ergut
MCP Serverergutpublic

mcp logseq server

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.

Repository Info

88
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13
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88
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Python
Language
-
License

About This Server

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.

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

MCP server for LogSeq

MCP server to interact with LogSeq via its API.

Components

Tools

The server implements multiple tools to interact with LogSeq:

  • list_graphs: Lists all available graphs
  • list_pages: Lists all pages in the current graph
  • get_page_content: Return the content of a single page
  • search: Search for content across all pages
  • create_page: Create a new page
  • update_page: Update content of an existing page
  • delete_page: Delete a page

Example prompts

It's good to first instruct Claude to use LogSeq. Then it will always call the tool.

Example prompts:

  • Get the contents of my latest meeting notes and summarize them
  • Search for all pages where Project X is mentioned and explain the context
  • Create a new page with today's meeting notes
  • Update the project status page with the latest updates

Configuration

LogSeq API Configuration

You can configure the environment with LogSeq API settings in two ways:

  1. Add to server config (preferred)
{
  "mcp-logseq": {
    "command": "uvx",
    "args": [
      "mcp-logseq"
    ],
    "env": {
      "LOGSEQ_API_TOKEN": "<your_api_token_here>",
      "LOGSEQ_API_URL": "http://localhost:12315"
    }
  }
}
  1. Create a .env file in the working directory with the required variables:
LOGSEQ_API_TOKEN=your_token_here
LOGSEQ_API_URL=http://localhost:12315

Development

Building

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with:

npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-logseq run mcp-logseq

Quick Start

1

Clone the repository

git clone https://github.com/ergut/mcp-logseq-server
2

Install dependencies

cd mcp-logseq-server
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerergut
Repomcp-logseq-server
LanguagePython
License-
Last fetched8/10/2025

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