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.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcp-logseq": {
"env": {
"LOGSEQ_API_URL": "http://localhost:12315",
"LOGSEQ_API_TOKEN": "your_token_here"
},
"args": [
"run",
"--with",
"mcp-logseq",
"mcp-logseq"
],
"command": "uv"
}
}
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Transform your LogSeq knowledge base into an AI-powered workspace! This MCP server enables Claude to seamlessly interact with your LogSeq graphs.
No automated test available for this server. Check the GitHub README for setup instructions.
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Connect Claude to your LogSeq knowledge base. Read, create, and manage pages — with optional semantic vector search and DB-mode graph support.
Transform your LogSeq knowledge base into an AI-powered workspace! This MCP server enables Claude to seamlessly interact with your LogSeq graphs.
📊 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"
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
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"
}
}
}
}
"Please help me organize my LogSeq notes. Show me what pages I have."
Semantic search over your Logseq graph using local AI embeddings — find notes by meaning, not just keywords. Searches across all your pages using vector similarity and full-text search combined, with cross-language support.
Powered by Ollama (local embeddings) and LanceDB (embedded vector DB). No data leaves your machine.
→ Full setup guide: VECTOR_SEARCH.md
The server provides 16 tools with intelligent markdown parsing, plus 3 optional vector search tools:
| Tool | Purpose | Example Use |
|---|---|---|
list_pages | Browse your graph | "Show me all my pages" |
get_page_content | Read pag |