Your whole stack,
from the terminal.
Run 100+ typed analytics and commerce tools — GA4, Search Console, Google & Meta Ads, Shopify, WooCommerce, Shopware — straight from your shell. Scriptable, pipeable, and agent-friendly.
Requires Node.js 20+ · Apache-2.0 · sign in once with your browser
Why a CLI
The terminal is an interface too.
Same backend, same typed tools as the MCP server and the app — now in the place engineers already live.
Self-describing, always current
Commands and flags are generated from the live datavessel tool catalog. Add a source or ship a new tool — it appears in the CLI on the next sync, with no release to install.
Scriptable & pipeable
Every command takes --json for machine-readable output. Wire datavessel into cron jobs, CI pipelines, and shell scripts the way you already work.
Built for agents
Ships a SKILL.md so coding agents can drive it directly — inspect tools, run reads, and propose writes from the same typed surface your MCP client uses.
Sign in once
Browser login yields a refreshable session stored at mode 0600 — the CLI silently refreshes the short-lived token. For CI, pass a token or API key instead.
In practice
Reads run free. Writes ask first.
Discover tools, pull data as JSON, and run writes — with a confirmation gate on anything that touches the outside world.
Pass --yes to skip the prompt in automation, or --json anywhere for structured output you can pipe into jq.
Use it with your agent
One file makes it a skill.
The CLI ships a SKILL.md that teaches an agent how to discover tools, run reads, and gate writes. Drop it where your agent looks for skills — then ask in plain language.
Claude Code
Install once at the user level — available in every project. Then: “use datavessel to pull last week's GA4 sessions.”
mkdir -p ~/.claude/skills/datavessel
curl -sL https://raw.githubusercontent.com/djr4/datavessel-cli/main/SKILL.md \
-o ~/.claude/skills/datavessel/SKILL.mdCursor
Add it as a project rule. Cursor's agent picks it up and drives the CLI from the same typed catalog.
mkdir -p .cursor/rules
curl -sL https://raw.githubusercontent.com/djr4/datavessel-cli/main/SKILL.md \
-o .cursor/rules/datavessel.mdcBuilding on the Claude Agent SDK or the API instead? Give the model a shell tool, add SKILL.md to its context, and authenticate headless with DATAVESSEL_TOKEN. The CLI's stable --json output and exit codes are built for it.