MCP server for LogSeq
@ergut
About MCP server for LogSeq
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-logseq-server": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tools
7Lists all available graphs
Lists all pages in the current graph
Return the content of a single page
Search for content across all pages
Create a new page
Update content of an existing page
Delete a page
Overview
What is MCP server for LogSeq?
MCP server for LogSeq is an MCP server that enables interaction with LogSeq through its API. It provides a set of tools for reading and writing data, designed for LogSeq users who want to manage their knowledge graph with an AI assistant such as Claude.
How to use MCP server for LogSeq?
Configure the server by providing a LOGSEQ_API_TOKEN and the LOGSEQ_API_URL (default http://localhost:12315) either in the MCP server config or via a .env file. Then run uvx mcp-logseq. After adding it to the MCP client, instruct the assistant to use LogSeq; it will call the available tools automatically.
Key features of MCP server for LogSeq
- Lists all available graphs (
list_graphs) - Lists all pages in the current graph (
list_pages) - Retrieves content of a single page (
get_page_content) - Searches content across all pages (
search) - Creates a new page (
create_page) - Updates an existing page (
update_page) - Deletes a page (
delete_page)
Use cases of MCP server for LogSeq
- Fetch latest meeting notes and have them summarized
- Search all pages mentioning a project and explain the context
- Create a new page with today's meeting notes
- Update an existing project status page with the latest updates
FAQ from MCP server for LogSeq
What tools does MCP server for LogSeq provide?
It provides seven tools: list_graphs, list_pages, get_page_content, search, create_page, update_page, and delete_page.
How do I configure LogSeq API settings?
You can add the environment variables LOGSEQ_API_TOKEN and LOGSEQ_API_URL directly in the MCP server configuration (JSON) or create a .env file in the working directory.
What are the default API settings?
The default API URL is http://localhost:12315. You must provide your own LOGSEQ_API_TOKEN.
How can I debug the server?
Use the MCP Inspector by running npx @modelcontextprotocol/inspector uv --directory <path> run mcp-logseq.
What runtime does this server require?
It is built with Python and uses uv as the package manager. The recommended way to run it is via uvx mcp-logseq.
Frequently asked questions
What tools does MCP server for LogSeq provide?
It provides seven tools: `list_graphs`, `list_pages`, `get_page_content`, `search`, `create_page`, `update_page`, and `delete_page`.
How do I configure LogSeq API settings?
You can add the environment variables `LOGSEQ_API_TOKEN` and `LOGSEQ_API_URL` directly in the MCP server configuration (JSON) or create a `.env` file in the working directory.
What are the default API settings?
The default API URL is `http://localhost:12315`. You must provide your own `LOGSEQ_API_TOKEN`.
How can I debug the server?
Use the MCP Inspector by running `npx @modelcontextprotocol/inspector uv --directory <path> run mcp-logseq`.
What runtime does this server require?
It is built with Python and uses `uv` as the package manager. The recommended way to run it is via `uvx mcp-logseq`.
Basic information
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