Logseq API MCP Server

by gustavo-meilus

30 stars

419 downloads

Not rated

GitHub

Knowledge Base

About

A MCP server that uses Logseq API to extract and interact with Logseq notes.

Details

Author: gustavo-meilus
GitHub stars: 30
Downloads: 419
Categories: Knowledge Base

- 21 tools: 12 read (search, query, page/block retrieval) and 10 write (create, edit, delete pages/blocks)
- Automatic tool discovery: drop a Python file into src/tools/ — no registration needed
- Privacy filter: pages tagged with tags from LOGSEQ_EXCLUDE_TAGS are hidden from all read operations
- DB‑mode support: set LOGSEQ_DB_MODE=true to enable database‑format API paths and Datalog‑powered queries
- Full‑text search across blocks, pages, and file names
- Backlink analysis including block‑level references

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Logseq API MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

From the repository

Clone the repository, run uv sync, copy .env.template to .env, and set LOGSEQ_API_ENDPOINT (default http://127.0.0.1:12315/api) and LOGSEQ_API_TOKEN (obtain from Logseq Settings → Features → Developer mode). Then add the server to your Claude Desktop config (~/.claude/claude_desktop_config.json) with uv run --directory /path/to/logseq-api-mcp python src/server.py. Restart Claude Desktop; all 21 tools become available.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "logseq api mcp server": {
            "logseq-api-mcp": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

McpServers

{
    "logseq-api-mcp": {
        "command": "uv",
        "args": [
            "sync"
        ]
    }
}

logseq-api-mcp

Your AI assistant starts every session blind to your Logseq knowledge graph. logseq-api-mcp fixes that: 21 tools to read, write, query, and search your notes — auto-registered the moment you drop a Python file into src/tools/.

[]()
[]()

<picture>
<source media="(prefers-color-scheme: dark)" srcset="assets/architecture-dark.svg">
<source media="(prefers-color-scheme: light)" srcset="assets/architecture-light.svg">
Architecture: AI Client → logseq-api-mcp (21 tools, privacy) → Logseq API → Knowledge Graph
</picture>

---

Quick Start

Step 1 — Install

git clone https://github.com/gustavo-meilus/logseq-api-mcp.git
cd logseq-api-mcp
uv sync

Step 2 — Configure

```bash
cp .env.template .env

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

logseq-api-mcp

Quick Start

Install

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