# Logseq

> Use this tool when you need to integrate AI assistance into your personal knowledge graph, automating tasks like note-taking, content organization, and journaling. It provides direct access to your Logseq instance, enabling AI agents to read, create, and modify pages and blocks with advanced operations like block searching and linked reference tracking. Ideal for knowledge workers seeking to streamline their workflows and cross-reference information seamlessly within their AI assistant interface.

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

## Description

Provides direct integration with local Logseq instances through the Logseq API, enabling AI assistants to read, create, and modify pages and blocks in your personal knowledge graph. The implementation supports both regular pages and journal entries with proper date formatting, hierarchical block structures with parent-child relationships, and advanced operations like block searching, moving, and linked reference tracking. Built for knowledge workers who want to seamlessly integrate AI assistance into their Logseq workflows, it's particularly valuable for automated note-taking, content organization, daily journaling, and cross-referencing information across your personal knowledge base without leaving your AI assistant interface.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

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

## 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": "logseq"
    }
  }
}
```

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