dmstudio-rm MCP server
MCP serverCommunity
An MCP server in the dmstudio-rm package that writes Jupyter workflows for Datamine Studio RM automation. By Achmad Nazar Abrory (nazabrory).
6 starsUpdated 10 days agoGitHub data from 5 Nov 2026
At a glance
- Type
- MCP server
- Works with
- Datamine
- How it connects
- Reads and writes files; the tool isn't needed
- Access
- Can modify models
- Tool versions
- Datamine Studio RM (version 2.0.0b9 of the package)
- Operating systems
- Windows
- Needs a Datamine licence
- Yes
- Transport
- Local (stdio)
- AI clients documented
- Claude Desktop, Cursor, Windsurf, Google Antigravity
- Licence
- GPL-3.0-or-later
- Language
- Python
- Release status
- beta
What it can do
- Lists, searches and describes the Studio RM command wrappers in the package.
- Generates Jupyter notebook workflows that call Studio RM through its COM automation interface.
- Installs a dmstudio-rules SKILL.md into your workspace and serves the same scripting rules as an MCP resource and prompt.
- Registers itself in Claude Desktop's config with one command.
Limitations
- The server doesn't connect to Studio RM; you run the generated notebook yourself with a licensed Studio RM open on Windows.
- Community package, not affiliated with Datamine Software.
- Version 2.0.0 is still a beta (2.0.0b9 at check).
Install
pip install dmstudio-rmSource: github.com/nazabrory/dmstudio-rm#-option-a-install-from-pypi-recommended
python -m dmstudio.mcp_server --installSource: github.com/nazabrory/dmstudio-rm#option-a-claude-desktop-automated-registration
python -m dmstudio.mcp_server --install-skillsSource: github.com/nazabrory/dmstudio-rm#option-b-manual-workspace-skills-installation
MCP servers and skills run code on your computer. Review the source before installing.
AI-generated models, drawings and results must be checked by a qualified engineer before use.