How to Use the Tavus Video Replicas MCP in OpenAI Agents SDK
Get personalized video replicas running smoothly with the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Tavus Video Replicas MCP to OpenAI Agents SDK
Create your Vinkius account to connect Tavus Video Replicas to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Track Video Job Status on the MCP Server
Running a batch of videos? You don't want to guess if they're ready. The `get_video_details` tool lets your agent check the current state and progress of any video job. It provides specific status updates, so you know exactly when the content is done.
Manage Video Assets with OpenAI Agents SDK
Need to clean up old media? Your agent can call `delete_video` or `delete_replica` directly. This gives your system fine-grained control over generated assets, preventing data bloat and keeping the environment tidy.
List All Available AI Replicas
Before generating anything, you need to know what voices are available. Just calling `list_replicas` gives your agent a complete inventory of all deployed video replicas. This makes it easy for the system to select the right voice model automatically.
Set up Tavus Video Replicas 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 Tavus Video Replicas tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Tavus Video Replicas tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Tavus Video Replicas 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="Tavus Video Replicas Agent",
instructions="You have access to Tavus Video Replicas 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 Tavus. 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 Tavus Video Replicas MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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