pymol-mcp
Related Servers
Alternatives to pymol-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceDrive VMD from any LLM — render GROMACS/LAMMPS trajectories and analyze clathrate-hydrate cages through the Model Context Protocol.17MIT
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol server that enables AI assistants to interact with LAMMPS for molecular dynamics simulations through natural language commands.14Apache 2.0
- AlicenseAqualityDmaintenanceDrive VMD headlessly from any MCP client to analyze structures and trajectories, and ray-trace publication-quality images with no display.12MIT
- AlicenseNot gradedqualityDmaintenanceIntegrates GROMACS molecular dynamics simulations with VMD visualization, enabling setup, execution, analysis, and 3D visualization of molecular dynamics workflows through natural language.24MIT
- FlicenseNot gradedqualityDmaintenanceEnables control of VMD2 for molecular dynamics analysis through natural language, allowing users to load structures, set representations, measure distances, compute RMSD, and render images without Tcl scripting.6-
- AlicenseAqualityBmaintenanceAn MCP server for computational materials science that enables AI assistants to generate LAMMPS simulations, parse outputs, analyze nematic order, detect plastic rearrangements, and estimate viscosity through 12 specialized tools.121MIT
TDQS
Scored across 32 tools
Most tools are clearly distinct (camera, selection, representation, measurement, loading). A few pairs like load_trajectory/load_trajectory_mda and hbond_network/chill_plus show some overlap, but their descriptions provide enough clarification.
Tool names predominantly follow a verb_noun pattern (reset_session, render_image, measure_distance). Deviations exist among analysis tools (order_parameter, hbond_network, chill_plus) which use noun-style names, but the overall convention remains consistent and readable.
With 32 tools, the server is overstuffed. Several tools could be merged (e.g., measure_distance/angle/dihedral, load_trajectory variants, run_pml/run_python), and the specialized clathrate tools add bulk beyond a general-purpose PyMOL interface.
Core workflows like loading, selecting, visualizing, measuring, and rendering are covered, but basic operations such as deleting objects, listing selections, or editing structures are missing. The specialized clathrate analysis is thorough, but general PyMOL coverage has notable gaps.