logseq-mcp

3.4

os_automation knowledge_and_memory

If you are the rightful owner of logseq-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Logseq MCP Tools enable AI agents to interact with your local Logseq instance using Model Context Protocol.

Logseq MCP Tools provide a suite of functionalities that allow AI agents to seamlessly interact with a local Logseq instance. By leveraging the Model Context Protocol (MCP), these tools facilitate operations such as retrieving, creating, updating, and deleting pages and blocks within the Logseq graph. The tools are designed to integrate with platforms like Cursor and Claude, enabling users to automate and enhance their note-taking and knowledge management workflows. The setup involves configuring the MCP server and ensuring Logseq's API is enabled, allowing for secure and efficient communication between the AI agents and the Logseq instance. With these tools, users can perform complex operations like searching for specific blocks, managing journal pages, and organizing content hierarchically, all through simple commands.

Features

Seamless integration with Logseq for AI-driven interactions.
Comprehensive toolset for managing pages and blocks.
Support for journal page creation and management.
Hierarchical block structure handling.
Compatible with platforms like Cursor and Claude.

0

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