Logseq MCP Tools
Logseq MCP Tools creates a server enabling AI assistants to interact with your Logseq knowledge graph. It offers functions for retrieving pages, getting page content, summarizing journals, exploring links, and analyzing the graph to enhance knowledge management and discovery.
Added on:
Created by:
Apr 27 2025
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What is Logseq MCP Tools?
This MCP server facilitates AI integration with Logseq, allowing structured access to your notes and connections. It supports functions like listing all pages, retrieving page content, generating journal summaries for custom date ranges, analyzing graph connections, and discovering knowledge gaps. These tools enable intelligent querying, connection suggestions, and graph analysis to improve productivity and insight extraction within your Logseq environment. By leveraging the Model Context Protocol, it bridges AI assistants with your personal knowledge base for dynamic and automated knowledge processing and exploration.
Who will use Logseq MCP Tools?
- Logseq users
- AI assistant developers
- Knowledge management professionals
- Researchers using Logseq
- Productivity enthusiasts
How to use the Logseq MCP Tools?
- Step 1: Install the MCP server from GitHub repository
- Step 2: Configure environment variables with your Logseq token
- Step 3: Run the server using 'npx tsx index.ts' command
- Step 4: Connect your AI assistant (like Claude) to the server following the Quickstart guide
- Step 5: Use available tools (e.g., getAllPages, getPage, getJournalSummary) via the AI interface
- Step 6: Query and analyze your Logseq graph through the AI assistant's commands
Logseq MCP Tools's Core Features & Benefits
The Core Features
- getAllPages
- getPage
- getJournalSummary
- createPage
- searchPages
- getBacklinks
- analyzeGraph
- findKnowledgeGaps
- analyzeJournalPatterns
- smartQuery
- suggestConnections
The Benefits
- Enables AI-driven access and analysis of Logseq graph
- Automates content retrieval and summary generation
- Facilitates knowledge gap detection and graph insights
Logseq MCP Tools's Main Use Cases & Applications
- AI-powered note summarization and review
- Discovering related pages and connections
- Identifying knowledge gaps for expansion
- Automating journal and habit analysis
- Facilitating intelligent queries and link exploration