Kontent.ai 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 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 Assistant",
instructions=(
"You help users interact with Kontent.ai. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kontent.ai"
)
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 MCP Server
Connect your AI agent to Kontent.ai Delivery API to fetch and analyze your modular content.
The OpenAI Agents SDK auto-discovers all 10 tools from Kontent.ai through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kontent.ai, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Content Item Retrieval — Fetch the full modular content of any item by its codename
- Schema Auditing — List and examine content types to understand your project's data model
- Taxonomy Access — Query taxonomy groups and terms for content categorization
- Asset Discovery — Locate images and files stored in your content library
- Smart Search — Perform filtered searches across your entire delivery repository
Simple Setup
1. Subscribe to this server
2. Get your Project ID from Kontent.ai (Project Settings > API keys)
3. (Optional) Enter your Delivery API Key if Secure Access is enabled
4. Start querying your content via natural language
The Kontent.ai 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 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Kontent.ai 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
Why Use OpenAI Agents SDK with the Kontent.ai MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kontent.ai 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 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kontent.ai MCP Server delivers measurable value.
Automated workflows: build agents that query Kontent.ai, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kontent.ai, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kontent.ai tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kontent.ai to resolve tickets, look up records, and update statuses without human intervention
Kontent.ai MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Kontent.ai to OpenAI Agents SDK via MCP:
get_content_item
Get a specific content item by codename
get_content_type
Get details for a content type
get_content_type_element
g., options for a multiple choice element). Get metadata for a specific element in a type
get_taxonomy_group
Get details for a taxonomy group
list_content_assets
ai. Query assets from the content library
list_content_items
Use this to find codenames for specific articles, products, or pages. List all content items from Kontent.ai
list_content_types
List all content types (schemas)
list_project_languages
List supported languages
list_taxonomies
List taxonomy groups
search_kontent_ai
Search for content using query parameters
Example Prompts for Kontent.ai in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kontent.ai immediately.
"List the last 10 content items in Kontent.ai"
"Show the schema for content type 'article'"
"Search for items related to 'Winter Sale'"
Troubleshooting Kontent.ai MCP Server with OpenAI Agents SDK
Common issues when connecting Kontent.ai 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 + OpenAI Agents SDK FAQ
Common questions about integrating Kontent.ai 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 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 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.