PostEverywhere Review 2026

Key takeaways

• PostEverywhere is a social media scheduler whose real differentiator is agent access: a hosted MCP server with 33 tools, a REST API, a Node SDK, and a CLI, all included from the $9/mo Lite plan with no enterprise gating.
• It covers 11 platforms (Instagram, TikTok, LinkedIn, YouTube, Facebook, X, Threads, Pinterest, Bluesky, Telegram, Discord) with unlimited scheduled posts on every tier.
• Pricing is unusually transparent and cheap: $9/$19/$29/$39 per month, with only usage limits (accounts, AI credits, storage, seats) changing between tiers.
• The AI content studio generates captions, images (FLUX, Imagen 4, Ideogram), and video (Sora 2, Veo 3, Kling), though credits run out fast on lower tiers.
• It's a young product with a thin independent review base (three G2 reviews), shallow analytics, and no free plan, so treat the "2,831 happy customers" claim with appropriate skepticism.

What PostEverywhere does

Most social schedulers tolerate APIs the way restaurants tolerate delivery apps: technically available, quietly discouraged. PostEverywhere flips that. The pitch on the homepage is "the social media scheduling tool for teams and their AI agents," and the product actually backs it up. You can paste https://mcp.posteverywhere.ai into Claude, ChatGPT, or Cursor and have your agent schedule, generate, and publish posts across 11 platforms in plain language. No config file, no API key juggling.

That's the headline, but underneath it sits a competent, fairly complete scheduler for humans too: a drag-and-drop content calendar, CSV bulk uploads, a posting queue built around recurring weekly openings, an approval workflow with team roles, and an analytics dashboard with best-time-to-post recommendations.

The agent story is the real product

Here's what impressed me most: the developer surface isn't a bolt-on. The hosted MCP server exposes 33 tools covering scheduling, caption and image generation, retrying failed posts, reading analytics, and managing webhooks. The REST API ships with 29 endpoints, 12 webhook event types (HMAC-SHA256 signed, per RFC 6234), campaigns support, bulk operations, and a /v1/me introspection endpoint. There's an official MIT-licensed Node SDK with full TypeScript types, a CLI with --json output so agents can drive it, and an open-source local MCP package for Windsurf, Cline, Zed, and Codex CLI.

The recent API v1.4 launch is telling about how this company operates. They shipped it specifically to fix six recurring developer complaints: no webhooks (forcing polling), the "47-call dashboard problem" of aggregating multi-field data, single-status filters, no date-range filtering, campaigns being dashboard-only, and one-at-a-time retries. That's a company listening to the small number of developers it has, which bodes well for the product's direction even if the current user base is small.

The MCP server is listed in Anthropic's Claude connector directory. On the ChatGPT side it works as a self-added custom connector (Developer Mode, paid plan, web only, not mobile), which is an OpenAI limitation rather than a PostEverywhere one. For non-MCP agent frameworks, the REST API plays nicely with LangChain, CrewAI, AutoGen, LlamaIndex, and Vercel AI SDK.

One claim worth flagging: the site says teams that connect an AI agent convert at 45.5% versus 7.5% for teams that never connect one. That's an internal funnel metric, not third-party verified, and it probably says more about which customers are most engaged than about what connecting an agent will do for you.

Scheduling features that hold up on their own

Strip away the agent angle and you still have a solid scheduler. The posting queue deserves a mention because it solves a real annoyance: you set recurring weekly openings (say, weekdays at 9:00), then just add posts and each one takes the next free slot. No date picker, no gaps. A live preview shows the next 10 queued posts with exact publish times before you commit, and editing your openings later doesn't reshuffle posts already in the queue. That's thoughtful design.

Cross-platform publishing includes automatic format optimization, per-platform copy and media customization, and multi-account posting (up to 20 accounts on Scale). Short-form video scheduling for TikToks, Reels, and Shorts includes cover image selection. The approval workflow is a single per-workspace toggle, off by default, with a required note when sending posts back for changes, and one approval authorizes exactly one publish. Sensible.

AI content studio

The content studio generates platform-optimized captions in your brand voice, images via FLUX, Imagen 4, and Ideogram, and short-form video via Sora 2, Veo 3, and Kling. The model lineup is genuinely current, which is more than I can say for some schedulers whose "AI" features still feel like a GPT-3.5 wrapper.

The catch is credits. Lite includes 10 AI credits per month, Starter 25, Growth 100, Scale 500. Video generation eats credits fast, so if AI content is your main draw, budget for Growth or Scale. If you're bringing your own agent and it writes the content, the credits matter less.

Pricing

• Lite: $9/mo, 2 social accounts, 10 AI credits, 1 team member, 2GB storage
• Starter: $19/mo, 5 accounts, 25 AI credits, 2 team members, 5GB storage, adds roles and permissions
• Growth: $29/mo, 10 accounts, 100 AI credits, 3 team members, 10GB storage
• Scale: $39/mo, 20 accounts, 500 AI credits, 5 team members, 5 workspaces, 50GB storage, adds exportable reports and priority support

Annual billing saves 20%. Every plan includes unlimited scheduled posts, all 11 platforms, the full API, MCP server, CLI, SDK, and webhooks. The only things gated by tier are usage limits and a couple of admin features. No enterprise tier, no sales call, no "contact us for API access." For a solo founder or a small agency, this pricing structure is close to ideal.

The 7-day free trial requires a credit card. There's no permanent free plan, which stings a little given how young the product is.

Strengths and limitations

Strengths:

• Agent access (MCP, API, SDK, CLI, webhooks) on every plan, including the $9 tier, with no feature gating on the developer side
• 11 platform coverage including Bluesky, Telegram, and Discord, which bigger schedulers often skip
• The posting queue with recurring weekly openings is a small feature that saves real time
• Transparent, cheap, self-serve pricing with unlimited posts throughout
• Recent API v1.4 launch shows responsiveness to developer feedback
• MIT-licensed open-source SDK, MCP server, and CLI on GitHub

Limitations:

• Analytics are shallow. The one substantive G2 review (Naren S., 5/5 otherwise) specifically wants platform-by-platform comparisons, deeper engagement metrics, and trend reporting. If analytics drive your buying decision, look elsewhere.
• No Substack integration, which a CEO reviewer on G2 flagged as a gap.
• The independent review base is tiny: three G2 reviews (4.8/5), nothing meaningful on SourceForge, no Trustpilot or Capterra presence surfaced. The GitHub repos have single-digit stars. The "2,831 happy customers" homepage claim is unverifiable.
• No free plan, and the trial requires a card.
• Exportable reports and priority support only exist on the $39 Scale tier.
• One workspace on everything below Scale, which limits agencies running separate client environments.

Who it's for

The best fit is a technical founder or a small team that already lives in Claude, ChatGPT, or Cursor and wants social publishing to be a conversation rather than a dashboard session. If you're comfortable saying "schedule a week of LinkedIn posts from this blog post" to your agent and reviewing what comes back, PostEverywhere is built for exactly that workflow.

Solo creators and small businesses who just want a cheap, clean scheduler with unusually broad platform coverage will also do fine here, especially at Lite or Starter pricing.

Who should skip it: analytics-heavy marketing teams, larger agencies needing multiple workspaces and client-level reporting on lower tiers, and anyone who wants a mature product with a deep public review history. Buffer and Hootsuite still win on polish and ecosystem; PostEverywhere wins on price and agent access.

Bottom line

PostEverywhere is a young product betting that the future of social media management is a mix of humans and agents, and it's built that bet into the product rather than the marketing. The MCP-first approach, ungated developer tools, and $9 entry point make it the most agent-friendly scheduler I've looked at in this price range. The counterweight is maturity: thin reviews, shallow analytics, and a small footprint mean you're adopting a promising trajectory, not a proven one. For a technical solo founder or a small team that wants to publish through their AI assistant today, that trade is worth it. For everyone else, it's worth watching this one grow.