Introducing the VWO FME MCP Server that enables AI-Driven Feature Management and Experimentation with Code-Aware Context.
With this integration, as developers code, AI agents understand the context, create and manage flags, integrate SDKs, and manage rollouts, all through natural language.
No dashboards. No switching tools. No writing boilerplate. From prompt to production, it’s fully automated.
This powerful integration brings the full capabilities of VWO Feature Flags to AI agents like Cursor IDE, VS Code, and Claude.
Why did we build this?
Teams today want to move at the speed of ideas, and the rise of AI-powered development has redefined what’s possible. However, feature management workflows remain behind the curve compared to dashboards, APIs, SDKs, and coordination loops. That’s where the VWO FME MCP Server comes in.
We built this to:
- Turn AI agents into fully-featured experimentation assistants.
- Automate end-to-end flag creation without the need for a UI for manual setup.
- Empower IDEs to provide AI with rich context via rules files and guide smarter SDK integration.
- Eliminate tool-switching and let developers test AI-generated code effortlessly, no VWO UI knowledge required.
With the VWO FME MCP Server, experimentation becomes conversational, enabling teams to build faster, test smarter, and ship confidently.
Deeper context with IDE-Based integration rules
Get started with VWO FME MCP by running the one-time “Add VWO Rules” tool, which sets up IDE-level rules files to capture project-specific context, enabling AI agents to make intelligent, context-aware decisions and integrate the VWO’s Feature Experimentation SDK with greater precision and confidence.
With these rules in place:
- AI agents can intelligently determine how to integrate the VWO SDK within your existing architecture
- Implementation is more reliable, with reduced guesswork and fewer integration errors
- Feature flag workflows align seamlessly with your team’s coding standards and project structure
What you can do with VWO FME MCP
- Prompt-Based Flag Creation in Code (Cursor IDE / VS Code)
As you write code, AI suggests using VWO Feature Experimentation to control the feature, create flags inline without leaving your flow. No boilerplate, no manual setup. - Natural Language Flag Management
Simply prompt this: “Create a flag named checkout_experience with new and original variations. Roll it out to 20% on the staging environment.”
It’s that simple to manage flags – no UI, no backend ops, to get a ready-to-use flag for testing. - Live Experiment Monitoring
Just ask: ”What’s the current rollout status of homepage_redesign in the production environment?” Get real-time answers. - Democratized Rollouts for Non-Devs
Product, QA, or growth teams can utilise AI tools like Claude to control flags. - Instant Integration Testing
Now just prompt: “Create a ready-to-use flag called test_login_ui”
With just that, you can test the VWO SDK setup in seconds. - Prompt-Based Rollbacks
Just tell the AI: “Turn off payment_flow_experiment in production.”
The AI will revert the flag instantly, without deploying any code. - Smart Flag Suggestions & Seamless SDK Integration
Minimize cognitive load with AI-assisted flag planning. Code confidently and let the customized IDE rules do the magic.
From code to rollout, VWO FME MCP automates feature flagging with AI. There are no manual steps, no friction, just smart, seamless experimentation.
See it in action:
From prompt to production-ready flag in minutes:
How does this power end-to-end automation
The VWO FME MCP Server is a lightweight service that bridges your AI tools with VWO’s Feature Experimentation APIs. It speaks the Model Context Protocol, making VWO experimentation natively understandable by AI agents. It handles authentication securely via VWO REST APIs.
- Requires no manual setup; everything is ready to use out of the box.
- You can create feature flags, connect tools, and run tests just by describing what you want to happen.
- No need to switch between dashboards, APIs, or different tools.
- Designed to work effortlessly with non-technical tools like Claude and any MCP-compatible AI assistant.
What’s coming next?
We’re just getting started. Here’s a glimpse of what’s on the roadmap:
- Suggestions for Stale Flags
Let AI surface and clean up unused or outdated flags. - Debug SDK Integration
Prompt: “Why is getFlag returning false?”
AI will debug the SDK response with targeting conditions, logs, and flag state. - Deeper Integration with Docs
Prompt-based help, inline guidance, and smart suggestions using the VWO developer documentation.
Ready to try VWO FME MCP?
The VWO FME MCP Server is available for all VWO Feature Experimentation accounts. Whether you’re testing a new flow, building an AI assistant, or scaling experiments across teams, this is your command centre for feature control via conversation.
You can add the VWO FME MCP Server to Cursor IDE by simply clicking the button above. Make sure to update the VWO_ACCOUNT_ID and VWO_API_KEY environment variables before you start using it.
Start building:
🔗 Developer Documentation
🔗 GitHub Repository
For questions, contact us at support@vwo.com or open a GitHub issue.
