How to Use the Gumlet MCP in OpenAI Agents SDK

Q: Can an OpenAI Agents SDK instance handle video uploads through Gumlet?

Yes. The agent calls createvideoupload to fetch a secure upload URL from the API. Your Python application then handles the actual file stream to that destination.

Q: How does the agent handle team management tasks?

The agent uses listorgusers to see who has access to your media assets. It can verify team roles and list active workspace members without you having to build a dedicated user management dashboard.

Let OpenAI Agents SDK build and manage secure video pipelines directly through the Gumlet MCP Server.

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Connect Gumlet MCP to OpenAI Agents SDK

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

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Automated video pipeline with OpenAI Agents SDK

OpenAI Agents SDK can run autonomous media tasks by calling the right endpoints at the right time. Your agent triggers `create_video_upload` when a user drops a file, then monitors the processing state using `get_video_details` without manual polling loops. Your agent handles the entire lifecycle inside your python runtime. It updates video thumbnails via `update_video_thumbnail` once processing finishes, giving you hands-off media ingestion that runs behind your safety guardrails.

Direct analytics tracking through your agent

Stop building custom dashboard views for your internal teams. Connect this MCP Server to your agentic workflows so your team can query raw performance stats directly via chat. The agent calls `get_video_analytics` to pull playback data on demand. It can cross-reference these stats with source folders via `list_video_collections` to generate instant reports on which media assets perform best.

Organization and asset cleanups on autopilot

Let your agent keep your media library tidy. It can fetch active sources using `list_image_sources` and find stale collections with `list_video_collections` to flag unused assets. If an asset needs to go, the agent executes `delete_video` to purge it immediately. It manages your library footprint while keeping your team informed of changes.

Setup guide

Set up Gumlet 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 Gumlet tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the library, then instantiate the server using the MCP transport. Pass this instance into the mcp_servers list when initializing your Agent so the model can auto-discover all 12 media tools.

Yes. The agent calls `create_video_upload` to fetch a secure upload URL from the API. Your Python application then handles the actual file stream to that destination.

Yes, you can set cacheToolsList to true in your configuration. This prevents the agent from making repeated schema discovery requests, making tool execution much faster.

The agent uses `list_org_users` to see who has access to your media assets. It can verify team roles and list active workspace members without you having to build a dedicated user management dashboard.

Your API keys and video metadata never pass through third-party servers. Vinkius runs the integration inside an isolated sandbox, keeping your organization details and media configurations completely private.

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