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Tubular MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Api Health, Get Api Rate Limits, Get Audience Overlap, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Tubular app connector for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Tubular Assistant",
            instructions=(
                "You help users interact with Tubular. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Tubular
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* 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 Tubular MCP Server

Connect your Tubular Labs video intelligence account to any AI agent and simplify how you analyze digital video trends, creator performance, and cross-platform audience metrics through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Tubular through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tubular, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Video Insights — Retrieve detailed performance metrics and trending data for individual videos or categories across social platforms.
  • Creator Intelligence — Search for creators and fetch high-level performance summaries, trends, and audience ratings.
  • Audience Demographics — Analyze audience breakdowns (age, gender, location) for specific videos or creators to refine your targeting.
  • Sponsorship Tracking — List brand sponsors and monitor sponsored video campaigns to understand the competitive landscape.
  • Audience Overlap — Analyze shared audience between two creators or content properties to identify partnership opportunities.
  • Operational Monitoring — Check API health and rate limits to ensure your intelligence engine is always running.

The Tubular MCP Server exposes 12 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.

All 12 Tubular tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Tubular through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-intelligence, audience-insights, competitive-benchmarking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Check API health status

get_api_rate_limits

Get current API rate limits

get_audience_overlap

Analyze shared audience between entities

get_audience_ratings

Get reach and engagement ratings

get_creator_summary

Get summary for a specific creator

get_creator_trends

Get trends for a specific creator

get_video_demographics

) for a specific video. Get audience demographics for a video

get_video_insights

Get insights for a specific video

get_video_trends

List trending videos

list_sponsored_campaigns

List sponsored video campaigns

list_sponsors

List sponsors and brand partners

search_creators

g., name or keywords). Search for creators

Connect Tubular to OpenAI Agents SDK via MCP

Follow these steps to wire Tubular into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Tubular

Why Use OpenAI Agents SDK with the Tubular MCP Server

OpenAI Agents SDK provides unique advantages when paired with Tubular through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Tubular + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Tubular in OpenAI Agents SDK

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

01

"Search for top gaming creators in my region."

02

"Show me the audience overlap between creator 'A-101' and 'B-552'."

03

"List all active sponsored video campaigns from 'TechBrand Inc'."

Troubleshooting Tubular MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Tubular + OpenAI Agents SDK FAQ

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

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.