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Beehiiv MCP

Full newsletter operations for AI agents via Beehiiv

Email & MarketingFreemiumClaudeCursorWindsurfAll ModelsEasy
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How to Install Beehiiv MCP

$npx -y beehiiv-mcp-server

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "beehiiv-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "beehiiv-mcp-server"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "beehiiv-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "beehiiv-mcp-server"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "beehiiv-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "beehiiv-mcp-server"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add beehiiv-mcp -- npx -y beehiiv-mcp-server

Add any API keys or environment variables the server's README lists.

About Beehiiv MCP

The Beehiiv MCP server gives AI agents comprehensive control over a Beehiiv newsletter: creating, editing, and publishing posts; managing subscribers and segments; running automations and journeys; handling paid tiers, sponsorships, and ad opportunities; accessing analytics and engagement stats; and working with podcasts, surveys, polls, and custom fields. One of the most feature-complete publisher MCPs available.

Beehiiv MCP is a Email & Marketing MCP server designed for developers and AI power users. It enables extending AI assistants with real-world capabilities by exposing a structured set of tools over the Model Context Protocol. Key capabilities include standards-based mcp server interface, works with claude, gpt, gemini, and other mcp clients, tool discovery and structured outputs, and structured tool calls that work cleanly inside an LLM context. It integrates with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client, and is best suited for developers and AI power users who need ai engineers wiring assistants into real tools.

Key Features

  • newsletter
  • email
  • publishing
  • beehiiv
  • automation

Pricing

Freemium: from Free (requires Beehiiv account)

Pros & Cons

Pros

  • Drop-in support across MCP-compatible AI clients
  • Reduces prompt boilerplate by exposing concrete tool calls
  • Active community and ongoing updates

Cons

  • Requires an MCP-capable client to use
  • Initial setup can require configuration
  • Capability surface depends on what the underlying service exposes

Best For

  • AI engineers wiring assistants into real tools
  • Teams adopting MCP as an integration standard
  • Power users who want more than chat

Our Take on Beehiiv MCP

The most complete newsletter MCP: covers everything from post publishing to paid tiers and ad sponsorships.

Frequently Asked Questions

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