Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
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Knowledge Management · Developer Tools
Official Substack MCP Server
jean-technologies/mcp-writer-substack
Open-Sourced Model Context Protocol (MCP) implementation that connects Claude to your Substack and Medium writing. Writer Context Tool is an MCP server that allows Claude to access and analyze your writing from platforms like Substack and Medium.
Install
Client configuration
{
"mcpServers": {
"writer-tool": {
"command": "${UV_PATH}",
"args": [
"--directory",
"$(pwd)",
"run",
"writer_tool.py"
]
}
}
}Environment variables
UV_PATH- GitHub stars
- 6
- Author
- @jean-technologies
- Category
- Knowledge Management, Developer Tools
- License
- MIT
- Updated
- Oct 6, 2026
About Official Substack MCP Server
Open-Sourced Model Context Protocol (MCP) implementation that connects Claude to your Substack and Medium writing.
Writer Context Tool is an MCP server that allows Claude to access and analyze your writing from platforms like Substack and Medium. With this tool, Claude can understand the context of your published content, providing more personalized assistance with your writing.
Features
Retrieves and permanently caches your blog posts from Substack and Medium
Uses embeddings to find the most relevant essays based on your queries
Makes individual essays available as separate resources for Claude
Performs semantic searches across your writing
Preloads all content and generates embeddings at startup
Tools (7)
max_posts
Maximum number of posts to fetch from each platform (default: 100)
cache_duration_minutes
How long to cache content before refreshing (default: 1 week or 10080 minutes)
Note
If you experience issues with the uv command, you can use the included shell script alternative:
search_writing
A semantic search tool that finds the most relevant essays using embeddings
refresh_content
Refreshes and recaches your content from all configured platforms
Embeddings
Each essay is converted to embeddings for semantic search
Preloading
All content is automatically refreshed and embeddings generated at startup
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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