Compatible with every major AI agent and IDE
Get content type on Kontent.ai (Enterprise Headless CMS)
Retrieve the exact structural fields of a specific Content Type
Get item on Kontent.ai (Enterprise Headless CMS)
Retrieve metadata for a specific Kontent.ai item by codename
Get taxonomy on Kontent.ai (Enterprise Headless CMS)
Get details and nested terms for a specific Taxonomy group
List assets on Kontent.ai (Enterprise Headless CMS)
List uploaded Media Assets and Document files
List content types on Kontent.ai (Enterprise Headless CMS)
List all Content Type schemas registered in the environment
List items on Kontent.ai (Enterprise Headless CMS)
ai project space. List all content items in the Kontent.ai environment
List taxonomies on Kontent.ai (Enterprise Headless CMS)
List all hierarchical Taxonomies (tags/categories)
Publish variant on Kontent.ai (Enterprise Headless CMS)
Publish a specific language variant of an item to Delivery APIs
Upsert item on Kontent.ai (Enterprise Headless CMS)
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 on Kontent.ai (Enterprise Headless CMS)
g. `default`). This places the variant into Draft status. Update the actual content fields of an item for a specific language
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Kontent.ai (Enterprise Headless CMS) Capabilities for AI Assistants
Securely interface Claude Code, ChatGPT, and Cursor with the Kontent.ai (Enterprise Headless CMS) API through semantic routing and standardized natural language triggers.
Automating content orchestration with AI
Integrate the Kontent.ai (Enterprise Headless CMS) server to handle content orchestration requests natively. It provides the schemas required for ChatGPT and Cursor to manage collaboration data.
AI-Driven enterprise cms Workflows
Provide Claude Code and Cursor with read and write access to enterprise cms. The Kontent.ai (Enterprise Headless CMS) toolkit handles all necessary routing for collaboration integrations.
Kontent.ai (Enterprise Headless CMS). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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