How do I get an Elemeno API Key?

Log in to your Elemeno dashboard, select your project, navigate to **Settings > API**, and you can retrieve your unique API Key from there.

Does the integration support draft content?

Yes, you can use the list_collection_items tool to see all items, including their status (e.g., draft or published). Specific content retrieval depends on your API key permissions.

Can the agent update content via the API?

This integration currently focuses on listing and auditing content. Creating or updating items and singletons should be managed via the Elemeno dashboard or specific management API endpoints.

Elemeno MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Elemeno
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Elemeno through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Elemeno Assistant",
            instructions=(
                "You help users interact with Elemeno. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Elemeno"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Elemeno MCP Server

Integrate Elemeno, the headless CMS designed for developers, directly into your AI workflow. Manage your content collections and singletons (global pages), track individual items and their publishing statuses, monitor field schemas, and oversee your entire content library using natural language.

The OpenAI Agents SDK auto-discovers all 10 tools from Elemeno through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Elemeno, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Collection Oversight — List and retrieve detailed information and field schemas for all your content collections.
Content Intelligence — Monitor individual collection items, resolving titles, slugs, and real-time publishing statuses.
Singleton Management — Access and monitor singleton content blocks, resolving global settings and unique page data.
Content Auditing — Retrieve high-level summaries of collection activity, item counts, and organizational CMS health.

The Elemeno 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 Elemeno to OpenAI Agents SDK via MCP

Follow these steps to integrate the Elemeno 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 Elemeno

Why Use OpenAI Agents SDK with the Elemeno MCP Server

OpenAI Agents SDK provides unique advantages when paired with Elemeno 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

Elemeno + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Elemeno MCP Server delivers measurable value.

Automated workflows: build agents that query Elemeno, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Elemeno, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Elemeno tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Elemeno to resolve tickets, look up records, and update statuses without human intervention

Elemeno MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Elemeno to OpenAI Agents SDK via MCP:

get_collection_details

Get detailed settings and field schema for a specific collection

get_collection_item_details

Get full content and metadata for a specific item in a collection

get_elemeno_account_metadata

Retrieve metadata and limits for your Elemeno account

get_singleton_content

Get the full content data for a specific singleton

list_collection_items

List all content items within a specific collection

list_content_collections

List all content collections configured in your Elemeno account

list_content_singletons

List all singleton content blocks (unique global pages/settings)

list_published_content

Identify items that are currently in a "Published" status

quick_content_volume_audit

Retrieve a high-level summary of collection and singleton activity

search_collection_content

Search for items within a collection using a title or slug keyword

Example Prompts for Elemeno in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Elemeno immediately.

"List all content collections in my project."

"Show me the items in the 'Services' collection."

"What is the content of the 'Contact Page' singleton?"

Troubleshooting Elemeno MCP Server with OpenAI Agents SDK

Common issues when connecting Elemeno to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Elemeno + OpenAI Agents SDK FAQ

Common questions about integrating Elemeno MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.