In this article, I’ll walk through how I built my own MCP(Model Context Protocol) server to enable AI models to access and reason over my personal knowledge base. Why I started this project
Whenever…

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The post details the process of building a custom MCP server to connect personal knowledge bases in Obsidian with AI tools, enabling enhanced, context-aware assistance. It discusses the motivation behind the project, the use of Claude Desktop, and the implementation of the server using Python and FastMCP. The post highlights the ability of AI models to perform tasks like identifying incomplete notes and generating questions from existing content. Emphasizing security and control, it provides insights on integrating local AI resources and suggests future steps for independence from external providers.

How I Built a Local MCP Server to Connect Obsidian with AI

<p>This is cool, glad to see it, and something I’ve been wanting to do for a while. The vector embedding approach is clunky with limited results, so the MCP option is attractive.</p>
<p>However, I wish the GitHub solution was more out of the box. There is no readme.</p>
