Official Substack / Medium MCP Server

Name: Official Substack / Medium MCP Server
Author: jean-technologies

@jean-technologies

Official Substack / Medium MCP Server について

The tool connects to your Substack/Medium blogs via their RSS feeds, fetches your posts, and permanently caches them locally. It also generates embeddings for each post, enabling semantic search to find the most relevant essays based on your queries.

#substack #mcp #medium

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

公開者

jean-technologies

投稿者

Jonathan Politzki

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "writer-tool": {
      "command": "/absolute/path/to/uv",
      "args": [
        "--directory",
        "/absolute/path/to/writer-context-tool",
        "run",
        "writer_tool.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Official Substack / Medium MCP Server?

Official Substack / Medium MCP Server is an open-source Model Context Protocol (MCP) implementation that connects Claude to your Substack and Medium writing. It allows Claude to access, cache, and semantically search your published blog posts, providing personalized writing assistance.

How to use Official Substack / Medium MCP Server?

Clone the repository, set up a Python 3.10+ environment with uv or pip, and configure your Substack/Medium RSS URLs in a config.json file. Then connect to Claude Desktop by adding the server to the claude_desktop_config.json configuration. Once running, Claude can access individual essay resources and use the search_writing and refresh_content tools.

Key features of Official Substack / Medium MCP Server

Retrieves and permanently caches blog posts from Substack and Medium
Uses embeddings to find the most relevant essays via semantic search
Makes individual essays available as separate resources for Claude
Preloads all content and generates embeddings at startup
Supports configurable caching duration and maximum posts to fetch
Provides two tools: search_writing and refresh_content

Use cases of Official Substack / Medium MCP Server

Ask Claude to find essays discussing a specific topic across your Substack and Medium archives
Reference individual essays by title when requesting writing feedback or idea development
Automatically refresh your cached content to keep Claude up to date with new posts

FAQ from Official Substack / Medium MCP Server

What platforms does Official Substack / Medium MCP Server support?

Substack and Medium are supported via their RSS feeds.

How does caching work in Official Substack / Medium MCP Server?

Content is stored on disk and persists between sessions. The cache duration is configurable (default 10080 minutes / 1 week). Content and embeddings are automatically refreshed at startup and on demand using the refresh_content tool.

What are the prerequisites for using Official Substack / Medium MCP Server?

Python 3.10 or higher, the latest Claude Desktop, and a Substack or Medium account with published public content.

How can I troubleshoot if the tool doesn't appear in Claude Desktop?

Check that your Claude Desktop configuration file has correct absolute paths, verify all packages are installed, and restart Claude Desktop. You can also try the shell script alternative for the uv command.

How does semantic search work in Official Substack / Medium MCP Server?

Each essay is converted into embeddings at startup. When you use the search_writing tool, embeddings are compared to find the most relevant essays, with the number of results configurable via similar_posts_count.

「メモリとナレッジ」の他のコンテンツ

MCP server for Obsidian

MarkusPfundstein

MCP server that interacts with Obsidian via the Obsidian rest API community plugin

4.0K

Obsidian MCP Server

cyanheads

Read, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streamable HTTP.

618

Semantic Scholar MCP Server

YUZongmin

A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.

158