Blotato Review (2026): Pricing, Limits and What It Does

Blotato is a social media API plus MCP server, sold on the idea that your agent posts for you instead of you opening nine apps.

Start scheduling → Official site

The actual pitch, in plain terms

The site describes a unified API and MCP server that can post, schedule, reply to comments, manage DMs and track analytics across nine or more social platforms without writing code. The listed networks are X, LinkedIn, Facebook, Instagram, TikTok, YouTube, Threads, Bluesky and Pinterest, and the headline example is a single create_post call fanning out to all of them. On the client side it names Claude, Claude Code, Cowork, ChatGPT, Cursor, Codex and others, plus n8n, Make and plain REST for people who prefer their automation without a chat window. Read the whole thing as one sentence: it is the OAuth and per-platform SDK problem, solved once, exposed as tools an agent can call.

What the published numbers do and do not tell you

The home page carries a starter price of 29 dollars a month, described as flat pricing with unlimited posts and 20 connected accounts, a seven-day free trial and cancel-anytime terms. Elsewhere it states 1,800 requests per hour, 667 thousand or more posts published last month, 10,000 or more business owners on the platform and an eight-in-one framing against separate subscriptions. Those last few are marketing figures from the vendor and prove adoption rather than fit. The two numbers to actually hold on to are the request ceiling and the account count, because those are the ones that decide whether your use case fits the entry plan. Check both against the official pricing page before committing a workflow to it.

Comments, DMs and the automation nobody mentions

Publishing is the boring half. The more interesting part of the feature list is the inbox: listing comments and conversations, reading a thread and replying or sending DMs without a human opening the app, plus keyword-triggered DM automations where somebody comments a word and gets a message with a link. The site notes that DM automation part covers Instagram and Facebook, with its own triggered, completed and failed reporting. That is a real funnel primitive rather than a demo feature. It is also the half that needs the most care, because an agent that replies to strangers on your behalf will eventually reply to something you would not have.

Scheduling that an agent can reason about

You can post now, post at a timestamp, or ask for the next open slot and drop the post into it, with recurring weekly slots configurable per platform and per account. That third option is the one worth noticing, because it is written for a caller that does not have a calendar in front of it. A human picks Tuesday at ten because they can see the week. An agent asks what is free and takes it. If your content pipeline produces things in bursts and you want them spread out without micromanagement, that is a genuinely different model from a traditional scheduler, and it is the clearest argument for this product over a conventional one.

Who should use Supapush instead

If the person doing the posting is a marketer rather than an engineer, an API-first product creates work instead of removing it. Supapush covers the same distribution job from the other end: a multi-account composer with a queue, a calendar, scheduling and analytics across ten networks, operated by a person in a browser. Nothing to configure, no MCP client, no failed tool call to debug at eight in the morning. The trade is control versus automation. If you want a machine to publish, this review's subject is built for that. If you want to see the week laid out and approve what goes out, take the composer.

Four things to know before signing up

API-first or composer-first

A sensible first week

1. Connect two accounts, not twenty
   Start with the two networks that matter most to you. Connecting everything on day one turns your first mistake into nine public mistakes across nine audiences.
2. Publish one post by hand
   Make a single call yourself, from the client you intend to use, before any agent touches it. You want to see exactly what the request and response look like when nothing is wrapping them.
3. Put a human in the loop
   Have the agent draft and queue rather than publish immediately for the first fortnight. Review the queue each morning. You will catch tone problems that no prompt would have prevented.
4. Watch the request ceiling
   The site states 1,800 requests per hour. Log your own usage for a week and compare, especially if the agent polls comments, before you build anything that assumes unlimited calls.

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