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Substack MCP: AI-Powered Personalization & Effortless Content Creation - MCP Implementation

Substack MCP: AI-Powered Personalization & Effortless Content Creation

Substack MCP: Supercharge newsletters with AI – integrate Claude & assistants for smarter, personalized content. Effortless creation, better engagement.

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This tool saved users approximately 8055 hours last month!

About Substack MCP

What is Substack MCP: AI-Powered Personalization & Effortless Content Creation?

Imagine struggling to manually sift through hundreds of Substack posts to find relevant content. With Substack MCP, AI assistants like Claude can now effortlessly access your newsletters, posts, and author data through a seamless interface. This open-source tool acts as a bridge between Substack’s API and AI models, enabling smart interactions like automated content retrieval and personalized recommendations. For example, a marketer could ask Claude to "show me all posts about AI from Stratechery" in seconds—no coding required.

How to Use Substack MCP: AI-Powered Personalization & Effortless Content Creation?

Getting started is straightforward. After installing Python and the required libraries, you’ll set up the MCP server using these steps:

  1. Clone the repository and initialize the virtual environment
  2. Install dependencies with uv (our preferred package manager)
  3. Configure Claude Desktop with your server path

Once activated, simply ask Claude natural language questions like "Search 'e-commerce trends' in this newsletter" to instantly retrieve structured data from Substack.

Substack MCP Features

Key Features of Substack MCP: AI-Powered Personalization & Effortless Content Creation?

Substack MCP offers a robust toolkit for content automation:

  • Smart Content Retrieval: Fetch posts, podcasts, and recommendations with single API calls
  • Context-Aware Search: Perform keyword searches across entire newsletters
  • Author Insights: Get detailed profiles of Substack contributors
  • Seamless Integration: Works with existing workflows through MCP protocol

These features make it ideal for content aggregators, researchers, and publishers looking to automate content discovery.

Use Cases of Substack MCP: AI-Powered Personalization & Effortless Content Creation?

Here's how real users leverage this tool:

Content Curation

A blog editor uses MCP to automatically collect top posts from competitor newsletters, saving hours of manual research.

Market Research

A startup founder asks Claude to "find all 2023 posts about SaaS pricing models" to build competitive analysis reports.

Author Collaboration

Co-writers use the get_author_info tool to verify contributor permissions before sharing draft content.

Substack MCP FAQ

FAQ from Substack MCP: AI-Powered Personalization & Effortless Content Creation?

Does this work with other AI models besides Claude?

Yes! While tested with Claude Desktop, the MCP protocol supports any LLM following the standard API format.

Can I deploy this in production environments?

Absolutely. The docker folder contains production-ready configurations for containerized deployment.

What if the server doesn't start?

Check your Python version (3.10+), verify the config path in claude_desktop_config.json, and review logs using the troubleshooting commands in the documentation.

Content

Substack MCP

An MCP (Model Context Protocol) server for Substack API integration with Claude and other AI assistants.

Overview

This project implements a Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Substack newsletters, posts, and authors through a standardized interface. It leverages the Substack API library and makes its functionality available through MCP.

With this MCP server, Claude can:

  • Retrieve newsletter posts, podcasts, and recommendations
  • Get post content and metadata
  • Search for posts within newsletters
  • Get user profile information and subscriptions

Installation

Prerequisites

Setup

  1. Clone this repository:

    git clone https://github.com/Greg-Swiftomatic/substack-mcp.git

cd substack-mcp
  1. Set up a virtual environment using uv:

    curl -LsSf https://astral.sh/uv/install.sh | sh # Install uv if not already installed

uv init .
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
  1. Install dependencies:

    uv add "mcp[cli]" substack-api

Usage

Running the Server

Run the MCP server:

python substack_mcp.py

Configuring Claude for Desktop

  1. Open Claude for Desktop's configuration file:
* **macOS/Linux** : `~/Library/Application Support/Claude/claude_desktop_config.json`
* **Windows** : `%APPDATA%\Claude\claude_desktop_config.json`
  1. Add your server configuration:

    {
    "mcpServers": {
    "substack": {
    "command": "uv",
    "args": [
    "--directory",
    "/ABSOLUTE/PATH/TO/substack-mcp",
    "run",
    "substack_mcp.py"
    ]
    }
    }

}
  1. Restart Claude for Desktop.

Example Queries

Once configured, you can ask Claude questions like:

Available Tools

The server provides the following MCP tools:

Tool Description
get_newsletter_posts Retrieves recent posts from a Substack newsletter
get_post_content Gets the full content of a specific Substack post
search_newsletter Searches for posts within a newsletter
get_author_info Gets information about a Substack author
get_newsletter_recommendations Gets recommended newsletters for a Substack publication
get_newsletter_authors Gets authors of a Substack newsletter

Project Structure

  • substack_mcp.py - The main MCP server implementation
  • examples/ - Example queries and responses
  • docker/ - Docker configuration for containerized deployment

Development

To contribute to this project:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Troubleshooting

If you encounter issues:

  1. Check Claude's logs for errors:

    macOS/Linux

tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

# Windows
type %APPDATA%\Claude\Logs\mcp*.log
  1. Verify your server builds and runs without errors:

    python substack_mcp.py

  2. Make sure your claude_desktop_config.json file has the correct paths and syntax.

  3. Try restarting Claude for Desktop completely.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

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