# logseq-cli

> logseq-cli — wolf-jonathan-logseq-cli. Use this tool when you need to interact with Logseq's local HTTP API from the command line, solving tasks such as automating note management and integrating with version control systems like Git. It takes input commands and options, and outputs data in a machine-readable format. Ideal for use cases requiring programmatic access to Logseq's functionality, such as scripting and automation workflows.

Canonical page: https://skillsregistry.net/skills/wolf-jonathan-logseq-cli  
JSON: https://api.skillsregistry.net/v1/skills/wolf-jonathan-logseq-cli

## Description

A Unix-composable CLI for the Logseq local HTTP API - built for humans and AI agents alike

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/wolf-jonathan/logseq-cli)

## 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": "wolf-jonathan-logseq-cli"
    }
  }
}
```

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