MCP
Model Context Protocol lets you connect your Large Language Model (LLM) to external data. Follow this guide to connect your LLM to your Bucket data.
Get started with Bucket MCP
The Model Context Protocol (MCP) is an open protocol that provides a standardized way to connect AI models to different data sources and tools. In the context of Bucket, MCP enables your development environment to understand your feature flags, their states, and their relationships within your codebase. This creates a seamless bridge between your feature management workflow and AI-powered development tools.
Connect your editor
Use this quick install link for Visual Studio Code to add the MCP directly to your VS Code user settings.
To install the MCP in Cursor or another editor, see Manual setup below.
Manual setup
Below you can find the manual setup steps for some popular editors. More MCP compatible clients.
Open Cursor.
Go to
Settings > MCP
.Click
Add new global MCP server
and paste theSSE
config:
Save, go back to Cursor, and start prompting!
Open VS Code.
Open the command palette, typically
CMD + SHIFT + P
orCTRL + SHIFT + P
.Type and select
MCP: Add Server...
.Select
HTTP (server-sent events)
.Enter
http://localhost:8050/sse
the Server URL.Enter
Bucket
as the Server ID.Select either
User Settings
orWorkspace Settings
.Start prompting!
Open Cursor Desktop.
Go to
Settings > Developer
.Click
Edit Config
, openclaude_desktop_config.json
and paste theSTDIO
config:
Save, restart Claude Desktop, and start prompting!
Additional notes
MCP is in a very early stage of development, and changes are frequent. If something isn't working, please check out the Model Context Protocol Website and open an issue ticket here.
We're looking into hosting the Bucket MCP server for you, making the setup even easier!
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