How to Use the Cincopa MCP in OpenAI Agents SDK

Q: What happens if a gallery template is missing?

The agent calls listcincopatemplates to find a valid alternative. If no match is found, your Python code receives a clear error, allowing your agent to gracefully fall back or ask the user for clarification.

Run production OpenAI Agents SDK pipelines that build Cincopa galleries and manage media assets with strict validation.

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Connect Cincopa MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cincopa 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 Cincopa with OpenAI Agents SDK

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Deploy Cincopa galleries via OpenAI Agents SDK

Your production agents can instantly build new media displays using `create_new_gallery` and `list_cincopa_templates`. The SDK handles the handoff from your user-facing router to a specialized media agent, ensuring the right template is selected without manual intervention. This MCP Server lets your python code monitor gallery layouts by calling `list_cincopa_galleries`. Because OpenAI cache settings are active, your agent checks existing layouts instantly without hitting rate limits.

Secure media ingestion with pre-signed uploads

Instead of handing raw files to your LLM, your agent gets a secure, temporary upload link using `get_media_upload_url`. Your Python pipeline handles the file transfer directly, keeping your agent's context window clean and fast. Once the upload finishes, the agent grabs the asset details with `get_asset_metadata`. This ensures your production database syncs with the exact file size and format details returned by the Cincopa API.

Automated asset pruning with strict guardrails

Your cleanup agent uses an MCP tool to scan for stale videos or images that need to be purged. Before executing anything, the OpenAI Agents SDK runs validation checks to confirm the agent isn't deleting active production media. When validation passes, the agent runs `delete_media_asset` to wipe the file. You track the entire deletion sequence and tool execution logs directly in your OpenAI dashboard.

Setup guide

Set up Cincopa 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 Cincopa tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cincopa 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="Cincopa Agent",
            instructions="You have access to Cincopa tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cincopa. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Cincopa MCP in OpenAI Agents SDK

You register the Cincopa toolset using the streamable HTTP transport in your Python setup. Your agents auto-discover tools like `list_cincopa_assets` and execute them directly within your async run loops.

Yes, you control this at the agent constructor level. You can restrict your media-creation agent to `create_new_gallery` while reserving asset deletion tools for a separate, highly guarded admin agent.

Yes, setting cache tools to true in your server parameters prevents your agent from making redundant schema discovery calls. This keeps your Cincopa media queries fast and reduces latency during complex agent runs.

The agent calls `list_cincopa_templates` to find a valid alternative. If no match is found, your Python code receives a clear error, allowing your agent to gracefully fall back or ask the user for clarification.

All communications run through Vinkius's zero-trust V8 sandbox, which isolates your API keys. Your raw video files and gallery metadata are never stored on the platform, and temporary upload URLs expire automatically.

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