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 with structured blocks. Example use: 'Create a meeting notes page with agenda items'.
Modify pages (append/replace modes). Example use: 'Update my task list'.
Remove pages. Example use: 'Delete the old draft page'.
Remove a block by UUID. Example use: 'Delete this specific block'.
Edit block content by UUID. Example use: 'Update this specific block text'.
Find content across graph. Example use: 'Search for 'productivity tips''.
Execute Logseq DSL queries. Example use: 'Find all TODO tasks tagged #project'.
Search pages by property. Example use: 'Find all pages with status = active'.
List pages in a namespace. Example use: 'Show all pages under Customer/'.
Hierarchical namespace view. Example use: 'Show Projects/ as a tree'.
Rename with reference updates. Example use: 'Rename 'Old Name' to 'New Name'.
Find pages linking to a page. Example use: 'What links to this page?'.
Insert child/sibling blocks. Example use: 'Add a child block under this task'.
