How to Use the MediaSilo MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK system find specific video files in MediaSilo?

Yes, your agent uses searchassets to scan your library for specific filenames or metadata tags. Once found, it calls getasset to retrieve the technical specs of the media file.

Q: How does the OpenAI Agents SDK handle folder navigation in MediaSilo?

The agent runs listprojects to identify the correct workspace, then calls listfolders to map out the internal structure. This allows it to locate files without hardcoded paths.

Q: Can I audit who has access to my review links?

Run listquicklinks to retrieve all active review links, then use getquicklink to check the details of each link. You can compare this data with listusers to verify user permissions.

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Connect MediaSilo MCP to OpenAI Agents SDK

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

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Fast video search via OpenAI Agents SDK

`search_assets` acts as the entry point for your agent to locate specific raw footage or final cuts across your entire library. Instead of clicking through folders, your agent parses the search query, matches it against your media library, and returns only the relevant files. You can then use `get_asset` to pull down the exact metadata, including file sizes, upload dates, and resolution specs. This setup cuts out manual search time entirely, feeding accurate asset details directly into your downstream agent loops.

Automated project tracking with this MCP Server

`list_projects` lets your agent map out your work structure by pulling the active workspace hierarchy. Your agent scans the directory tree using `list_folders` to verify that assets land in the correct destination. If a file goes missing, `get_project_assets` extracts the complete inventory of a specific project for instant verification. This mechanism prevents version control errors before you send work to clients.

Secure client feedback loops

`get_quicklink` retrieves active sharing URLs so your agent can monitor reviewer access and feedback. If you need to audit what has been shared externally, `list_quicklinks` provides a clean record of all active review links. Your agent can then cross-reference these links with `list_users` to ensure only authorized team members have access. This MCP loop keeps your external sharing secure without requiring manual dashboard audits.

Setup guide

Set up MediaSilo 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 MediaSilo tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate MediaSilo 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="MediaSilo Agent",
            instructions="You have access to MediaSilo 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 MediaSilo. 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 MediaSilo MCP in OpenAI Agents SDK

Install the SDK and register the MCP Server using the HTTP streamable parameter. Use the context manager to let your agent auto-discover all ten media tools on startup.

Yes, your agent uses `search_assets` to scan your library for specific filenames or metadata tags. Once found, it calls `get_asset` to retrieve the technical specs of the media file.

The agent runs `list_projects` to identify the correct workspace, then calls `list_folders` to map out the internal structure. This allows it to locate files without hardcoded paths.

Run `list_quicklinks` to retrieve all active review links, then use `get_quicklink` to check the details of each link. You can compare this data with `list_users` to verify user permissions.

Your video metadata, folder names, and Quicklink records stay within your local runtime and the secure Vinkius sandbox. No media files or credentials are ever stored on external servers, keeping your pre-release content private.

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