How to Use the HeyGen MCP in OpenAI Agents SDK
Ship production video generation workflows with the OpenAI Agents SDK using this managed MCP connection.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HeyGen MCP to OpenAI Agents SDK
Create your Vinkius account to connect HeyGen 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.
Trigger Studio Renders via MCP Server
The `generate_video` tool lets your agent construct custom video payloads from scratch. You pass scenes and avatar configurations as a JSON string directly into the API. Your agent calls `list_avatars` beforehand to grab the correct ID, ensuring the chosen presenter matches your brand guidelines exactly. Since you build with OpenAI's guardrails, you can enforce strict validation on the JSON structure before the agent executes the call. If the agent tries to request an avatar that does not exist, the framework catches the error and triggers a handoff to a fallback agent or prompts a human reviewer.
Map Variables to Existing Templates
Use `list_templates` to fetch available video layouts and `get_template_details` to read their variable definitions. Once your agent knows the required fields, it fires `generate_from_template` with a JSON string mapping those variables to actual text. This method runs much faster than building scenes from scratch. You can set up a specialized agent just for template rendering, keeping your tracing logs clean in the OpenAI dashboard. This MCP integration isolates the generation logic from your main reasoning loop.
Polling and Multilingual Processing
Your agent calls `get_video_status` to check on a render and extracts the URL once the endpoint returns completed. This prevents the system from hanging; the agent can do other work while the video processes in the background. Pass an existing video into `translate_video` by defining the configuration in the body. The agent handles the lip-sync instructions automatically based on the target language, letting you scale a single video across multiple regions without manual editing.
Set up HeyGen 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 HeyGen tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives HeyGen tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate HeyGen 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="HeyGen Agent",
instructions="You have access to HeyGen 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 HeyGen. 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 HeyGen MCP in OpenAI Agents SDK
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