Why Use This
This skill provides specialized capabilities for aiskillstore's codebase.
Use Cases
- Developing new features in the aiskillstore repository
- Refactoring existing code to follow aiskillstore standards
- Understanding and working with aiskillstore's codebase structure
Install Guide
2 steps - 1
- 2
Install inside Ananke
Click Install Skill, paste the link below, then press Install.
https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/connecting-to-logseq
Skill Snapshot
Auto scan of skill assets. Informational only.
Valid SKILL.md
Checks against SKILL.md specification
Source & Community
Updated At Jan 19, 2026, 04:39 AM
Skill Stats
SKILL.md 191 Lines
Total Files 1
Total Size 0 B
License NOASSERTION
---
name: connecting-to-logseq
version: 1.0.0
description: >
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.
allowed-tools: Read, Write, Edit, Bash, Grep, Glob
---
# 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
| Backend | Requires Logseq Running | Read | Write | Best For |
|---------|------------------------|------|-------|----------|
| HTTP API | Yes | Full | Full | Real-time, interactive |
| CLI | No | Full | Limited | Offline, batch, CI/CD |
| MCP Server | Yes (via HTTP) | Full | Full | Claude-native tools |
## Quick Start
### 1. Enable Logseq HTTP API
In Logseq:
1. **Settings** → **Advanced** → **Developer mode**: ON
2. **Settings** → **Advanced** → **HTTP APIs server**: ON
3. **Settings** → **Advanced** → **Authorization tokens** → Create token
### 2. Set Environment Variable
```bash
export LOGSEQ_API_TOKEN="your-token-here"
```
### 3. Initialize Plugin
Run the setup wizard:
```bash
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**:
```json
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**:
```bash
npm install -g @logseq/cli
```
**Usage**:
```bash
# 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**:
```bash
cd servers/logseq-mcp
npm install
npm run build
```
## Configuration File
**Location**: `.claude/logseq-expert/env.json`
```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 → Advanced
3. **Check firewall**: Ensure localhost:12315 is accessible
4. **Test manually**:
```bash
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 $LOGSEQ_API_TOKEN`
### "CLI not found"
1. **Install globally**: `npm install -g @logseq/cli`
2. **Or use npx**: `npx @logseq/cli --help`
3. **Check PATH**: Ensure npm global bin is in PATH
### "MCP server not working"
1. **Build server**: `cd servers/logseq-mcp && npm run build`
2. **Check Node.js**: Requires Node 18+
3. **Verify HTTP API**: MCP server uses HTTP API internally
## Scripts Reference
| Script | Purpose |
|--------|---------|
| `init-environment.py` | Interactive setup wizard |
| `detect-backend.py` | Auto-detect available backends |
| `test-connection.py` | Test connectivity |
| `preflight-checks.sh` | Validate environment |
Run scripts from plugin root:
```bash
python logseq-expert/scripts/init-environment.py
```
## Security Notes
- **Never commit tokens** to version control
- Use **environment variables** for sensitive data
- Token in config supports `${VAR}` syntax for env vars
- HTTP API only listens on localhost by default