Kontent.ai (Enterprise Headless CMS) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kontent.ai (Enterprise Headless CMS) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Kontent.ai (Enterprise Headless CMS) Assistant",
instructions=(
"You help users interact with Kontent.ai (Enterprise Headless CMS). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kontent.ai (Enterprise Headless CMS)"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Kontent.ai (Enterprise Headless CMS) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kontent.ai (Enterprise Headless CMS), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Kontent.ai (Enterprise Headless CMS) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Kontent.ai (Enterprise Headless CMS)
Why Use OpenAI Agents SDK with the Kontent.ai (Enterprise Headless CMS) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kontent.ai (Enterprise Headless CMS) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Kontent.ai (Enterprise Headless CMS) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kontent.ai (Enterprise Headless CMS) MCP Server delivers measurable value.
Automated workflows: build agents that query Kontent.ai (Enterprise Headless CMS), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kontent.ai (Enterprise Headless CMS), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kontent.ai (Enterprise Headless CMS) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kontent.ai (Enterprise Headless CMS) to resolve tickets, look up records, and update statuses without human intervention
Kontent.ai (Enterprise Headless CMS) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Kontent.ai (Enterprise Headless CMS) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Kontent.ai (Enterprise Headless CMS) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kontent.ai (Enterprise Headless CMS) + OpenAI Agents SDK FAQ
Common questions about integrating Kontent.ai (Enterprise Headless CMS) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Kontent.ai (Enterprise Headless CMS) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Kontent.ai (Enterprise Headless CMS) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.