Where do I find my Personal Access Token?

In Optimizely, go to **Profile Settings** > **API Access** and generate a new Personal Access Token. Ensure it has the necessary permissions for the projects you want to manage.

Can I start an experiment that is in draft mode?

Yes, using the `start_experiment` tool will attempt to set the status to 'running'. However, Optimizely requires the experiment to be valid and fully configured before it can transition from draft to running.

How do I find my Project ID?

You can use the `list_projects` tool to see all projects associated with your account along with their IDs. You can also find it in the URL when viewing a project in the Optimizely dashboard.

Optimizely MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: Optimizely
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Optimizely as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="optimizely_agent",
            tools=tools,
            system_message=(
                "You help users with Optimizely. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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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 Optimizely MCP Server

Connect your Optimizely account to any AI agent and take full control of your experimentation and feature management workflows through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Optimizely tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Project Overview — List all projects and retrieve detailed metadata to maintain a clear view of your workspace.
Experiment Management — List experiments, check current status (running, paused, draft), and retrieve detailed configurations.
Feature Flag Tracking — List feature flags and inspect their definitions across different projects.
Audience & Event Auditing — List defined audiences and conversion events to verify your targeting and tracking setup.
Live Controls — Start or pause experiments directly through the agent to react quickly to results or issues.

The Optimizely MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 Optimizely to AutoGen via MCP

Follow these steps to integrate the Optimizely MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Optimizely automatically

Why Use AutoGen with the Optimizely MCP Server

AutoGen provides unique advantages when paired with Optimizely through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Optimizely tools to solve complex tasks

Role-based architecture lets you assign Optimizely tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Optimizely tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Optimizely tool responses in an isolated environment

Optimizely + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Optimizely MCP Server delivers measurable value.

Collaborative analysis: one agent queries Optimizely while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Optimizely, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Optimizely data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Optimizely responses in a sandboxed execution environment

Optimizely MCP Tools for AutoGen (10)

These 10 tools become available when you connect Optimizely to AutoGen via MCP:

get_experiment

Get details for a specific experiment

get_feature_flag

Get details for a specific feature flag

get_project

Get details for a specific project

list_audiences

List defined audiences in a project

list_events

List conversion events in a project

list_experiments

List experiments in a project

list_feature_flags

List feature flags in a project

list_projects

List all Optimizely projects

pause_experiment

Set experiment status to paused

start_experiment

Set experiment status to running

Example Prompts for Optimizely in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Optimizely immediately.

"List all Optimizely projects in my account."

"Check the status of all experiments in project 12345."

"Pause experiment 67890 in project 12345."

Troubleshooting Optimizely MCP Server with AutoGen

Common issues when connecting Optimizely to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Optimizely + AutoGen FAQ

Common questions about integrating Optimizely MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Optimizely tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.