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MCP Logseq

MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.

Install

$git clone https://github.com/ergut/mcp-logseq

Install command taken from the project's README or registry entry. Always review code before running it.

MCP server for LogSeq Connect Claude to your LogSeq knowledge base. Read, create, and manage pages — with optional semantic vector search and DB-mode graph support.

✨ What You Can Do

Transform your LogSeq knowledge base into an AI-powered workspace! This MCP server enables Claude to seamlessly interact with your LogSeq graphs.

🎯 Real-World Examples

📊 Intelligent Knowledge Management

"Analyze all my project notes from the past month and create a status summary"
"Find pages mentioning 'machine learning' and create a study roadmap"
"Search for incomplete tasks across all my pages"

📝 Automated Content Creation

"Create a new page called 'Today's Standup' with my meeting notes"
"Add today's progress update to my existing project timeline page"  
"Create a weekly review page from my recent notes"

🔍 Smart Research & Analysis

"Compare my notes on React vs Vue and highlight key differences"
"Find all references to 'customer feedback' and summarize themes"
"Create a knowledge map connecting related topics across pages"

🧠 Semantic Search (optional, requires vector setup)

"Find everything I wrote about burnout, even if I didn't use that word"
"What notes relate to my thoughts on deep work?"
"Search across my Dutch and English notes for ideas about productivity"

🤝 Meeting & Documentation Workflow

"Read my meeting notes and create individual task pages for each action item"
"Get my journal entries from this week and create a summary page"
"Search for 'Q4 planning' and organize all related content into a new overview page"

💡 Key Benefits

  • Zero Context Switching: Claude works directly with your LogSeq data
  • Preserve Your Workflow: No need to export or copy content manually
  • Intelligent Organization: AI-powered page creation, linking, and search
  • Enhanced Productivity: Automate repetitive knowledge work
  • Semantic Vector Search (optional): Find notes by meaning using local Ollama or hosted OpenAI-compatible embeddings
  • DB-mode Support (opt-in): Read and write class properties on Logseq DB-mode graphs

🚀 Quick Start

Step 1: Enable LogSeq API

  1. Settings → Features → Check "Enable HTTP APIs server"
  2. Click the API button (🔌) in LogSeq → "Start server"
  3. Generate API token: API panel → "Authorization tokens" → Create new

Step 2: Add to your MCP client (No Installation Required!)

Claude Code

claude mcp add mcp-logseq \
  --env LOGSEQ_API_TOKEN=your_token_here \
  --env LOGSEQ_API_URL=http://localhost:12315 \
  -- uv run --with mcp-logseq mcp-logseq

Claude Desktop

Add to your config file (Settings → Developer → Edit Config):

{
  "mcpServers": {
    "mcp-logseq": {
      "command": "uv",
      "args": ["run", "--with", "mcp-logseq", "mcp-logseq"],
      "env": {
        "LOGSEQ_API_TOKEN": "your_token_here",
        "LOGSEQ_API_URL": "http://localhost:12315"
      }
    }
  }
}

Codex CLI

With uv installed and Logseq's HTTP API running (Step 1), add this to ~/.codex/config.toml:

[mcp_servers.logseq]
command = "uv"
args = ["run", "--with", "mcp-logseq", "mcp-logseq"]

[mcp_servers.logseq.env]
LOGSEQ_API_TOKEN = "YOUR_LOGSEQ_TOKEN"
LOGSEQ_API_URL = "http://127.0.0.1:12315"

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