ergut

MCP server for LogSeq

Community ergut
Updated

MCP server to work with LogSeq via the local HTTP server

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 debuggingexperience, 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

MCP Server ยท Populars

MCP Server ยท New

    LeulAria

    Aria Icons

    MCP server for 340k SVG icons

    Community LeulAria
    knowall-ai

    Reverie โ€” graph memory that dreams

    Memory management MCP server for AI agents using Neo4j knowledge graphs

    Community knowall-ai
    keploy

    Key Highlights

    Open-source platform for creating safe, isolated production sandboxes for API, integration, and E2E testing.

    Community keploy
    hermes-labs-ai

    Fidelis Memory

    Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. MIT.

    Community hermes-labs-ai
    n24q02m

    Better Code Review Graph

    Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

    Community n24q02m