Logseq Tools FAQs

Question 1

What can I do with Logseq Tools?

Accepted Answer

You can use it to get summaries of your journal entries, find pages related to a specific topic, identify potential knowledge gaps, analyze trends in your notes, and even suggest connections between different pages in your graph. It essentially gives AI a window into your Logseq database.

Question 2

Which AI assistants are compatible with Logseq Tools?

Accepted Answer

Logseq Tools is designed to work with AI assistants that support the Model Context Protocol (MCP), like Claude. The documentation provides specific instructions for integrating with Claude Desktop, Cursor, and the Anthropic API.

Question 3

What is Logseq Tools?

Accepted Answer

Logseq Tools is an MCP (Model Context Protocol) server that allows AI assistants, such as Claude, to interact with your Logseq knowledge graph. It enables them to retrieve information, analyze your notes, and provide helpful insights.

Question 4

How do I install and configure Logseq Tools?

Accepted Answer

First, clone the repository from GitHub. Then install the dependencies using npm, yarn, or pnpm. Copy the `.env.template` file to `.env` and configure it with your Logseq authentication token, which you can find in Logseq's settings.

Question 5

What kind of analysis can I perform on my Logseq graph?

Accepted Answer

Logseq Tools offers several analysis tools including identifying frequently referenced pages, tracking recent updates, discovering page clusters, listing outstanding tasks, finding knowledge gaps, and suggesting connections between pages.

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