Beehiiv MCP Server

by reymerekar7

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![image](https://github.com/user-attachments/assets/d16bd5fe-2057-4a32-a58d-e90bd264d73a) # Beehiiv MCP Server A Model Context Protocol (MCP) server that provides tools for interacting with the Beehiiv API v2. This server enables Large Language Models (LLMs) to interact with Beehiiv publications and posts through…

Explore

- Lists publications accessible with your API key
- Lists the 5 most recent confirmed posts for a publication
- Retrieves detailed information about a specific post
- Retrieves full HTML content for a post
- Creates new posts (enterprise only)

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Beehiiv MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Prerequisites

- Python 3.10 or higher
- uv package manager
- A Beehiiv account with API access
- Claude Desktop (or another MCP-compatible client)

This MCP server currently exposes the following tools (more will be added):

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "beehiiv mcp server": {
            "beehiiv-mcp-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "beehiiv-mcp-server": {
        "command": "uv",
        "args": [
            "venv"
        ]
    }
}

A Model Context Protocol (MCP) server that provides tools for interacting with the Beehiiv API v2. This server enables Large Language Models (LLMs) to interact with Beehiiv publications and posts through standardized tools.

Prerequisites

- Python 3.10 or higher
- uv package manager
- A Beehiiv account with API access
- Claude Desktop (or another MCP-compatible client)

Installation

1. Install uv if you haven't already:

curl -LsSf https://astral.sh/uv/install.sh | sh

2. If rebuilding from scratch, create and set up your project:
```bash

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