How to Use the Tubular MCP in OpenAI Agents SDK

Q: How do I check for audience overlap using Tubular and OpenAI Agents SDK?

You call getaudienceoverlap when you need to analyze shared audiences between entities. It returns a precise list of common viewers, letting you focus your efforts on the most valuable intersections.

Q: Can I find out who watched a video using Tubular and OpenAI Agents SDK?

Absolutely. The getvideodemographics tool lets you run an analysis for any specific video. It returns detailed information about the viewers, including age and geography.

Q: What kind of audience data does this Tubular MCP Server touch?

This server primarily touches audience demographics when you run the getvideodemographics tool. This includes age, gender, and geographic location information for viewers.

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Connect Tubular MCP to OpenAI Agents SDK

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

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Analyze Competitor Reach Using MCP Server

Need to benchmark against rivals? The `search_creators` tool lets you look up any creator by name or keywords. This starts the process of seeing who's dominating a niche, giving you immediate leads for deeper analysis. You can pair that search with `get_creator_trends` to see if their popularity is rising or falling. It’s quick work: find the target, then track the momentum.

Track Audience Overlap With OpenAI Agents SDK

Figure out who you're actually talking to across different groups. You run `get_audience_overlap` when you want to analyze shared audiences between two or more entities. It pinpoints the common ground, so your next campaign hits the sweet spot. This is key for knowing where marketing efforts pay off. If you use this with `list_sponsors`, you can match potential partners to the audience segments that overlap most.

Get Full Video Performance Metrics

Want a deep dive on a specific piece of content? Use `get_video_insights` for all-around performance data. This single tool gives you a full picture—metrics, engagement rates, and more—so you don't have to juggle five different dashboards. You can also call `get_video_demographics` right after that. It tells you exactly who watched the video, which is way better than just knowing how many people saw it.

Setup guide

Set up Tubular 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 Tubular tools at runtime.
3

Create your Agent

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

Run the agent

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

You call `get_audience_overlap` when you need to analyze shared audiences between entities. It returns a precise list of common viewers, letting you focus your efforts on the most valuable intersections.

Absolutely. The `get_video_demographics` tool lets you run an analysis for any specific video. It returns detailed information about the viewers, including age and geography.

You have access to several tools here. You can get general summaries via `get_creator_summary`, or you can look at their historical growth using `get_creator_trends`.

The server handles video metrics and demographics. Your AI client only interacts with defined endpoints, keeping your usage contained to specific tool calls.

This server primarily touches **audience demographics** when you run the `get_video_demographics` tool. This includes age, gender, and geographic location information for viewers.

Use it with your favorite AI tools

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