# LogSeq

> Use this tool when you need to automate interactions with LogSeq for note-taking and knowledge management tasks, such as searching content, creating pages, or updating project statuses. It provides a seamless interface for AI assistants to manage LogSeq graphs via its API, abstracting complexities and enabling efficient workflows. Ideal for scenarios like summarizing meeting notes or performing content searches across multiple pages.

Canonical page: https://skillsregistry.net/skills/ergut-logseq  
JSON: https://api.skillsregistry.net/v1/skills/ergut-logseq

## Description

This MCP server, developed by Salih, provides a seamless interface for AI assistants to interact with LogSeq via its API. Built using Python and the MCP library, it offers a range of tools for managing LogSeq graphs, including listing pages, searching content, and creating or updating pages. The server abstracts the complexities of API communication, allowing AI systems to easily integrate with LogSeq for note-taking and knowledge management tasks. It's particularly useful for scenarios requiring automated interaction with LogSeq, such as summarizing meeting notes, updating project statuses, or performing content searches across multiple pages. By bridging AI capabilities with LogSeq's functionality, this implementation enables more efficient and intelligent personal knowledge management workflows.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ergut-logseq)
- **Repository:** <https://github.com/ergut/mcp-logseq>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ergut-logseq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ergut-logseq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ergut-logseq/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt