pymol
wjgoarxiv/pymol-mcp
Headless PyMOL for molecular visualization, GROMACS/LAMMPS trajectories and clathrate-hydrate cage analysis, including H-bond networks and order parameters.
- Local integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 1
- Language
- Python
- Forks
- 0
- Latest release
- v0.1.03mo ago
- Activity
- updated 1mo ago
- Platforms listed
- macOS, Windows, Linux
- bioinformatics
- gromacs
- lammps
- mcp
- mcp-server
- model-context-protocol
- molecular-visualization
- pymol
First MCP server?Start with the basics
Access biomedical research data from PubMed, ClinicalTrials.gov and MyVariant.info.
Access and analyze exported Apple Health data.
Typed FHIR tools: build, read, validate and code FHIR resources from a patient bundle, with terminology lookup and machine-readable validation reports.
Search, retrieve, create, update and analyze clinical data via FHIR APIs, with SMART-on-FHIR authentication.
Query medical information, drug databases, drug interactions and clinical guidelines.
Connect to FHIR servers, for example to query patient history in natural language.
Local-first access to the Google Health API for Fitbit and Pixel Watch activity, sleep, heart, nutrition and reconciled health data.
Spatial transcriptomics analysis: cell annotation, deconvolution, spatial statistics and visualization.