Bucket (Feature Flagging)
Summary
With Bucket's MCP you can flag features directly from the chat window in your code editor. Whether that’s VS Code, Cursor, Windsurf, Claude Code—any IDE that has MCP support.
For example, if you’ve built a “Download CSV” feature and want to flag it, you no longer have to go to bucket.co or use the CLI to create a feature key. Instead, ask the MCP to do it for you: “flag the download button with bucket.”
You can also use the MCP to grant company segments and individual companies or users access to the feature—straight from the chat window. To give “Acme” access, for example, you’d ask something like: “give Acme access to the download csv feature” and Bucket will look up the company name and enable the Download CSV feature for it.
To get started, add the Bucket MCP in your IDE.
Available Actions(11)
bucket init
Initialize a new Bucket configuration in your project. This creates a `bucket.config.json` file with your settings and prompts for any required information not provided via options.
bucket new
All-in-one command to get started quickly. This command combines `init`, feature creation, and type generation in a single step.
bucket login
Log in to your Bucket account. This will authenticate your CLI for subsequent operations and store credentials securely.
bucket logout
Log out from your Bucket account, removing stored credentials.
bucket features create
Create a new feature in your Bucket app. The command guides you through the feature creation process with interactive prompts if options are not provided.
bucket features list
List all features for the current app. This helps you visualize what features are available and their current configurations.
bucket features types
Generate TypeScript types for your features. This ensures type safety when using Bucket features in your TypeScript/JavaScript applications.
bucket companies list
List all companies in your app.
bucket companies features access
Grant or revoke access to specific features for companies, segments, and users.
bucket rules
Set up AI-specific rules for your project. These rules enable AI tools to better understand how to work with Bucket and feature flags.
bucket mcp
Configure your editor or AI client to connect with Bucket's remote MCP server. This allows your AI tools to understand your feature flags and provide more contextual assistance.
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