Best Social Media CLI Tools for Developers (2026)

Use social media CLI tools to script research, prepare posts, and schedule publishing from a terminal. Compare their platform support, agent output, and content-generation features before you choose one.
Reels Farm TeamMCP & AI Agents7 min readUpdated
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Social media CLI tools let developers script posting, research, and account tasks from a terminal. Some also connect to AI agents. Their platform support and write features vary, so check which commands can read data, publish, or schedule posts.

1. ReelsFarm CLI

ReelsFarm CLI treats social media like infrastructure your AI agent can control.

`reelsfarm avatars generate --prompt "creator selfie style"` creates an AI avatar. `reelsfarm slideshows prepare` builds a TikTok slideshow. `reelsfarm posts list --json` returns your content as structured data your agent can parse and act on.

Every command that spends credits or publishes content goes through prepare-then-confirm. The agent creates a draft. You review in the terminal or your AI coding tool. You approve. It executes. Nothing happens without confirmation.

The CLI and TypeScript SDK are open source under MIT. The generation infrastructure behind it is paid. You get auditable client code and pay for the compute that creates content.

Install: `npm install -g @reelsfarm/mcp-client`. Auth: API key or OAuth 2.1. Platforms: TikTok, Instagram, YouTube, Facebook.

2. Postiz CLI

Postiz Agent supports 30+ platforms and returns structured output for agent workflows.

The documented CLI can list connected integrations, create and schedule posts, upload media, and return analytics. For example, `postiz posts:create` accepts command options or a JSON campaign file.

Postiz also has a web dashboard and a separate MCP connection. Check the current docs for the right authentication and workflow for your use case.

Postiz is a fit for developers who need broad distribution. Its current product offers media-generation features through supported agent connections, so check whether you need the CLI or MCP route.

3. Taisly Agent Kit

Taisly is built for video publishing from the terminal.

The official workflow checks connected accounts, validates a video payload, then creates a post and checks its status. For example, `taisly posts:validate --video ./launch.mp4 --platforms <platform-id> --description "Launch day"` validates a video. `taisly posts:create` publishes or schedules it.

The JSON-first design suits AI agents and shell scripts. The package includes a CLI, SDK, local MCP server, and hosted MCP option.

The Agent Kit docs cover validating and publishing supplied video files. They do not list video generation as a capability.

4. Typefully CLI

Third-party Typefully CLI packages handle writing workflows from the terminal. Typefully also documents an official API for managing drafts and publishing.

One CLI package supports drafting, scheduling, and managing posts across X, LinkedIn, Threads, Bluesky, and Mastodon. Check the maintainer and package documentation because the CLI is separate from Typefully's official API.

This route can suit writing-focused accounts that need a terminal workflow.

5. Crossmind CLI

Crossmind CLI focuses on token-efficient output for AI agent consumption.

Crossmind lists 15 integrations and uses compact output by default, with `--json` available. Its README shows write support for only some integrations; many commands are for reading or research.

Check the repository's platform table before treating it as a general-purpose posting CLI.

Why the Terminal Wins

Use the terminal when you need repeatable commands, scripts, or continuous-integration jobs. ReelsFarm documents CLI and agent workflows for account checks, content preparation, and scheduling. See how to use ReelsFarm CLI with GitHub Actions for a pipeline example. Use a dashboard when you need a visual review or editing step.

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