GrowthBook MCP. Control flags and environments without touching a dashboard.
GrowthBook MCP manages feature flags and experiments directly from your AI agent. Use this connector to control environments, toggle product features on or off, and organize entire experimentation roadmaps without ever opening a dashboard. It lets you run complex flag logic using natural language prompts.
Give Claude and any AI agent real-world access
Turn any feature flag on or off across specific environments with a single command.
Create, read, update, or delete entire projects to keep your product experimentation organized.
List all configured environments—like production and staging—to verify where flags are deployed.
Generate new feature flags for upcoming product features directly through your agent.
Ask an AI about this
Waiting for input…
What AI agents can do with GrowthBook MCP: 15 Tools for Flag Management
Use these tools to manage the full lifecycle of product features, including creating flags, controlling environments, and auditing project states.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using GrowthBook MCPCreate Environment
Builds a brand-new GrowthBook environment for testing purposes.
Create Feature
Creates and registers a new feature flag in the system.
Create Project
Sets up an organized container for related features and experiments.
Delete Environment
Removes a specified GrowthBook environment from the system.
Delete Feature
Permanently deletes an existing feature flag.
Delete Project
Deletes all associated resources within a project container.
Get Feature
Retrieves the current settings and metadata for one specific feature flag.
Get Project
Fetches all details about a specific project using its ID.
List Environments
Gives a complete list of every environment configured (e.g., production, staging).
List Features
Lists all available feature flags and their current status.
List Projects
Shows a list of every organized project within GrowthBook.
Toggle Feature
Switches the state of a feature flag (on or off) for immediate testing.
Update Environment
Makes changes to an existing environment's configuration settings.
Update Feature
Partially modifies the metadata or targeting rules for a feature flag.
Update Project
Edits the name, description, or settings of an existing project container.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with GrowthBook, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GrowthBook. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The Dashboard Nightmare
Right now, rolling out a simple feature flag change requires context switching. You jump from your IDE to the GrowthBook dashboard, then maybe into an environment selector, and finally click through multiple toggle switches just to confirm it’s live in staging. This process is tedious, slows development down, and invites human error.
With this MCP, you talk to your agent instead. You simply tell it what needs changing—for example, 'Toggle the new-hero-banner flag ON for beta testers.' Your agent handles all the necessary clicks, environment checks, and API calls automatically. The result is immediate confirmation, keeping you focused on code.
Control Feature Flag State with GrowthBook MCP
The ability to `get_feature` details or use the agent to `list_environments` immediately solves the headache of 'Where is this flag supposed to be active?' You don't have to guess which dashboard is correct; you just ask your agent for the facts.
You gain conversational control over complex infrastructure. It’s not about clicking buttons anymore—it’s about issuing direct, verifiable commands that keep your release cycles fast and reliable.
What GrowthBook MCP does for your AI
Need to switch a feature flag for beta testing? You don't want to navigate three separate dashboards just to turn something on in production, then check if it worked in staging. This MCP connects your GrowthBook account to any AI agent, letting you manage all your product flags and experiments via simple conversation.
It lets you organize the entire experimentation roadmap by creating projects or auditing every configured environment across your stack. Need to know what flags are active? You can pull a detailed list of features or retrieve deep metadata for specific project IDs instantly. This is how development teams maintain flow, managing infrastructure changes and flag rollouts without context switching.
If your current AI client supports Vinkius, you'll get access to this full catalog right where you are working.
019e38a4-8edc-73c4-ae89-00c90c874c49 How to set up GrowthBook MCP
The bottom line is that you talk to it using plain English, and it executes complex infrastructure commands for you.
Subscribe to this MCP and enter your GrowthBook Secret Key.
Connect the service to any compatible AI client (like Cursor or Claude).
Ask your agent to perform an action, like 'Toggle the dark mode flag in staging'—it handles the rest.
Who uses GrowthBook MCP
Product Managers who hate clicking through dashboards; DevOps Engineers tired of manual environment audits; or Engineering Leads needing to manage feature rollouts without leaving their IDE.
Toggling a flag for internal testing or checking the status of an experiment without logging into a separate dashboard.
Running audits to list all configured environments and verifying project structures via natural language queries.
Creating new feature flags or updating project metadata directly from the code editor to keep development flow uninterrupted.
Benefits of connecting GrowthBook MCP
Saves time by eliminating manual clicks. Instead of navigating to the GrowthBook UI, you simply ask your agent to toggle a feature flag or list all project details, keeping you in your current workflow.
Reduces human error dramatically. You never have to copy/paste environment names or remember which specific version needs updating; just tell your agent what you want done and it handles the context.
Speeds up rollouts. Need to check if a beta feature is active only on staging? Use your agent to list all environments, then ask to toggle the flag—all in one conversational flow.
Better project organization. Instead of guessing where related flags live, you can use the MCP to create new projects or list existing ones, keeping your entire experimentation roadmap clean and auditable.
Deep inspection is instant. Need to know exactly what a feature's current targeting rules are? Use the get_feature tool to pull detailed metadata without opening any deep-dive settings pages.
GrowthBook MCP use cases
Checking Status Before a Demo
The PM needs to confirm that the 'checkout-v2' feature flag is correctly enabled in the production environment before a client demo. They prompt their agent: 'List all environments and check the status of checkout-v2.' The MCP responds immediately with confirmation, saving them 15 minutes of dashboard digging.
Emergency Feature Kill Switch
A bug is found in a newly released feature. Instead of rushing through multiple tabs to disable it, the engineer asks their agent: 'Toggle the new-checkout-flow flag to OFF in production.' The change happens instantly and audibly.
Roadmap Cleanup
The team finished testing an old feature. Instead of leaving behind clutter, the lead prompts the agent to delete both the associated project container and the specific flags using delete_project and delete_feature, keeping GrowthBook clean.
Environment Drift Detection
The DevOps team suspects one environment is misconfigured. They use the MCP to list all environments, quickly spotting that 'staging' hasn't been updated with the latest settings, prompting them to run update_environment.
GrowthBook MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Using manual API calls for simple toggles
Writing a shell script that contains dozens of lines just to check if the 'beta-user' flag is on in production. This code is brittle and hard to read.
Just ask your agent: 'Toggle the beta-user feature flag to ON in production.' The MCP handles the complex API interaction, keeping your script clean and readable.
Overwriting project settings accidentally
Manually changing a global setting for an entire group of features without realizing it impacts other unrelated projects.
Use get_project first to fetch the specific details and check scope. Then, use update_project only on the intended container.
Forgetting which environment is active
Assuming that because a feature flag works in your local test setup, it's live in production. You waste time debugging in the wrong place.
Always start by calling list_environments to get a definitive list of all deployed environments before attempting any change.
When to use GrowthBook MCP
Use this MCP if your core problem is managing feature flag state across multiple, distinct product environments (dev, staging, production). It's perfect for teams that need instant auditability and conversational control over infrastructure settings. Don't use it if you just need to run a simple data query (use a database connector instead). Also, don't use it if your only goal is tracking user adoption metrics—that requires an analytics tool. This MCP is specifically for control and state management; its job is telling the system what to do, not analyzing how many people did it.
Frequently asked questions about GrowthBook MCP
How do I list all environments using GrowthBook MCP? +
You ask your agent to perform the 'list environments' action. It returns a complete, up-to-date catalog of every environment configured in your account (like dev and production).
Can I update project settings with GrowthBook MCP? +
Yes, you can use update_project to edit an existing container's details. This lets you organize your experimentation roadmap by changing descriptions or name tags.
Does GrowthBook MCP only work for toggling features? +
No. It handles the full lifecycle, allowing you to create flags with create_feature, audit them with get_feature, and even delete them completely using delete_feature.
What if I need to check which features exist? +
Use the 'list features' tool. This pulls a comprehensive list of every flag you have, letting you verify existence before trying to toggle or update anything.