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Growthbook

MCP Server for interacting with GrowthBook - an open source feature flagging and experimentation platform

View in the Claude registry
Integration details

Description

The GrowthBook MCP Server enables AI assistants to interact with GrowthBook, an open source feature flagging and experimentation platform. Create feature flags, set up A/B tests, analyze experiment results, and manage your experimentation workflow directly from your AI coding assistant. ## Usage Examples Ask Claude to: 1. Create a feature flag called `new-checkout` that defaults to `false` 2. Summarize my last 20 experiments 3. Create an A/B test comparing two checkout button colors - control with `#007bff` and variation with `#28a745` 4. Search the GrowthBook docs for how to set up a fact metric

Integration type
Connector
Verification status
Verified connector
Platform
Claude
Category
Developer Tools

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Product Analytics & Experimentation

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Unknown
First tracked
2026-04-17
Tool count
18
Geography
US

Claude Discoverability Score

Growthbook isn’t discoverable through Claude’s Connector picker

It runs as a local Claude Desktop Extension, so Claude cannot surface or score it there today.

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No spam. Unsubscribe any time.

What the current score measures

Claude showing a list of relevant Connectors in a conversation

Remote Connectors Claude can surface from the Connector picker.

How this score is measured
Adobe Customer Journey Analytics45/100
Amplitude16/100
BrizzPending VerificationGet notified
Contentsquare2/100
EvaristPending VerificationGet notified
GrowthbookLocal Extension · Not scored
Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
Tools

18 tools agents can invoke

Growthbook FAQ
How do I improve a Verified connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.