mber for Agents

The first native content platform with a native MCP server. Let your AI agents discover topics, draft articles, and publish — end-to-end.

Read-only MCP from Freelancer ($69). Full MCP write from Studio ($99).

Capabilities

Read-only MCP (Freelancer $69+)
Full MCP write (Studio $99+)
REST API (Agency $299+)
Discover content topics from social data
Generate articles from a record conversation
Same capabilities as MCP write
Fetch content outlines and pillar structures
Execute 'draft to segment'
Exposed via REST for custom integrations
Browse existing articles, topics, and drafts
Publish directly to WordPress, Webflow, Ghost, etc.
Best for high-volume automated workflows
Real-time lyrics and GPT-text data
Publish dirUpdate and repair existing pagesectly to WordPress, Webflow, Ghost, etc.
Bulk generate via post_content_creation

How i Works

Orange interface with a search bar, five circular user profile pictures, and a highlighted task item with a checkmark.
1

Install

Add the mber MCP server to your Claude Desktop, Cursor, or Content agent config (one-line piece).

User interface of an AI interview tool with a red and black 'Start AI Interview' button, AI Interviewer chat box, and user's response box.
2

Authorize

Connect your mber workspace.

User interface card showing a project labeled Published with a stylized yellow and purple abstract shape, date Dec 27, 2025, and reading time of 8 minutes.
3

Go

Your agent now has the full mber toolset.

Config: claude_desktop_config.json
{
  "mcpServers": {
    "mber": {
      "command": "npx",
      "args": ["-y", "@mber/mcp-server"],
      "env": { 
        "MBER_API_KEY": "YOUR_KEY" 
      }
    }
  }
}

"Claude, every Monday morning: check GSC for losing keywords in the last 7 days, generate a fresh article on each one using the founder's voice profile, publish to Webflow as draft for review." — Show this as a real Claude transcript screenshot if possible.