (Enterprise Headless CMS)
Open Cascade and ask: "Using Kontent.ai (Enterprise Headless CMS), help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"kontentai-enterprise-headless-cms": {
"url": "https://edge.vinkius.com/vk_preview_ooA5rzXFtX2VlU5zvxQglzTdCam5cEL0LSqso5sU/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Kontent.ai (Enterprise Headless CMS)
Ask Cline: "Using Kontent.ai (Enterprise Headless CMS), help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add kontentai-enterprise-headless-cms --transport http "https://edge.vinkius.com/vk_preview_ooA5rzXFtX2VlU5zvxQglzTdCam5cEL0LSqso5sU/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Kontent.ai (Enterprise Headless CMS)
Ask Claude: "Using Kontent.ai (Enterprise Headless CMS), show me...". 10 tools are ready
Where the request belongs
Work Kontent.ai can move forward.
This is for the content team that's tired of the friction between the CMS UI and the final production environment. It's for people who need to move fast without breaking the content schema.
Digital Content Editor
Updates and publishes localized content variants without logging into the CMS dashboard.
Content Architect
Audits taxonomy trees and verifies content type schemas across different environments.
Frontend Developer
Inspects content types to ensure accurate mapping in downstream applications.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsKontent.ai
Manage content items, types, and taxonomies via Kontent.ai's Delivery and Management APIs directly from your AI agent.
GatherContent
Manage structured content projects, track items, and oversee workflows via AI agents with GatherContent.
Contentful
Equip your AI agent to fetch, create, and manage digital content effortlessly using Contentful's headless architecture.
Amplience
Connect your Amplience CMS to your AI agent. query hubs, pull content, edit schemas, and deploy live items easily via chat.
Flotiq
Manage headless content via Flotiq. create and search content objects, handle media assets, audit schemas, and track tenant limits directly from any AI agent.
Zesty.io
Manage content models, items, and instances via the Zesty.io API.
Bring your own AI
Change the model, client or framework. Keep Kontent.ai connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Kontent.ai.
The practical details behind the request, access and result.
Can the Kontent.ai MCP update multiple languages at once?
Yes, it can update specific fields for different languages one by one or in sequence, making it easy to manage multi-region content.
Does the Kontent.ai MCP help with publishing content?
Yes, you can move variants from Draft to Published status to make them live on your delivery APIs immediately.
Can I use the Kontent.ai MCP to check my content schema?
Yes, it lets you inspect Content Type definitions to see exactly which fields and blocks are available in your project.
How does the Kontent.ai MCP handle media?
It can list all your uploaded media assets and documents so you can get their cloud URLs quickly without browsing the dashboard.
Is the Kontent.ai MCP good for large enterprise CMS projects?
Yes, it's designed for enterprise-grade headless CMS environments with complex taxonomy and content orchestration needs.
Can I use the Kontent.ai MCP to organize my tags?
Yes, it lets you manage and list all your hierarchical taxonomy groups to keep your assets organized and easy to filter.
Can I update the actual text of an item using my agent?
Yes. Use the upsert_language_variant capability. While upsert_item creates the container, the variant capability 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 capability 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 capability 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.
One connection away
Give your agent a direct line to Kontent.ai.
Connect Kontent.ai once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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