VWO MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect VWO through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="VWO Assistant",
instructions=(
"You help users interact with VWO. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from VWO"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About VWO MCP Server
Connect your VWO (Visual Website Optimizer) account to any AI agent and take control of your experimentation and feature rollout workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from VWO through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries VWO, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Optimization Campaigns — List and monitor active A/B tests and personalization campaigns directly from your agent
- Feature Management — List all feature flags and toggle their status across different environments for instant rollouts
- Experiment Results — Retrieve statistical results for any campaign, including performance metrics and significance levels
- Conversion Tracking — Browse conversion goals and KPIs being tracked to understand your optimization impact
- Audience Segmentation — List pre-defined segments to see how you are targeting different user groups
- Environment Control — Manage features across staging, production, and other configured VWO environments
The VWO MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect VWO to OpenAI Agents SDK via MCP
Follow these steps to integrate the VWO MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from VWO
Why Use OpenAI Agents SDK with the VWO MCP Server
OpenAI Agents SDK provides unique advantages when paired with VWO through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
VWO + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the VWO MCP Server delivers measurable value.
Automated workflows: build agents that query VWO, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries VWO, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through VWO tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query VWO to resolve tickets, look up records, and update statuses without human intervention
VWO MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect VWO to OpenAI Agents SDK via MCP:
get_campaign_details
Retrieves details for a specific VWO campaign
get_campaign_results
Retrieves statistical results for a VWO campaign
get_feature_flag_details
Retrieves configuration for a specific VWO feature flag
get_vwo_account_info
Retrieves details about the authenticated VWO account
list_audience_segments
Lists all audience segments
list_conversion_goals
g. clicks, revenue) are being tracked. Lists all conversion goals and metrics
list_feature_flags
Lists all VWO feature flags
list_optimization_campaigns
Lists all VWO A/B test and personalization campaigns
list_vwo_environments
g. Production, Staging) for feature flag management. Lists all configured VWO environments
toggle_feature_flag
Provide the feature ID and the desired enabled status (true/false). Enables or disables a VWO feature flag
Example Prompts for VWO in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with VWO immediately.
"List all my active A/B testing campaigns."
"What are the results for the 'Checkout Flow Optimization' campaign?"
"Disable the feature flag for 'new_payment_gateway'."
Troubleshooting VWO MCP Server with OpenAI Agents SDK
Common issues when connecting VWO to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
VWO + OpenAI Agents SDK FAQ
Common questions about integrating VWO MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect VWO with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect VWO to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
