This MCP server, developed by Daniel Zholkovsky, provides integration with the LogSeq API for knowledge management and note-taking. Built with Python and leveraging libraries like Pydantic and Requests, it offers tools for interacting with LogSeq data and functionality. The implementation focuses on providing a standardized interface for AI agents to access and manipulate LogSeq content programmatically. It's particularly useful for developers and knowledge workers looking to automate LogSeq workflows, enabling use cases such as AI-assisted note-taking, automated knowledge graph analysis, and integration of LogSeq data with other tools and systems.
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Highlight AICreate new blocks in Logseq. Parameters: parent_block (string), content (string, required), is_page_block (boolean), before (boolean), custom_uuid (string)
Enter block editing mode. Parameters: src_block (string, required), pos (number)
Exit editing mode. Parameters: select_block (boolean)
Create new pages. Parameters: page_name (string, required), properties (object), journal (boolean), format (string)
Get page details. Parameters: src_page (string, required), include_children (boolean)
List all pages. Parameters: repo (string)
Get active page/block. Parameters: None
Current page's block hierarchy. Parameters: None
Get content of active block. Parameters: None
Get page's block structure. Parameters: src_page (string, required)