How to Use the Wistia MCP in OpenAI Agents SDK
Manage video assets and analytics with your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Wistia MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Wistia tools as native definitions — JSON schemas resolve automatically. - 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.
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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Wistia MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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