How to Use the Videco MCP in OpenAI Agents SDK

Q: What kind of data does Videco touch regarding leads?

The server handles lead details and records via getlead and listleads. This means your agent is working with raw contact information and campaign attribution data. It's all highly structured.

Q: Can I check Videco status using the OpenAI Agents SDK?

Absolutely. You can use the dedicated checkvidecostatus tool to verify API connectivity before launching any major task. This is key for production reliability, letting you know right away if something's wrong.

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Connect Videco MCP to OpenAI Agents SDK

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

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Manage Video Content Lifecycle

Your agent uses `list_videos` and `get_video` to check every existing video record. It can also call `check_videco_status` first, making sure the connection is solid before doing anything else. It sends a request via `create_video` when you need a personalized asset, or pulls detailed performance metrics using `get_video_analytics`.

Create and Track Campaigns

Need to launch something? You'll call `list_campaigns` to see what’s running. Then, use `create_campaign` to set up a new one from scratch. Don't forget that you can also fetch details on any campaign using the `get_campaign` tool. This keeps all your marketing efforts visible. The system lets you run multiple campaigns and check their status with `list_campaigns`.

Capture and View Leads

The agent pulls lead data directly by calling `list_leads`. This gives a clean list of every contact record. You can then drill down into specifics for any single person using `get_lead`. This makes your marketing actions immediately actionable. The system doesn't just store leads; it lets you interact with them through your agent.

Setup guide

Set up Videco 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 Videco tools at runtime.
3

Create your Agent

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

Run the agent

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

The MCP Server exposes all its tools directly to your agent's context. Your agent auto-discovers every function, so you don't write any boilerplate code. It just works when you plug in the endpoint.

The server handles lead details and records via `get_lead` and `list_leads`. This means your agent is working with raw contact information and campaign attribution data. It's all highly structured.

Absolutely. You can use the dedicated `check_videco_status` tool to verify API connectivity before launching any major task. This is key for production reliability, letting you know right away if something's wrong.

Because your agent has built-in guardrails, it validates every action before running. If one step fails—like trying to create a video without credentials—the system stops you and tells you exactly why.

The server manages specific video performance metrics, which your agent accesses via `get_video_analytics`. This includes viewing how many times a video was watched or what engagement rates were seen.

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