Logseq/MCP/Server/Py/ruliana/mcp-pkm-logseq

• MCP-PKM-Logseq

  • GitHub: ruliana/mcp-pkm-logseq
  • PyPI: mcp-pkm-logseq

  • Overview

    • My Notes

      • 2025-05-10 Sat not very mature API. Created by Person/Ronie Uliana, a #Shopify employee
        • a unique item is that you configure the server by creating a Logseq page
          • Create a page named "MCP PKM Logseq" in your Logseq graph to serve as the guide for AI assistants. Add the following content:
            • Description of your tagging system (e.g., which tags represent projects, areas, resources)
            • List of frequently used tags and what topics they cover
            • Common workflows you use to organize information
            • Naming conventions for pages and blocks
            • Instructions on how you prefer information to be retrieved
            • Examples of useful topic combinations for searching
            • Any context about your personal knowledge management approach
    • A specialized MCP server geared towards personal knowledge management scenarios. Instead of exposing every possible Logseq operation, it defines custom "tools" for specific queries.

  • Features

    • Custom query tools:
      • get_personal_notes(topics, from_date, to_date)
      • get_todo_list(...)
    • Domain-specific AI instructions
    • logseq://guide resource page with usage notes

  • Status

    • Active (v0.2.2 released April 2025)
    • Narrow scope means it might be used alongside a more general solution

  • Installation

    • Via PyPI: pip install mcp-pkm-logseq

  • Requirements

    • Python 3.12+

  • Compatibility

    • OS-neutral (tested on Mac/Windows for Claude)

  • Limitations

    • No push notifications
    • No multi-graph features
    • Assumes one personal graph context
    • Write access limited to marking todos as done