Logseq MCP Tools
An MCP server that allows AI agents to interact with a local Logseq instance.
Logseq MCP Tools
This project provides a set of Model Context Protocol (MCP) tools that enable AI agents to interact with your local Logseq instance.
Installation
- Ensure you have Python 3.11+ installed
- Clone this repository
- Install dependencies:
pip install -e .
Setup
-
Make sure your Logseq has the API enabled.
- In Logseq, go to Settings > Advanced > Developer mode > Enable Developer mode
- Then, go to Plugins > Turn on Logseq Developer Plugin
- Also set an API token in the Advanced settings
- Restart Logseq
-
Configure the MCP server in your Cursor MCP configuration file (typically at
~/.cursor/mcp.json):{ "mcpServers": { "logseq": { "command": "/opt/homebrew/bin/uvx", "args": ["logseq-mcp"], "env": { "LOGSEQ_API_URL": "http://localhost:12315", "LOGSEQ_TOKEN": "your-token-here" } } } }
OR
- Configure Claude Code to use the MCP server with:
claude mcp add
- Select scope
- Select Stdio
LOGSEQ_API_URL=http://localhost:12315 LOGSEQ_TOKEN=your-token-here /opt/homebrew/bin/uvx logseq-mcp
Using with Cursor and Claude
Adding to Cursor's MCP Tools
-
Configure the MCP server as shown above in the Setup section
-
Open Cursor and go to the MCP panel (sidebar)
-
The Logseq tool should appear in your list of available tools
Using with Claude
When using Claude in Cursor, you'll need to inform it that you have Logseq tools available with a prompt similar to:
"You have access to Logseq tools that can help you interact with my Logseq graph. You can use functions like logseq.get_all_pages(), logseq.get_page(name), logseq.create_page(name), etc."
Available Tools
All tools are available under the logseq namespace:
Pages
logseq.get_all_pages: Get a list of all pages in the Logseq graphlogseq.get_page: Get a specific page by namelogseq.create_page: Create a new pagelogseq.delete_page: Delete a page and all its blocks
Blocks
logseq.get_page_blocks: Get all blocks from a specific pagelogseq.get_block: Get a specific block by IDlogseq.create_block: Create a new block on a pagelogseq.insert_block: Insert a block as a child of another blocklogseq.update_block: Update an existing blocklogseq.move_block: Move a block to a different locationlogseq.remove_block: Remove a block and all its childrenlogseq.search_blocks: Search for blocks matching a query
Working with Logseq
Journal Pages
Journal pages in Logseq have a specific format and attributes:
- Use the format "mmm dth, yyyy" (e.g., "Apr 4th, 2025") when creating or accessing journal pages
- Journal pages are automatically formatted by Logseq with proper dating
- Journal pages have special attributes that are automatically set by Logseq:
journal?: true - Indicates this is a journal pagejournalDay: YYYYMMDD - The date in numeric format (e.g., 20250404 for April 4, 2025)
- Example:
await logseq.create_page("Apr 4th, 2025")
Important: You do not need to manually set the journal? or journalDay attributes. Simply creating a page with the proper date format (e.g., "Apr 4th, 2025") will automatically configure it as a journal page with the appropriate attributes.
Block Structure and Formatting
Blocks in Logseq have some important characteristics to understand:
-
Automatic Bullets: All blocks are automatically rendered as bullet points in the Logseq UI
-
Page Links: Create links using double brackets:
[[Page Name]] -
Hierarchical Blocks:
- Block structure data contains hierarchical information:
parent: The parent block's IDlevel: The indentation level (1 for top-level, 2+ for indented blocks)left: The block to the left (typically the parent for indented blocks)
- Block structure data contains hierarchical information:
-
Block Content: When creating blocks, you can include text formatting:
- Basic Markdown is supported (bold, italic, etc.)
- Bullet points within a block may have limited support
- Multi-line content is supported but may be subject to Logseq's parsing rules
-
Journal Blocks: Blocks created in journal pages inherit special attributes:
journal?: truejournalDay: YYYYMMDD - Same as the journal page
Note: Like journal pages, these block attributes are automatically handled by Logseq. You don't need to manually set the journal? or journalDay attributes when creating blocks on journal pages.
Example Usage for Common Tasks
Working with the Cursor agent: When you have Logseq MCP tools configured in Cursor, you can give the agent prompts like:
- "Create a new page called 'Meeting Notes' with bullet points for today's agenda"
- "Add today's tasks to my journal page with a 'Tasks' section"
- "Update today's journal entry with [[Project Plan]], set its child element to 'Completed milestone 1'"
- "Search my graph for blocks about 'python projects' and organize them on a new page"
The agent will use the appropriate Logseq tools to carry out these operations on your graph.
Servidores relacionados
Notion
Connects AI assistants to your Notion workspace to search and manage pages, databases, and content.
FluentLab Funding Assistant
An assistant API to help find and apply for funding opportunities.
Paprika 3
Manage your Paprika 3 recipes with an LLM. Read, create, and update recipes in your Paprika app.
Google Workspace MCP Server
An MCP server for interacting with Google Workspace services like Gmail and Calendar.
moviepy-mcp
a moviepy mcp server currently with over 20 video and audio editing tools.
Humanizer PRO
Humanizer PRO transforms AI content into natural, human-like writing that bypasses all AI detection. Our advanced AI humanizer ensures perfect authenticity while preserving your message. Try it now!
Rezdy Agent
Search marketplace products, manage bookings, and handle customer relationships using the Rezdy Agent API.
macOS Defaults
Read and write macOS user defaults and settings.
Feishu/Lark OpenAPI
Connect AI agents with the Feishu/Lark platform for automation, including document processing, conversation management, and calendar scheduling.
Promptheus
AI-powered prompt refinement tool with adaptive questioning and multi-provider support. Intelligently refines prompts through clarifying questions, supports 6+ AI providers (Google Gemini, Anthropic Claude, OpenAI, Groq, Alibaba Qwen, Zhipu GLM), and provides comprehensive prompt engineering capabilities.