Installation & Setup
Install CLI
Download the CLI and authenticate with Ellf.
Connect
Connect Ellf to your coding assistant like Claude Code.
Set up your cluster
Launch your private data processing cluster.
Installation
Make sure you have Python 3.10+ installed and use the following command to install the client. It’s recommended to use a virtual environment.
$pip installellf-cli
This installs the CLI that you and your coding agent can use to set up projects with Ellf, run tasks, actions and agents, and manage your cluster. It also sets up everything you need for your local development environment. Next, you can authenticate and connect Ellf to your coding assistant.
Claude Code Anthropic
Logging in with the --claude flag downloads and sets up everything that’s needed for the Claude Code integration. The custom Ellf skills for the different modules should then show up in your slash commands.
$ellflogin
--claude
Next, add the Ellf MCP server via the claude mcp add command:
$claude mcp addellf
https://mcp.ellf.ai
--transport httpGitHub Copliot Microsoft
Coming soon: This feature is still under construction.
Codex OpenAI
Coming soon: This feature is still under construction.
Cursor
Coming soon: This feature is still under construction.
Other coding assistants
In order to use Ellf, your coding assistant needs to support adding custom skills via Markdown files and MCP server integration. If your coding assistant of choice is compatible, you can always copy over the skill files manually and add the Ellf MCP server.
https://mcp.ellf.aiNote that we’ve currently only tested Ellf with the coding agents and models listed here, so we cannot guarantee that it will work as intended with other models and setups.
Configuration
Coming soon: This feature is still under construction.