mcp-pkm-logseq

by ruliana

Productivity/Note Taking Logseq PKM AI Assistant Notes Todo

This is a MCP server for interacting with your Logseq Personal Knowledge Management system using custom instructions. It allows AI assistants to retrieve personal notes and todo lists from your Logseq graph.

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What is mcp-pkm-logseq?

This server provides tools for AI assistants to access and utilize information stored in a Logseq knowledge base. It exposes functionalities to retrieve personal notes and todo lists based on specified criteria.

How to use mcp-pkm-logseq?

Configure the server with your Logseq API key and URL. 2. Enable the Logseq HTTP API server in Logseq settings. 3. Create an "MCP PKM Logseq" page in your Logseq graph with instructions for AI assistants. 4. Use the provided tools (get_personal_notes, get_todo_list) through the MCP interface to retrieve data.

Key features of mcp-pkm-logseq

Retrieves personal notes from Logseq
Retrieves todo lists from Logseq
Uses custom instructions for AI interaction
Configurable API key and URL
Integration with Claude and other MCP clients

Use cases of mcp-pkm-logseq

AI assistant accessing personal notes for context
AI assistant retrieving todo lists for task management
Integrating Logseq data into AI workflows
Building custom AI tools for PKM

FAQ from mcp-pkm-logseq

What is the default API key?

The default API key is 'this-is-my-logseq-mcp-token'.

What is the default Logseq URL?

The default Logseq URL is 'http://localhost:12315'.

How do I enable the Logseq HTTP API?

Go to Logseq settings, navigate to Advanced, enable 'Developer mode', and then enable 'HTTP API Server'.

What should I put on the 'MCP PKM Logseq' page?

Include a description of your tagging system, frequently used tags, common workflows, naming conventions, and instructions on how you prefer information to be retrieved.

How do I debug this server?

The README recommends using the MCP Inspector for debugging.