GrowthBook▌
by growthbook
Manage and optimize feature flags, experiments, and environments in GrowthBook with AI-driven tools for targeting rules
Enables AI to manage feature flags, experiments, environments, and SDK connections in GrowthBook, providing tools for searching documentation, creating targeting rules, and generating implementation code for various programming languages.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Product managers running A/B tests
- / Developers implementing feature flags
- / Teams doing gradual feature rollouts
- / Data analysts reviewing experiment results
capabilities
- / Create and manage feature flags
- / Set up A/B experiments and targeting rules
- / Query experiment results and metrics
- / Generate implementation code for multiple languages
- / Search GrowthBook documentation
- / Manage environments and SDK connections
what it does
Manages GrowthBook feature flags, experiments, and environments through your AI assistant. Lets you create, update, and query A/B tests and feature toggles without leaving your LLM client.
about
GrowthBook is an official MCP server published by growthbook that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage and optimize feature flags, experiments, and environments in GrowthBook with AI-driven tools for targeting rules It is categorized under developer tools.
how to install
You can install GrowthBook in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
GrowthBook is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
GrowthBook MCP Server
With the GrowthBook MCP server, you can interact with GrowthBook right from your LLM client. See experiment details, add a feature flag, and more.
<a href="https://glama.ai/mcp/servers/@growthbook/growthbook-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@growthbook/growthbook-mcp/badge" alt="GrowthBook Server MCP server" /> </a>Setup
Environment Variables Use the following env variables to configure the MCP server.
| Variable Name | Status | Description |
|---|---|---|
| GB_API_KEY | Required | A GrowthBook API key or PAT. When using a PAT, MCP server capabilities are limited by its permissions. E.g., if the user can't create an experiment in the app, they also won't be able to create one with the MCP server. |
| GB_EMAIL | Required | Your email address used with GrowthBook. Used when creating feature flags and experiments. |
| GB_API_URL | Optional | Your GrowthBook API URL. Defaults to https://api.growthbook.io. |
| GB_APP_ORIGIN | Optional | Your GrowthBook app URL Defaults to https://app.growthbook.io. |
| GB_HTTP_HEADER_* | Optional | Custom HTTP headers to include in all GrowthBook API requests. Use the pattern GB_HTTP_HEADER_<NAME> where <NAME> is converted to proper HTTP header format (underscores become hyphens). Examples: GB_HTTP_HEADER_X_TENANT_ID=abc123 becomes X-Tenant-ID: abc123, GB_HTTP_HEADER_CF_ACCESS_TOKEN=<token> becomes Cf-Access-Token: <token>. Multiple custom headers can be configured. |
Add the MCP server to your AI tool of choice. See the official docs for complete a complete guide.
FAQ
- What is the GrowthBook MCP server?
- GrowthBook is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for GrowthBook?
- This profile displays 59 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★59 reviews- ★★★★★Tariq Torres· Dec 20, 2024
I recommend GrowthBook for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Lucas Abebe· Dec 8, 2024
Useful MCP listing: GrowthBook is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ren White· Dec 4, 2024
GrowthBook reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ira Gill· Nov 27, 2024
Strong directory entry: GrowthBook surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ishan Chen· Nov 23, 2024
I recommend GrowthBook for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Kofi Jain· Nov 11, 2024
GrowthBook reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Diya Verma· Oct 18, 2024
I recommend GrowthBook for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Meera Reddy· Oct 14, 2024
Strong directory entry: GrowthBook surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Amina Gonzalez· Oct 2, 2024
Useful MCP listing: GrowthBook is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Fatima Taylor· Sep 25, 2024
According to our notes, GrowthBook benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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