Pymol Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Pymol Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
PyMOL-MCP connects PyMOL to Claude AI through the Model Context Protocol (MCP), enabling Claude to directly interact with and control PyMOL. This powerful integration allows for conversational structural biology, molecular visualization, and analysis through natural language.
https://github.com/user-attachments/assets/687f43dc-d45e-477e-ac2b-7438e175cb36
On macOS:
brew install uvOn Windows:
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
set Path=C:\Users\[YourUsername]\.local\bin;%Path%For other platforms, visit the UV installation guide.
git clone https://github.com/vrtejus/pymol-mcp
cd pymol-mcpCreate and activate a Python virtual environment:
python -m venv venvOn macOS/Linux:
source venv/bin/activateOn Windows:
venv\Scripts\activateWith the virtual environment activated:
pip install mcpclaude_desktop_config.json file{
"mcpServers": {
"pymol": {
"command": "[Full path to your venv python]",
"args": ["[Full path to pymol_mcp_server.py]"]
}
}
}For example:
{
"mcpServers": {
"pymol": {
"command": "/Users/username/pymol-mcp/venv/bin/python",
"args": ["/Users/username/pymol-mcp/pymol_mcp_server.py"]
}
}
}Note: Use the actual full paths on your system. On Windows, use forward slashes (/) instead of backslashes.
pymol-mcp-socket-plugin/__init__.py fileHere are some examples of what you can ask Claude to do:
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.