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How to Use the Wistia MCP in OpenAI Agents SDK

Manage video assets and analytics with your OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Wistia MCP to OpenAI Agents SDK

Create your Vinkius account to connect Wistia 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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Analyze account performance using Wistia MCP Server

The agent fetches overall site metrics using `get_account_analytics`. You immediately see account-wide stats without running manual reports. This is great for quickly checking how things are trending across all content. You can also scope down the data retrieval by first listing available assets with `list_videos` and then getting granular details on a specific piece of media using `get_video_details`.

Manage project lifecycles via MCP Server

Need to start a new initiative? The agent handles creation instantly with the `create_project` tool. It also gives you visibility into existing work by allowing you to list all projects using `list_projects`. This keeps your development environment clean and organized. If something changes, you can pull up project metadata using `get_project_details` to confirm scope and ownership.

Retrieve detailed video performance data

To see how a specific video is performing, the agent executes `get_video_stats`. You get deep analytics on views and engagement right away. It's faster than logging into the platform. If you need to tweak something—like updating descriptive text or tags—you just run `update_video_details` and it handles the write operation.

Setup guide

Set up Wistia 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. 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. 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 Wistia tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Wistia 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="Wistia Agent",
            instructions="You have access to Wistia tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wistia. 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 Wistia MCP in OpenAI Agents SDK

The agent uses the `list_projects` tool. It pulls a clean, actionable list of every project associated with your account. This helps you know exactly what assets are available for management.
You can pull two types of performance data: broad, site-wide stats via `get_account_analytics`, or deep metrics on a single video asset through the `get_video_stats` tool. It gives you visibility at both levels.
Yep, absolutely. The agent calls `update_video_details`. You give it the video ID and the new metadata, and it handles the modification. It keeps your content description up to date automatically.
Yes, you use `list_video_captions`. This tool pulls all available caption data and lists them out. It’s perfect when your agent needs to process transcribed content.
The server primarily handles video metadata, project details, account analytics, and video performance statistics. This includes information about assets, viewing stats, and descriptive text.

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