Can I check the winning variation of an A/B test through the agent?

Yes. The `get_campaign_results` tool allows your AI agent to pull detailed performance metrics for any experiment, showing improvement percentages and statistical significance for each variation compared to the control.

Is it possible to enable or disable feature flags via chat?

Absolutely. Using the `toggle_feature_flag` tool, you can instruct your agent to enable or disable any feature flag for a specific rollout or emergency kill-switch scenario, ensuring fast control without opening the VWO dashboard.

How can I see what conversion goals are being tracked for my campaigns?

You can use the `list_conversion_goals` tool to retrieve all metrics and KPIs (like clicks, form submissions, or revenue) currently being monitored in your VWO account.

VWO MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: VWO
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect VWO through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to VWO "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in VWO?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every VWO tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the VWO MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from VWO with type-safe schemas

Why Use Pydantic AI with the VWO MCP Server

Pydantic AI provides unique advantages when paired with VWO through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your VWO integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your VWO connection logic from agent behavior for testable, maintainable code

VWO + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the VWO MCP Server delivers measurable value.

Type-safe data pipelines: query VWO with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple VWO tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query VWO and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock VWO responses and write comprehensive agent tests

VWO MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect VWO to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting VWO to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

VWO + Pydantic AI FAQ

Common questions about integrating VWO MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your VWO MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.