LogSeq
Summary
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.
Available Actions(10)
logseq_insert_block
Create new blocks in Logseq. Parameters: parent_block (string), content (string, required), is_page_block (boolean), before (boolean), custom_uuid (string)
logseq_edit_block
Enter block editing mode. Parameters: src_block (string, required), pos (number)
logseq_exit_editing_mode
Exit editing mode. Parameters: select_block (boolean)
logseq_create_page
Create new pages. Parameters: page_name (string, required), properties (object), journal (boolean), format (string)
logseq_get_page
Get page details. Parameters: src_page (string, required), include_children (boolean)
logseq_get_all_pages
List all pages. Parameters: repo (string)
logseq_get_current_page
Get active page/block. Parameters: None
logseq_get_current_blocks_tree
Current page's block hierarchy. Parameters: None
logseq_get_editing_block_content
Get content of active block. Parameters: None
logseq_get_page_blocks_tree
Get page's block structure. Parameters: src_page (string, required)
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