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How to Use the Wistia MCP in OpenAI Agents SDK

Manage Wistia assets and analytics using 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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Project Setup and Management

You can start by running `create_new_project` to organize media. This tool makes sure you have a clean spot for new video assets, keeping your Wistia workflow structured. You'll also manage the lifecycle with `delete_wistia_project`. Just remember that deleting a project loses all contained videos, so double-check before hitting delete.

Fetching Media Details

`get_media_details` pulls comprehensive metadata for any specific Wistia media asset. This tells you everything about the file—the original source, dimensions, and other attributes. Need a list of everything? `list_wistia_medias` gives you every video or audio file currently in your account, so you don't have to manually check folders.

Uploading Content

Need to get a video into Wistia? Use `upload_video_via_url`. You just provide the source URL, pick a target project ID, and give it a name. The server handles downloading and hosting the content for you. If you need to update existing files, remember that `update_media_metadata` lets you change attributes like the description or title using the asset's hashed ID.

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

You use `get_engagement_statistics` to pull detailed viewing data. This tells you exactly who watched what, for how long, and where they dropped off.
Yes, `delete_wistia_project` handles this. Be warned: it's permanent, and every single video inside that project gets lost. It’s irreversible.
The server touches media assets and projects. Specifically, you're working with the metadata of video files, which includes descriptive names and attributes passed via `update_media_metadata`.
You use `list_wistia_medias` to see every asset. This function lists all videos and audio files across your entire Wistia account.
The `get_project_details` tool retrieves all information about a specific project. This includes listing every media asset contained within that folder, which is useful for auditing.

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