# MCP-Logseq

> Use this tool when you need to integrate AI assistants with Logseq graphs, enabling advanced block operations and context graph building. It solves problems of data siloing and manual knowledge graph construction by connecting MCP-compatible AI assistants to Logseq. The tool takes AI outputs and Logseq graph data as inputs, producing enriched graphs with block references and context as output.

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

## Description

Connects MCP-compatible AI assistants to Logseq graphs, enabling block-first operations, block references, and context graph building.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r5hkj4jh2u)
- **Repository:** <https://github.com/varunity/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": "varunity-mcp-logseq"
    }
  }
}
```

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