Logseq MCP
L

Logseq MCP

The Logseq MCP tool project provides a set of tools that allow AI agents to interact with local Logseq instances, including page and block management functions.
2 points
8.1K

What is the Logseq MCP Tool?

The Logseq MCP tool is a bridge that connects AI assistants and the local Logseq note - taking application. It allows AI to directly operate on pages and blocks in Logseq through the Model Context Protocol (MCP), enabling intelligent note management.

How to Use the Logseq MCP Tool?

Simply install and configure the Logseq MCP tool to allow AI assistants to access your Logseq note data. You can use the tool via the command line or integrate it into development environments such as Cursor.

Applicable Scenarios

Suitable for scenarios that require AI assistance in note management, page creation and update, content organization, etc. Particularly suitable for researchers, developers, and knowledge workers.

Main Features

Page Management
Supports creating, deleting, and retrieving all pages, facilitating the management and organization of note content.
Block Operations
Allows creating, updating, moving, and deleting blocks, enabling fine - grained control over note content.
Search Function
Provides a powerful search function to help quickly find specific note content.
Diary Page Support
Specifically optimized support for diary pages, automatically handling date formats and related attributes.
AI Integration
Seamlessly integrates with AI assistants, enabling AI to directly operate on your note data.
Advantages
Improve note management efficiency and enable intelligent operations
Support multiple AI assistants, enhancing workflow flexibility
Easy to use, suitable for all types of users
Limitations
Requires certain technical setup, and may be complex for first - time use
Depends on Logseq's API features, and Logseq needs to be correctly configured
Some advanced features may require more complex configuration

How to Use

Install the Tool
First, ensure that Python 3.11+ is installed, then clone the project repository and install the dependencies.
Configure Logseq
Enable the API in Logseq and set the API token. Make sure the development mode is enabled.
Configure the MCP Server
Configure the MCP server in Cursor or Claude Code, specifying the Logseq API address and token.

Usage Examples

Create a Meeting Minutes Page
The AI assistant creates a new 'Meeting Notes' page based on the prompt and adds the key points of the meeting agenda.
Add Tasks to the Diary Page
The AI assistant adds the day's tasks to the diary page and organizes them into a 'Tasks' section.
Update a Diary Entry
The AI assistant updates the diary entry, adds a link to 'Project Plan', and marks its child elements as 'Completed milestone 1'.

Frequently Asked Questions

What are the prerequisites for the Logseq MCP tool?
How to verify that the Logseq API is working properly?
Does the Logseq MCP tool support all versions of Logseq?
What should I do if I encounter problems?

Related Resources

Logseq Official Documentation
The official documentation of Logseq, providing detailed usage guides and API information.
Logseq MCP Tool GitHub Repository
The source code repository of the Logseq MCP tool, providing the latest version and update information.
Cursor MCP Tutorial
Cursor's MCP tutorial, guiding you on how to configure and use the MCP server.

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "logseq": {
         "command": "/opt/homebrew/bin/uvx",
         "args": ["logseq-mcp"],
         "env": {
           "LOGSEQ_API_URL": "http://localhost:12315",
           "LOGSEQ_TOKEN": "your-token-here"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

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