EasySociable MCP server

EasySociable MCP Server

A Model Context Protocol (MCP) server that empowers AI agents (Claude Desktop, Claude Code, Cursor, Codex) to turn prompts, outlines, and markdown into branded, multi-page social carousels and slideshows for TikTok, LinkedIn, Instagram, Threads, and Xiaohongshu.

What is EasySociable?

EasySociable is an agent-native visual production layer that bridges the gap between text-based AI models and finished visual carousel decks:

• AI Agent writes the content: Claude or Cursor creates the story, pacing, and slide copy.
• EasySociable binds the design: Applies proven layout families, enforces Brand Kits (fonts, colors), and prepares a durable Slideshow Run.
• In-Browser Studio: Open the private review link in your browser to polish text or swap images without layout drift.
• Multi-Platform PNG Pack: One-click download optimized for TikTok (9:16), LinkedIn (4:5 / 1:1), Instagram (4:5 / 1:1), and Xiaohongshu (3:4).

Quickstart & Installation

This server is listed in the Official MCP Registry.

Option 1: Claude Desktop

Add this configuration to your claudedesktopconfig.json:

• macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
• Windows: %APPDATA%\Claude\claudedesktopconfig.json

{
  "mcpServers": {
    "easysociable": {
      "command": "npx",
      "args": ["-y", "@easysociable/cli", "mcp", "serve", "--transport", "stdio"]
    }
  }
}

Option 2: Cursor

Add the MCP server to Cursor via Cursor Settings > Features > MCP Servers > Add New:

• Name: easysociable
• Type: command
• Command: npx -y @easysociable/cli mcp serve --transport stdio

Option 3: Global CLI Install

# macOS / Linux automated installer
curl -fsSL https://easysociable.com/install.sh | bash

# Or via npm
npm install -g @easysociable/cli

# Run MCP server directly
easysociable mcp serve --transport stdio

Available MCP Tools

36 tools, grouped by what the agent works on:

Agent Skills

The skills/ folder holds the workflows the agent follows on top of the tools:

Shortened. The full README is on GitHub.