dsh-chemistry-terms

Chemical terminology is one of the areas where AI models trip up most often: misspelled English names, mismatched translations, or confident-sounding fabrications about obscure compounds. dsh-chemistry-terms solves this by injecting a structured, curated set of chemistry term entries directly into your conversation context, so the model can look up exact definitions before citing them instead of relying on parametric memory.

The plugin registers two tools. list_chemistry returns every entry in the knowledge base, each showing the term name alongside its English equivalent for a quick at-a-glance overview. get_chemistry lets you query a single entry by its id or by name to pull detailed information for precise reference. Both tools are implemented in plain Node.js with zero network calls: all data ships locally with the plugin, so it works fully offline, on air-gapped lab machines, or in restricted intranet environments without any API keys or external services.

If you are a chemistry student, instructor, or researcher who needs reliable term lookups mid-conversation, or a developer building a domain-specific chat application that must cite chemical nomenclature accurately, dsh-chemistry-terms slots in as a lightweight memory layer that keeps every reference grounded in a verifiable, self-contained source.