Social media CLI for JSON-first publishing, agents, CI, and cron

A social media CLI is most useful when it behaves like infrastructure, not a pretty dashboard squeezed into a terminal. Agents, CI jobs, release scripts, and cron workflows need deterministic commands, JSON output, clear exit codes, and errors that can be parsed without scraping human-oriented text. They also need the same account and post model your backend uses, otherwise every script becomes a separate integration surface.

bundlesocial-cli is built around that automation path. It lets a shell-out agent create posts, upload media, list accounts, fetch analytics, and schedule content without learning the native API dialect for every platform. The command line becomes a thin operational surface over the same bundle.social API, which means teams can automate publishing without turning bash scripts into long-lived social platform connectors.

Agent runtimes and CI runners do not want tables, prompts, hidden state, or interactive setup in the middle of a workflow. They want one command to produce one structured response that can be piped into jq, stored in a job log, passed to another tool, or summarized by an LLM. Separating JSON on stdout from status text on stderr keeps automation predictable.

That pattern is especially important for social workflows because a successful request is not always the end of the story. A post can be scheduled, processing, failed, retried, or posted later. By returning IDs and structured state, the CLI lets the rest of your system inspect what happened after the command finishes, instead of treating publishing as a blind side effect.

Direct native API scripting can work for one narrow platform, but it becomes painful when the workflow includes media uploads, multiple account types, scheduled content, platform validation, analytics lookups, and customer workspaces. Every platform adds a new credential model, payload shape, media rule, and failure format.

The bundle.social CLI keeps those workflows connected. A script can upload a file, receive an upload ID, create a post for X and LinkedIn, schedule it for later, then fetch analytics after publishing. Human operators can run the same commands during debugging, while agents and CI use them non-interactively. That shared surface makes the CLI practical for production automation rather than just one-off terminal demos.