reMarkable MCP Server runs on your own machine — the client starts it, so there is no endpoint to ping. 547 installs a week from pypi. Last commit 15 Aug 2026.
Read, render, search, and manage reMarkable documents through MCP
We read the source, 17 h ago · rules 3dff92dd89df
Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.
ssh_client._ssh_command(f"rm -rf {entry} {sidecar_prefix}*")
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.
result = subprocess.run(
with patch.dict(os.environ, {"REMARKABLE_USE_SSH": "1"}):
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch reMarkable MCP Server and you get told the day something new turns up.
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 remarkable -- uvx remarkable-mcp
{
"mcpServers": {
"remarkable": {
"args": [
"remarkable-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.remarkable]
command = "uvx"
args = ["remarkable-mcp"]
{
"mcpServers": {
"remarkable": {
"args": [
"remarkable-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"remarkable": {
"args": [
"remarkable-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
REMARKABLE_TOKEN (Optional cloud credential. Prefer `remarkable-mcp --register CODE`, which saves it to ~/.rmapi. USB, SSH, and local-directory modes do not require it.).
The author declared them in the registry entry; get the values from the project itself.
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Paperless-NGX over MCP: search, read, upload and tag documents; manage correspondents and types.
MCP server for GroupDocs.Metadata — read, search, write, and remove document metadata.
Parse, lint, format, render, and migrate Carve documents through MCP.
MCP server for GroupDocs.Watermark — add and search document watermarks via AI agents.
MCP server for the Google Docs API: read and edit documents, styles, tables, images, comments.
Search indexes, manage documents, check health and stats.
Read, write, and manage your reMarkable tablet — browse, upload, create folders, move, delete, OCR
Answers built from our own checks of this server.