What website is this?
Publora turns social media publishing into a callable interface: developers or AI agents use REST or MCP to wire posting, scheduling, and data checks into one pipeline across roughly ten platforms, including Instagram, LinkedIn, Bluesky, Threads, and X. It is not the same path as “click publish in a dashboard” social suites—it leans toward scripts, cron jobs, and agent orchestration. Teams already on MCP clients such as Cursor or Claude often skip writing per-platform SDK and OAuth glue.
Key Features
- Publish text, images, videos, or carousels to multiple platforms with a single HTTPS request
- Expose an MCP server so AI assistants can call tools for scheduling, analytics, and account management
- Manage a content calendar and drafts to plan cross-platform posts in advance
- Run platform-specific format checks before posting to reduce failures from length or attachment limits
- Use built-in AI editing and topic suggestions, informed by past content when available
- Let agencies isolate client accounts, content, and permissions in separate workspaces
Use Cases
- A solo developer calls the API from CI/CD or cron to push release notes to LinkedIn and Bluesky automatically.
- A marketer connects Publora MCP in Cursor and uses plain language to review next week’s schedule and shift a LinkedIn post time.
- A small team drafts in one editor, adapts formatting per platform, then schedules posts across multiple accounts.
- An agency creates separate workspaces per client to manage multi-account schedules without mixing content in one panel.
Who is it for?
- Developers and small teams that need social publishing inside automation pipelines
- Users on MCP-compatible AI assistants who want less integration code
- Content operators or light agencies maintaining accounts across many platforms
- May not fit: people who post manually once in a while and do not want API or AI integration
- May not fit: workflows that depend on deep, platform-native features beyond a unified API
- May not fit: ops-heavy teams focused on visual review workflows or CRM-style client reporting
How It Compares to Similar Tools?
Publora weights “programmable publishing + MCP-native” access, unlike traditional dashboard-first schedulers that suit non-technical daily ops. The latter fits calendar views, multi-person review, and asset libraries; the former fits scripts, agents, and orchestration tools like n8n. If you need one call from a backend or AI to reach many networks, Publora’s positioning aligns better. Three quick checks: do you need REST/MCP, a unified interface across ~ten platforms, and can you accept free-tier limits on accounts and some platforms?
What Our Customers Say
Alex (Backend Developer)
When wiring the API, they look at OAuth and multi-platform error handling first; with MCP, they verify tools cover scheduling and analytics so agents are not “post-only.”
Jordan (Solo Creator)
They care how many accounts the free tier allows and whether X is included; when post quotas are tight, they weigh a unified editor against per-account paid upgrades.
Sam (Automation Engineer)
In n8n or custom services, they watch REST stability and SDK-free integration; when platform validation fails, clear logs often decide whether the fit is good enough.
FAQs
Q: Can I use Publora for free?
A: A free Starter tier exists with limited posts and connectable accounts; some platforms or higher limits may require a paid plan—see the official pricing page for details.
Q: Do I have to write code to use it?
A: No. Besides the REST API, you can schedule and edit in the web UI; with an MCP-compatible AI client, you can manage posts and schedules in natural language.
Q: Which social platforms are supported?
A: The site lists about ten, including Instagram, TikTok, YouTube, Facebook, Threads, Bluesky, X, Mastodon, LinkedIn, and Telegram; free-tier platform coverage may differ—check current docs.
Q: How is it different from tools like Buffer or Hootsuite?
A: Those emphasize visual scheduling and ops collaboration; Publora emphasizes API and MCP so publishing can live inside scripts, CI, or AI agent workflows.
