How to Use the Kontent.ai MCP in OpenAI Agents SDK

Q: How do I connect Kontent.ai to OpenAI Agents SDK?

Run pip install openai-agents. Initialize MCPServerStreamableHttp with your Vinkius endpoint URL and pass it to the Agent constructor in the mcpservers list. Set cacheToolsList=True to speed up initialization.

Q: How does OpenAI Agents SDK handle Kontent.ai search?

It uses the searchkontentai tool. You pass standard query parameters, and the agent retrieves the matching content items directly from the API.

Q: Does the OpenAI Agents SDK log Kontent.ai tool calls?

Yes. Every execution of tools like getcontenttypeelement appears in the OpenAI dashboard tracing view. You see exactly what the model requested and what the API returned.

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Connect Kontent.ai MCP to OpenAI Agents SDK

Create your Vinkius account to connect Kontent.ai to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Kontent.ai with OpenAI Agents SDK

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Direct Content Retrieval for OpenAI Agents SDK

`get_content_item` grabs the exact article or product page you need using its codename. Your agent doesn't guess. It pulls the exact JSON structure defined in your Kontent.ai project directly into the context window. `list_content_items` handles the broad strokes. When you need to summarize a dozen blog posts, your agent fetches the batch, parses the text elements, and hands it off to a specialized summarizer.

Audit Schemas Without Leaving Python

`get_content_type` pulls the exact schema definitions into your MCP Server environment. You see exactly which fields are required before your agent attempts to process them. `list_content_types` maps out your entire content architecture. If you are building an agent to validate content completeness, it checks these definitions first to understand the expected structure.

Taxonomy and Asset Resolution

`list_taxonomies` exposes your category trees and tagging structures. Your agent reads these groups to classify incoming requests or filter search results accurately. `list_content_assets` queries the media library. When your agent builds an email template, it pulls the actual image URLs directly from Kontent.ai instead of relying on hardcoded strings.

Setup guide

Set up Kontent.ai MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Kontent.ai tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Kontent.ai tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Kontent.ai tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Kontent.ai Agent",
            instructions="You have access to Kontent.ai tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Kontent.ai MCP in OpenAI Agents SDK

Run `pip install openai-agents`. Initialize `MCPServerStreamableHttp` with your Vinkius endpoint URL and pass it to the Agent constructor in the `mcp_servers` list. Set `cacheToolsList=True` to speed up initialization.

No. This MCP integration is strictly read-only. It exposes tools for fetching and searching content, but it cannot alter your database.

It uses the `search_kontent_ai` tool. You pass standard query parameters, and the agent retrieves the matching content items directly from the API.

Yes. Every execution of tools like `get_content_type_element` appears in the OpenAI dashboard tracing view. You see exactly what the model requested and what the API returned.

Vinkius routes traffic through a zero-trust V8 isolate. Your raw article text and asset URLs remain in memory only during the active request. The container dies immediately after execution.

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