Develop faster with AI, safer with GrowthBook
Connect GrowthBook to Claude, Cursor, VS Code, and more to enable feature flags and experimentation for agentic workflows and analysis.
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Add GrowthBook to your AI tool in minutes
Get a GrowthBook API Key
Sign up for a free account or connect to your self-hosted instance. Generate an API key from account settings.
Add the MCP server config
Paste the JSON block into your AI tool’s MCP settings. Works with Cursor, Claude Code, VS Code, and any MCP-compatible tool.
Start prompting
Ask your AI assistant to create flags, check experiments, analyze past experiments. No switching tabs.
Start learning with these prompts
Automatically add feature gates
Set up experiments from your editor
Clean up automatically
Ask Claude for updates
Start planning with a brainstorm
Go from coding velocity to shipping with confidence
Ship fast from your workflow
AI coding tools make it easy to write and deploy features quickly. Feature flags let you control who sees what and measure the impact. With the MCP server, you can automate feature flag setup and you’re one chat away from an experiment.
More context for prompts and agents
The MCP server brings GrowthBook context and capabilities to your AI tool. Bring your policies and templates from GrowthBook to your AI tool for context. Review your entire experimentation program before your next sprint planning session. Reduce technical debt with a stale-flag cleanup agent.
Build a culture of experimentation
Just because you can build it, doesn’t mean you should. Only 20% of product changes have a positive impact on core business metrics. For teams already living in Cursor or Claude Code, GrowthBook fits into your workflow rather than interrupting it.
One platform to analyze, deploy, and measure
Warehouse-native Experimentation
Robust Feature Flags
Powerful Product Analytics
“We don’t need any code changes, we don’t need an app release. We just configure the new tests and launch right away.”
“Our goal was to consolidate everything into a single platform while saving money and ensuring compliance and security.”
“Being able to turn a feature on and off with a flip of a switch is fantastic... That’s so much easier than having to do a deploy or a roll-back.”
“Experimentation showed what customers actually do rather than what we assume they’ll do.”
“People only see the wins, but there’s actually greater value in avoiding losses. We’ve stopped changes that could have cost millions.”
"GrowthBook allowed us to uplevel our code, speed up decision-making, and focus on what we do best—building a world-class AI lending marketplace."
"The fact that we could retain ownership of our data was very, very important. Almost no solutions out there allow you to do that."
“GrowthBook lets us build experiments exactly how we want. The ability to target based on culture and geography, as granular as needed, is a major win for us.”
"The fact that GrowthBook offered us the ability to keep that data in-house was a key reason why we chose to work with them."
"The fact that GrowthBook offered us the ability to keep that data in-house was a key reason why we chose to work with them."
"The fact that we could retain ownership of our data was very, very important. Almost no solutions out there allow you to do that."
“GrowthBook lets us build experiments exactly how we want. The ability to target based on culture and geography, as granular as needed, is a major win for us.”
FAQs
MCP (Model Context Protocol) is a standard that connects AI models with external software, databases, workflows, and tools. GrowthBook launched the first open-source, production MCP server for experimentation and modern product development in early 2025. Bringing feature flags and testing to the AI development environments helps engineering teams measure what they ship without breaking flow.
The MCP standard is being adopted quickly — if your tool supports MCP, it works with GrowthBook’s MCP server.
Yes. GrowthBook’s MCP server is 100% open-source. The code is at github.com/growthbook/growthbook-mcp. Inspect the code, verify the implementation, and contribute improvements.
Yes. The MCP server connects to your GrowthBook instance (cloud or self-hosted) to create and manage feature flags and experiments. Setup takes minutes. See docs.growthbook.io/integrations/mcp for tool-specific instructions.
Yes. Teams use GrowthBook to run A/B tests comparing LLM providers, prompt variations, and model versions — measuring impact on real user metrics rather than benchmark scores. The MCP server lets you set up those experiments from your editor.
The MCP server runs locally on your machine. It only accesses GrowthBook’s public API endpoints. Confirm data privacy with your selected AI tool.
Ready to ship faster?
No credit card required. Start with feature flags, experimentation, and product analytics—free.
