Datanotes runs on your own machine — the client starts it, so there is no endpoint to ping. 2 064 installs a week from npm. Last commit 14 Oct 2026.
The engine of your second brain: Markdown notes as database tables, for you and your agents.
We read the source, 1 d ago · rules ccca72095570
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
eval(row: QueryRow): unknown;
for (const [file, what] of IN_PROGRESS) if (fs.existsSync(path.join(gitDir, file))) return `${what} is in progress in the vault's git repository (${file})`;
const child = spawn(program!, [...args, "serve", atRoot ? "--database" : "--vault", vault], { stdio: ["ignore", "ignore", "inherit"] });
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add datanotes -- npx -y datanotes
{
"mcpServers": {
"datanotes": {
"args": [
"-y",
"datanotes"
],
"command": "npx"
}
}
}
[mcp_servers.datanotes]
command = "npx"
args = ["-y", "datanotes"]
{
"mcpServers": {
"datanotes": {
"args": [
"-y",
"datanotes"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"datanotes": {
"args": [
"-y",
"datanotes"
],
"command": "npx"
}
}
}
Markdown memory for AI agents. Files you can read, edit, grep, and commit. Not a database.
Memory for AI coding agents — markdown in your own git, not a vendor database. Apache-2.0.
MCP Toolbox for Databases enables your agent to connect to your database.
MCP Toolbox for Databases enables your agent to connect to your database.
The trust and intelligence layer between AI agents and your database.
The AI that understands raw data: Schema over your tables and databases, as MCP tools.
Official Airtable MCP server — database and operations layer for agents.
Open item database and MCP server for AI agents to list, find, and trade second-hand goods.
Answers built from our own checks of this server.