MCP-Logseq

MCP-Logseq

Connects MCP-compatible AI assistants to Logseq graphs, enabling block-first operations, block references, and context graph building.

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README

MCP-Logseq

An AI bridge for Logseq graphs using the Model Context Protocol (MCP). Connect any MCP-compatible AI assistant (Claude, Cursor, Windsurf, etc.) to your Logseq knowledge base with deep integration for blocks and block references.

Ported from mcp-obsidian with Logseq-specific features:

  • Block-first operations — Read, append, and reference individual blocks
  • Block references — Create ((block-uuid)) links between blocks
  • Context graph — Resolve refs for AI context, get backlinks, build knowledge graphs over time

Quick Start

  1. Install Node.js (v18+)

  2. Configure your MCP client (e.g. Cursor):

    Add to your MCP config (e.g. ~/.cursor/mcp.json or Cursor Settings → MCP):

    {
      "mcpServers": {
        "logseq": {
          "command": "npx",
          "args": ["mcp-logseq", "/path/to/your/logseq/graph"]
        }
      }
    }
    

    Replace /path/to/your/logseq/graph with your actual Logseq graph directory (the folder containing journals/, pages/, .logseq/).

  3. Test — Ask your AI:

    • "List files in my Logseq graph"
    • "Read the page journals/2024_01_15.md"
    • "Search for blocks containing 'machine learning'"
    • "Get block abc-123-def and show what references it"

Logseq Concepts

Blocks

Logseq content is organized in blocks — each bullet (-) is a block. Blocks have:

  • UUID — stable ID (id:: uuid in markdown)
  • Content — main text
  • Propertieskey:: value metadata
  • Hierarchy — indentation = parent/child

Block References

  • Reference: ((block-uuid)) — links to a block
  • Embed: {{embed ((block-uuid))}} — renders block content inline

Use create_block_ref to add refs and read_page with resolveBlockRefs: true to expand them for AI context.

MCP Tools

Page Operations

Tool Description
read_page Read page with blocks; optional resolveBlockRefs for AI context
write_page Write page (overwrite/append/prepend)
list_directory List files and folders
search_blocks Search block content and properties
read_multiple_pages Batch read (max 10)
get_frontmatter Get frontmatter only
update_frontmatter Update frontmatter
delete_note Delete page (requires confirmation)
move_note Move/rename page
patch_note Replace string in page
manage_tags Add/remove/list tags
get_notes_info Metadata without content
get_graph_stats Notes, folders, size, recent files

Block Operations (Logseq-specific)

Tool Description
read_block Get block by UUID (searches entire graph)
append_block Add block to page (optionally under parent)
get_block_refs Get blocks that reference a given block (backlinks)
create_block_ref Insert ((uuid)) into a block

Example: Building a Context Graph

  1. Search for relevant blocks: search_blocks with query "project ideas"
  2. Read a block: read_block with UUID from results
  3. Get backlinks: get_block_refs to see what links to it
  4. Create links: create_block_ref to connect related blocks
  5. Read with context: read_page with resolveBlockRefs: true to expand refs for AI

Over time, the AI can build a map of your knowledge graph by following block references.

Development

npm install
npm run build
npm start /path/to/graph   # Run with tsx

License

MIT

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