Kontent.ai Connector for AI agents.
10 live capabilities
Fetch and manage headless CMS content with your personal assistant.
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Why people use Kontent.ai
Kontent.ai for headless CMS content audits
With this Connector, you just ask your agent to describe the content model. It pulls the schemas and taxonomy groups instantly, giving you a clear picture of your data structure without the manual clicking.
What Vinkius changes
You get a natural language interface for your entire Kontent.ai delivery repository.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Content Audit
A content manager needs to know all content types in a project.
- Real-world use case 02
Asset Hunting
A designer needs a specific image.
- Real-world use case 03
Taxonomy Mapping
A developer needs to know the categories for a blog.
Complete set · 10capabilities
The complete Kontent.ai capability set.
These are the exact actions your AI can choose when you ask it to work with Kontent.ai.
01—04
4 capabilities in this set.
Part of 10 available through Kontent.ai.
- 01 Capability
List content items
Find codenames for specific articles, products, or pages. It helps you identify the right content quickly.
- 02 Capability
Get content item
Get a specific content item by its codename. Use this to pull the full data for a single page or article.
- 03 Capability
List content types
List all content types. This gives you a full overview of your project's schemas.
- 04 Capability
Get content type
Get details for a content type. This shows you the structure and elements of your content model.
05—07
3 capabilities in this set.
Part of 10 available through Kontent.ai.
- 05 Capability
List taxonomies
List taxonomy groups. Use this to see how your content is categorized across the site.
- 06 Capability
Get taxonomy group
Get details for a taxonomy group. This pulls the specific terms and labels for a category.
- 07 Capability
List project languages
List supported languages. See every language your project currently supports in one go.
08—10
3 capabilities in this set.
Part of 10 available through Kontent.ai.
- 08 Capability
List content assets
Query assets from the content library. Use this to find images, files, and other media.
- 09 Capability
Search kontent ai
Search for content using query parameters. This lets you find specific items based on your search criteria.
- 10 Capability
Get content type element
Get metadata for a specific element in a type. This is useful for seeing options like multiple choice fields.
Set up in minutes
One URL. Then ask Kontent.ai to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Kontent.ai 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_RHPKSkjWKzcGtG2RsrCEiLCsL40xpag39Ae5gsji/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, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Kontent.ai for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_RHPKSkjWKzcGtG2RsrCEiLCsL40xpag39Ae5gsji/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 URL.
- Step 03
Save and start
Save the connection and enable Kontent.ai in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"kontentai": {
"url": "https://edge.vinkius.com/vk_preview_RHPKSkjWKzcGtG2RsrCEiLCsL40xpag39Ae5gsji/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
Open Agent mode in chat and ask: "Using Kontent.ai, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"kontentai": {
"url": "https://edge.vinkius.com/vk_preview_RHPKSkjWKzcGtG2RsrCEiLCsL40xpag39Ae5gsji/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
Ask Copilot: "Using Kontent.ai, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"kontentai": {
"url": "https://edge.vinkius.com/vk_preview_RHPKSkjWKzcGtG2RsrCEiLCsL40xpag39Ae5gsji/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
Open Cascade and ask: "Using Kontent.ai, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"kontentai": {
"url": "https://edge.vinkius.com/vk_preview_RHPKSkjWKzcGtG2RsrCEiLCsL40xpag39Ae5gsji/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
Ask Cline: "Using Kontent.ai, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add kontentai --transport http "https://edge.vinkius.com/vk_preview_RHPKSkjWKzcGtG2RsrCEiLCsL40xpag39Ae5gsji/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
Ask Claude: "Using Kontent.ai, show me...". 10 tools are ready
Where the request belongs
Work Kontent.ai can move forward.
The content manager who's tired of clicking through multiple CMS tabs to find a single asset. The developer who needs to understand a content schema without digging through documentation. The marketing lead who needs to audit content types for a new site launch.
Content Strategist
Audits schemas to ensure content models align with brand goals and information architecture.
Frontend Developer
Pulls modular content items to populate web components and dynamic pages.
Marketing Ops
Searches for specific images and assets to build campaign materials and social posts.
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.
Kontent.ai (Enterprise Headless CMS)
Manage enterprise content via Kontent.ai. create items, publish language variants, and audit content types.
Contentful
Equip your AI agent to fetch, create, and manage digital content effortlessly using Contentful's headless architecture.
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.
Agility CMS
Manage and query your Agility CMS content through AI. navigate sitemaps, search lists, and fetch layouts.
Amplience
Connect your Amplience CMS to your AI agent. query hubs, pull content, edit schemas, and deploy live items easily via chat.
Bring your own AI
Change the model, client or framework. Keep Kontent.ai connected.
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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 help me audit my content types?
Yes, it can list all your content types and schemas so you can see exactly how your data is structured.
Can I use this to find images in my Kontent.ai library?
Yes, the agent can query your content assets to find specific images or files based on your requests.
Does the Kontent.ai MCP let me create new content?
No, this Connector is for reading data from the Delivery API. It's meant for fetching, searching, and auditing content.
How do I connect my Kontent.ai project to the agent?
You just need your Project ID and an API key from your Kontent.ai settings to get started.
Can it search for specific articles by keyword?
Yes, it can perform filtered searches across your entire content repository using your natural language prompts.
Is this useful for mapping out my site's categories?
Yes, it can list all your taxonomy groups and terms so you can see how your content is organized.
Where do I find my Project ID?
Log in to Kontent.ai, go to Project Settings > API keys, and copy the Project ID.
What is a codename?
A codename is a unique, URL-friendly identifier for content items, types, or elements (e.g., 'about_us_page').
Is the Delivery API Key mandatory?
Only if you have enabled Secure Access in your project settings. Otherwise, the Project ID is enough.
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.
Explore every Connector No credit card required · Free tier available