This MCP server, developed by Salih, provides a seamless interface for AI assistants to interact with LogSeq via its API. Built using Python and the MCP library, it offers a range of tools for managing LogSeq graphs, including listing pages, searching content, and creating or updating pages. The server abstracts the complexities of API communication, allowing AI systems to easily integrate with LogSeq for note-taking and knowledge management tasks. It's particularly useful for scenarios requiring automated interaction with LogSeq, such as summarizing meeting notes, updating project statuses, or performing content searches across multiple pages. By bridging AI capabilities with LogSeq's functionality, this implementation enables more efficient and intelligent personal knowledge management workflows.
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Browse your graph. Example use: 'Show me all my pages'.
Read page content. Example use: 'Get my project notes'.
Add new pages. Example use: 'Create a meeting notes page'.
Modify existing pages. Example use: 'Update my task list'.
Remove pages. Example use: 'Delete the old draft page'.
Find content across graph. Example use: 'Search for 'productivity tips'.
