L

Logseq

The Logseq MCP Server is a model context protocol server that provides direct integration with Logseq knowledge bases, enabling LLMs to interact programmatically with Logseq graphs.
2.5 points
47

What is the Logseq MCP Server?

The Logseq MCP Server is a tool that allows large language models (LLMs) to interact with Logseq knowledge bases. It provides rich features for creating pages, editing blocks, retrieving content, and managing information.

How to use the Logseq MCP Server?

Through simple configuration and commands, you can easily perform various operations in Logseq, such as creating new pages and adding task blocks.

Use Cases

The Logseq MCP Server is very suitable for teams and individual users who need efficient knowledge management and collaboration.

Main Features

Block OperationsSupports creating, editing, and deleting blocks in Logseq.
Page OperationsAllows creating new pages, retrieving page details and lists.
Content RetrievalCan retrieve the current page, block tree, and the content of the block being edited.
Template SupportSupports quickly generating pages and blocks based on templates.

Advantages and Limitations

Advantages
Seamless integration with Logseq knowledge bases
Improved work efficiency
Supports multiple formats and custom options
Limitations
Requires a certain technical background for initial setup
May require additional configuration for some advanced features

How to Use

Install the MCP Server
Install the Logseq MCP Server via pip or source code.
Configure Environment Variables
Set the Logseq API Token and URL.
Start Using
Perform operations via the command line or API calls.

Usage Examples

Create a Meeting Notes PageCreate a new page named 'Team Meeting 2024-03-15' with some initial properties.
Add a Task Block to an Existing PageAdd a new task block to the existing page 'Project Roadmap'.
Create a Journal EntryCreate a new journal entry for the current day and add initial content.

Frequently Asked Questions

How to install the Logseq MCP Server?
Does it support multi - language environments?
How to handle permission issues?

Related Resources

Official Documentation
A detailed guide on using the Logseq MCP Server.
GitHub Repository
Source code and contribution guidelines.
Tutorial Video
A quick - start tutorial.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "logseq": {
      "command": "uvx",
      "args": ["mcp-server-logseq"],
      "env": {
        "LOGSEQ_API_TOKEN": "<YOUR_KEY>",
        "LOGSEQ_API_URL": "http://127.0.0.1:12315"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
201
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
371
4 points
M
MCP Notion Server
Certified
The Notion MCP Server is a middleware service that connects the Notion API with the LLM, optimizing interaction efficiency through Markdown conversion.
TypeScript
736
5 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
876
5 points
M
MCP Atlassian
MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.
Python
1.2K
5 points
M
MCP Logseq Server
An MCP server for interacting with the LogSeq note-taking app, providing various API tools to operate on note content.
Python
275
4.1 points
S
Solana Docs MCP Server
A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions
TypeScript
115
4.2 points
U
UI TARS Desktop
Certified
Changesets is an automated tool to help manage the version control and release process of multi-package or single-package codebases.
TypeScript
13.0K
5 points
Featured MCP Services
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase