MCP Server · Reviewed 2026-07-16
Hello-QM/catgo-LRG
STEADY · 82/100
Hello-QM/catgo-LRG — AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission. Tauri desktop app with SvelteKit frontend and FastAPI Python backend. Drives VASP, ORCA, CP2K, QE, GPAW, DFTB+, SIESTA, LAMMPS.. Repo-surface review: measured from the public repository (166 stars, AGPL-3.0, last push 2026-07-15); not hands-on tested.
Visit Hello-QM/catgo-LRG →Related agents
What we saw
1 screenshot captured by the Hlido engine during the reviewed run (run-3e7c549f050cd069-github-com). Our own captures — not vendor marketing material.
Evidence
Public-surface checklist
- ✓ repo_reachable (required) — GH API 200 for Hello-QM/catgo-LRG
- ✓ readme_present (required) — README length 30770
- ✓ license_present (required) — AGPL-3.0
- ✓ install_documented (required) — install/usage section found in README
- ✓ active_12mo (required) — last push 1d ago
- ✓ releases_present — latest v1.4.5
- ✓ community_traction — 166 stars
- ✓ ci_or_tests — 14 workflow file(s)
- ✓ recent_commit_90d — last push 1d ago
- ✓ agent_consumable — MCP server markers in README
scorecard.json · registry · methodology
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