# MCP Server

The Blotato MCP Server lets you control your social media workflows directly from AI tools like Claude.ai, Claude Desktop, Claude Code, Cursor, Antigravity, and Replit Agent.

No installation or coding required. Connect via OAuth or add the server URL and your API key to your AI tool's config, and start giving natural language commands.

## What You Get

* Post to any connected social platform with a single prompt
* Schedule posts to your content calendar
* View, update, reschedule, and delete scheduled posts
* Extract content from YouTube videos, articles, tweets, and more
* Generate images, carousels, and videos from templates
* Upload local files directly -- no Google Drive or S3 needed
* Check the status of your posts and visuals

## Tutorials

* [Build Your AI Personal Assistant for Social Media Marketing](https://youtu.be/3HVH2Iuplqo)
* [The ULTIMATE Claude Code Tutorial](https://youtu.be/fYX6hHC9FhQ)

For Claude Code-specific tutorials, see [Claude Code](/api/claude-code.md).

## Quick Setup

1. Connect your social accounts in [Settings](https://my.blotato.com/settings)
2. Add the Blotato MCP server to your AI tool (see [Setup Guide](/api/mcp/setup.md))

**MCP Server URL**: `https://mcp.blotato.com/mcp`

**REST API base URL** (for non-MCP HTTP clients): `https://backend.blotato.com/v2`

`api.blotato.com` is **not a valid base URL**. If your AI tool reports a DNS error for `api.blotato.com`, it guessed wrong. Use the URLs above.

**Auth**: OAuth (Claude.ai, Claude Desktop, Claude Cowork) or API key header (Claude Code, Cursor, others)

For step-by-step setup instructions, see the [Setup Guide](/api/mcp/setup.md).

For all available tools and parameters, see the [Tools Reference](/api/mcp/tools.md).

For example prompts and multi-step workflows, see [Example Prompts](/api/mcp/examples.md).


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.blotato.com/api/mcp.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.