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 CrewAI 10 tools — connect in under 2 minutes

Name: VWO
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to VWO through the Vinkius — pass the Edge URL in the `mcps` parameter and every VWO tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="VWO Specialist",
    goal="Help users interact with VWO effectively",
    backstory=(
        "You are an expert at leveraging VWO tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in VWO "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, VWO becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call VWO tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the VWO MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from VWO

Why Use CrewAI with the VWO MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with VWO through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

VWO + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries VWO for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries VWO, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain VWO tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries VWO against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

VWO MCP Tools for CrewAI (10)

These 10 tools become available when you connect VWO to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

VWO + CrewAI FAQ

Common questions about integrating VWO MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.