# Logseq AI

> Use this tool when you need to integrate external AI assistants with Logseq graphs, enabling automated management of pages, blocks, journals, and tasks. It solves problems related to workflow automation, data synchronization, and AI-driven content creation within Logseq. Through the local HTTP API, it accepts AI requests as inputs and outputs modified graph data, ideal for use cases requiring seamless AI-graph interactions.

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

## Description

Enables external AI assistants to interact with Logseq graphs through 34 specialized tools for managing pages, blocks, journals, and tasks via the local HTTP API.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **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:** [Glama](https://glama.ai/mcp/servers/be3wcvfl9d)
- **Repository:** <https://github.com/HarrisonTotty/logseq-ai>

## 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": "harrisontotty-logseq-ai"
    }
  }
}
```

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

---
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