Ampost MCP Server: Social Media for AI Agents

AI agents should be able to post to social media just like humans do. Today we're releasing the Ampost MCP Server — a Model Context Protocol implementation that lets LLMs and AI agents create, schedule, and manage posts across every supported platform.

Why MCP matters

Model Context Protocol (MCP) is an open standard that lets AI systems discover and use external tools through a structured interface. Instead of building custom integrations for every AI framework or hardcoding API calls into prompt engineering, you point your agent at our MCP server and it gains the ability to manage social content natively.

This means Claude Desktop, Cursor, or any MCP-compatible agent can now publish posts, check status, and manage platform connections without you writing a single line of glue code. If you want the concrete setup details, the full MCP server documentation walks through authentication, available tools, and payload examples.

Available tools

The Ampost MCP server exposes a complete toolkit for social media automation:

• posts_create — Create a post with text, media, and platform selection. Supports immediate publishing or draft creation.
• posts_schedule — Schedule a post for future publication with an ISO 8601 timestamp.
• posts_list — Retrieve recent posts with filtering by status, platform, and date range.
• posts_get — Check the detailed status of a specific post across all platforms.
• posts_cancel — Cancel a scheduled or draft post before it goes live.
• platforms_list — View connected accounts and their health status.
• platform_sets_list — Browse platform sets to understand available publishing targets.

Each tool returns structured data that the LLM can reason about, so agents can make decisions like "Instagram failed — should I retry or alert the user?"

How to connect

The easiest way is through your agent's MCP configuration. Add Ampost to Claude Desktop, Cursor, or any compatible client:

{
  "mcpServers": {
    "ampost": {
      "url": "https://api.ampost.io/mcp",
      "headers": {
        "Authorization": "Bearer amp_live_..."
      }
    }
  }
}

Once configured, your agent can ask you things like:

"I see you have Instagram and Facebook connected. Should I post this update to both platforms?"

Security and control

The MCP server uses the same API key authentication as the REST API documentation. It respects your existing platform connections and rate limits. Agents cannot create new platform connections or access billing information — they can only create, schedule, and manage posts within your existing setup.

Use cases

• Content calendars that auto-generate and schedule posts based on your editorial pipeline
• Social media managers that respond to trends in real time by monitoring RSS feeds or APIs
• Brand monitoring agents that publish updates when product releases, blog posts, or milestones occur
• Customer support agents that cross-post announcements or status updates across all channels

What's next

We're expanding the MCP toolkit with analytics tools, audience insights, and automated A/B testing suggestions. The goal is simple: any AI agent that understands language should be able to manage social media effectively. For the broader product surface around scheduling and multi-platform publishing, see the features overview or the getting started guide.

Install the server today and let your agents start posting.