# Logseq MCP Server

> Use this tool when you need to integrate AI agents with Logseq graphs for note management and project development tracking. It solves problems related to automating workflows, tracking progress, and making technical decisions by providing an HTTP API for interacting with notes, journals, and blocks. The Logseq MCP Server accepts API requests as input and returns relevant graph data as output, making it ideal for use cases that require programmatic access to Logseq data.

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

## Description

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yko10b2lvp)
- **Repository:** <https://github.com/software-park/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": "software-park-logseq-mcp"
    }
  }
}
```

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