Optimizely MCP Server
Manage A/B tests and feature flags via Optimizely — list projects, track experiments, and toggle features directly from any AI agent.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.
* 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
What is the Optimizely MCP Server?
The Optimizely MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Optimizely via 10 tools. Manage A/B tests and feature flags via Optimizely — list projects, track experiments, and toggle features directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Optimizely
Ask your AI agent "List all Optimizely projects in my account." and get the answer without opening a single dashboard. With 10 tools connected to real Optimizely data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Optimizely MCP Server capabilities
10 toolsGet details for a specific experiment
Get details for a specific feature flag
Get details for a specific project
List defined audiences in a project
List conversion events in a project
List experiments in a project
List feature flags in a project
List all Optimizely projects
Set experiment status to paused
Set experiment status to running
What the Optimizely MCP Server unlocks
Connect your Optimizely account to any AI agent and take full control of your experimentation and feature management workflows through natural conversation.
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.
How it works
1. Subscribe to this server
2. Enter your Optimizely Personal Access Token
3. Start managing your experiments from Claude, Cursor, or any MCP client
Who is this for?
- Product Managers — quickly check the status of an experiment or toggle a feature flag while reviewing product requirements.
- Growth Engineers — audit experiment configurations and audience definitions during implementation.
- Data Scientists — retrieve experiment metadata and event definitions for analysis tasks.
Frequently asked questions about the Optimizely MCP Server
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.
More in this category
USDA NASS
8 toolsAccess US agricultural statistics via USDA NASS — query crop yields, livestock data, farm economics and demographics from any AI agent.
BrandMentions
9 toolsMonitor social listening and brand mentions via BrandMentions — track keywords, manage projects, and list influencers directly from any AI agent.
Snapchat Ads Alternative
9 toolsManage your Snapchat Ads campaigns — audit accounts, ad squads, and stats via AI.
You might also like
Pennylane
13 toolsManage French accounting workflows via Pennylane — track invoices, customers, suppliers, and synchronize estimates dynamically using AI.
Worldpay
9 toolsProcess payments, manage refunds, and audit settlements on Worldpay — the global leader in payment processing technology.
BlazeMeter
10 toolsAutomate continuous performance testing via BlazeMeter — manage workspaces, trigger load tests, and analyze active run metrics securely via AI.
Connect Optimizely 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.
Give your AI agents the power of Optimizely MCP Server
Production-grade Optimizely MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.