Datanotes
Datanotes is the open-source database engine for Markdown: it runs a folder of notes as typed, validated tables that your programs and AI agents query, write and undo over MCP or HTTP, while every row stays a plain file you own.
Agenten stärken
Der eigene Befehl des Herausgebers. Kein PlugMCP-Endpunkt.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code hat keinen Installationslink für einen lokalen Befehl. Kopieren Sie den Befehl unten und führen Sie ihn in einem Terminal aus.
claude mcp add io.github.davidefornelli-datanotes -- npx -y datanotes@3.0.0In einem Terminal ausführen.
{ "mcpServers": { "io.github.davidefornelli-datanotes": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
Remote-URL oder ein Befehl auf Ihrem Rechner? Worin sich die beiden Installationen unterscheiden
Auf PlugMCP ausführen
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
StartenVom Herausgeber
Datanotes is the open-source database engine for Markdown: it runs a folder of notes as typed, validated tables that your programs and AI agents query, write and undo over MCP or HTTP, while every row stays a plain file you own.
The engine of your second brain: Markdown notes as database tables, for you and your agents.
Documentation: datanotes.dev
undo_migration takes any change back.datanotes extension install).Datanotes keeps every row as a file, so it isn't a replacement for SQLite or Postgres. Choose a classic database for:
Datanotes is comfortable at 10,000 notes. At 50,000 notes, the engine takes about 15 seconds for its first start, and 2 to 3 seconds to restart.
You need Node.js 22 or newer. On Windows, use Node.js 24.16 or newer, or 26.1 or newer.
Start the engine on a folder, which becomes your database. It can be empty, or hold notes already:
npx -y datanotes serve --database your_database_folder
Run Datanotes on your notes walks you through your first table.
Agents reach the engine through its Model Context Protocol (MCP) server, datanotes mcp. It uses the engine that runs on the folder, or starts one. Every client runs the same command:
npx -y datanotes mcp --database your_database_folder
claude mcp add datanotes -- \
npx -y datanotes mcp --database your_database_folder
Add the server to claude_desktop_config.json:
{
"mcpServers": {
"datanotes": {
"command": "npx",
"args": [
"-y", "datanotes", "mcp", "--database", "your_database_folder"
]
}
}
}
Add the server to .cursor/mcp.json in your project, or to ~/.cursor/mcp.json:
{
"mcpServers": {
"datanotes": {
"command": "npx",
"args": [
"-y", "datanotes", "mcp", "--database", "your_database_folder"
]
}
}
}
Add the server to .vscode/mcp.json in your workspace:
{
"servers": {
"datanotes": {
"type": "stdio",
"command": "npx",
"args": [
"-y", "datanotes", "mcp", "--database", "your_database_folder"
]
}
}
}
Add the server to ~/.codex/config.toml:
[mcp_servers.datanotes]
command = "npx"
args = ["-y", "datanotes", "mcp", "--database", "your_database_folder"]
On Windows, clients start npx through cmd /c. For Claude Code, outside Windows Subsystem for Linux (WSL):
claude mcp add datanotes -- cmd /c npx -y datanotes mcp --database C:\Notes
In a JSON file, the command is cmd and the backslashes are escaped:
{
"mcpServers": {
"datanotes": {
"command": "cmd",
"args": [
"/c", "npx", "-y", "datanotes", "mcp", "--database", "C:\\Notes"
]
}
}
}
Connect your agents covers HTTP transport and named tokens.
Install the package with npm install datanotes. This script finds the engine on your folder, creates a table and queries it:
import { DatanotesClient } from "datanotes/client";
import { localEngine } from "datanotes/local";
const engine = localEngine("your_database_folder");
if (!engine) throw new Error("Start the engine on the folder first");
const db = new DatanotesClient({ url: engine.url, token: engine.token });
const created = await db.call("create_table", {
name: "film",
description: "Classic films I watched or want to watch",
filename: "{title}",
columns: [
{
name: "title",
type: "string",
required: true,
unique: true,
description: "The film's title, as on its poster",
},
{
name: "minutes",
type: "integer",
min: 1,
description: "Running time in minutes",
},
],
});
if (!created.ok) throw new Error(String(created.value));
await db.call("insert_row", {
table: "film",
values: { title: "Nosferatu", minutes: 94 },
});
// Refused: nothing is written, and the answer explains why
const bad = await db.call("insert_row", {
table: "film",
values: { title: "Metropolis", minutes: 0 },
});
if (!bad.ok) console.log(bad.value);
const films = await db.call("select_rows", {
table: "film",
where: { minutes: { gt: 90 } },
});
console.log(films.value);
Each film is now a note, main/public/film/Nosferatu.md, with the values in its front matter. The JavaScript client page covers the rest of the client.
The engine of your second brain: Markdown notes as database tables, for you and your agents.
{ "mcpServers": { "io.github.davidefornelli-datanotes": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}Tools
Noch keine Tool-Liste. Remote-Server erhalten eine nach dem ersten Health-Check.
FAQ
Kopieren Sie auf dieser Seite die stdio-Konfiguration für Cursor, Claude Desktop, Claude Code oder VS Code. Sie nutzt die Installation des Herausgebers, keinen PlugMCP-Proxy.
In diesem Eintrag ist keine erforderliche Umgebungsvariable aufgeführt.
Datanotes läuft lokal über stdio.
Zuletzt geprüft: 2026-11-09. The engine of your second brain: Markdown notes as database tables, for you and your agents.