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Connecting to logseq

Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/c0ntr0lledcha0s/connecting-to-logseq

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Install
npx -y skills add ComeOnOliver/skillshub --skill connecting-to-logseq

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What its author says it does

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Manages connections to Logseq graphs via HTTP API, CLI, or MCP Server. Auto-invokes when users mention connecting to Logseq, API tokens, graph paths, connection issues, or backend configuration. Handles backend detection, environment setup, and connectivity troubleshooting.

SKILL.md

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Connecting to Logseq

When to Use This Skill

This skill auto-invokes when:

  • User wants to connect Claude to their Logseq graph
  • Setting up Logseq integration or API tokens
  • Troubleshooting connection issues
  • Configuring graph paths or backends
  • User mentions "connect to logseq", "logseq api", "logseq token"
  • Questions about HTTP API, CLI, or MCP server setup

Setup Scripts: See {baseDir}/scripts/ for initialization utilities.

Available Backends

BackendRequires Logseq RunningReadWriteBest For
HTTP APIYesFullFullReal-time, interactive
CLINoFullLimitedOffline, batch, CI/CD
MCP ServerYes (via HTTP)FullFullClaude-native tools

Quick Start

1. Enable Logseq HTTP API

In Logseq:

  1. Settings β†’ Advanced β†’ Developer mode: ON
  2. Settings β†’ Advanced β†’ HTTP APIs server: ON
  3. Settings β†’ Advanced β†’ Authorization tokens β†’ Create token

2. Set Environment Variable

export LOGSEQ_API_TOKEN="your-token-here"

3. Initialize Plugin

Run the setup wizard:

python {baseDir}/scripts/init-environment.py

Or use the command: /logseq:init

Backend Details

HTTP API (Primary)

URL: http://127.0.0.1:12315/api

Request Format:

POST /api
Content-Type: application/json
Authorization: Bearer YOUR_TOKEN

{
  "method": "logseq.Editor.getPage",
  "args": ["PageName"]
}

Common Methods:

  • logseq.App.getCurrentGraph - Get current graph info
  • logseq.Editor.getPage - Get page by name
  • logseq.Editor.getBlock - Get block by UUID
  • logseq.DB.datascriptQuery - Execute Datalog query
  • logseq.Editor.insertBlock - Create new block

CLI (@logseq/cli)

Installation:

npm install -g @logseq/cli

Usage:

# Query local graph
logseq query "[:find ?title :where [?p :block/title ?title]]" --graph ~/logseq/my-graph

# With running Logseq (in-app mode)
logseq query "..." --in-app -a YOUR_TOKEN

MCP Server

The plugin includes a custom MCP server that exposes Logseq operations as Claude tools.

Location: servers/logseq-mcp/

Build:

cd servers/logseq-mcp
npm install
npm run build

Configuration File

Location: .claude/logseq-expert/env.json

{
  "backend": "auto",
  "http": {
    "url": "http://127.0.0.1:12315",
    "token": "${LOGSEQ_API_TOKEN}"
  },
  "cli": {
    "graphPath": "/path/to/graph",
    "inApp": false
  },
  "mcp": {
    "enabled": true
  },
  "preferences": {
    "defaultGraph": null,
    "confirmWrites": false,
    "backupBeforeWrite": false
  }
}

Troubleshooting

"Cannot connect to Logseq"

  1. Check Logseq is running with HTTP API enabled
  2. Verify port: Default is 12315, check Settings β†’ Advanced
  3. Check firewall: Ensure localhost:12315 is accessible
  4. Test manually:
    curl -X POST http://127.0.0.1:12315/api \
      -H "Content-Type: application/json" \
      -H "Authorization: Bearer YOUR_TOKEN" \
      -d '{"method":"logseq.App.getCurrentGraph"}'
    

"Authentication failed"

  1. Verify token: Check it matches what's in Logseq settings
  2. Token format: Ensure no extra whitespace
  3. Environment variable: Check echo $LOGSEQ_API_TOKEN

"CLI not found"

  1. Install globally: npm install -g @logseq/cli
  2. Or use npx: npx @logseq/cli --help
  3. Check PATH: Ensure npm global bin is in PATH

"MCP server not working"

  1. Build server: cd servers/logseq-mcp && npm run build
  2. Check Node.js: Requires Node 18+
  3. Verify HTTP API: MCP server uses HTTP API internally

Scripts Reference

ScriptPurpose
init-environment.pyInteractive setup wizard
detect-backend.pyAuto-detect available backends
test-connection.pyTest connectivity
preflight-checks.shValidate environment

Run scripts from plugin root:

python logseq-expert/scripts/init-environment.py

Security Notes

  • Never commit tokens to version control
  • Use environment variables for sensitive data
  • Token in config supports ${VAR} syntax for env vars
  • HTTP API only listens on localhost by default

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