How to Use the VWO MCP in OpenAI Agents SDK
Automate VWO tests and optimizations directly using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect VWO MCP to OpenAI Agents SDK
Create your Vinkius account to connect VWO 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.
Control Feature Flags with MCP Server
Use `toggle_feature_flag` to enable or disable a specific VWO feature flag. This lets your agent instantly change product behavior for testing groups. You can also check the current status by calling `get_feature_flag_details`. It's perfect for managing rollouts from staging to production.
Analyze A/B Test Performance
Get a full picture of campaign performance. Start with `list_optimization_campaigns` to see all active A/B tests and personalizations. Once you pick one, run `get_campaign_results` to pull the raw stats—conversion rates, click counts, whatever matters.
Discover VWO Assets
Need a list of everything? The agent handles that. Use `list_audience_segments` to see every segment you've built. You can also run `list_conversion_goals`, which tells you exactly what metrics (like clicks or revenue) your team is tracking.
Set up VWO 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 VWO tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives VWO tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate VWO 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="VWO Agent",
instructions="You have access to VWO 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 VWO. 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 VWO MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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Start using the VWO MCP today
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