reMarkable MCP Server runs on your own machine — the client starts it, so there is no endpoint to ping. 657 installs a week from pypi. Last commit 2 Oct 2026.
Read, render, search, and manage reMarkable documents through MCP
We read the source, 3 d ago · rules 995398eba69f
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": {
"command": "uvx",
"args": [
"remarkable-mcp"
]
}
}
}
[mcp_servers.remarkable]
command = "uvx"
args = ["remarkable-mcp"]
{
"mcpServers": {
"remarkable": {
"command": "uvx",
"args": [
"remarkable-mcp"
]
}
}
}
{
"servers": {
"remarkable": {
"type": "stdio",
"command": "uvx",
"args": [
"remarkable-mcp"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
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).
Connect AI assistants to Outline for document search, reading, and management
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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.Search — index documents and run full-text search via AI agents.
Convert PDF documents to Markdown for AI agents through an authenticated remote MCP server.
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.
Answers built from our own checks of this server.