llms.txt Content
# Folklore
> Classify and interpret a supported public GRCh38 germline variant under ACMG/AMP with structured evidence, provenance and related scientific literature. Folklore is clinical genomics software provided by Helena Bioinformatics, and Folklore Clinical Variant Interpretation MCP is its free public read-only agent interface.
## Reading rules
- Phenotype matching prioritizes genes and variants; it does not rewrite the ACMG classification, and neither score establishes a diagnosis.
- Computational predictors estimate biological properties; they do not classify a variant on their own. Folklore uses separate calibrated BayesDel_noAF and guarded SpliceAI paths for formal computational evidence.
- Displayed SIFT, AlphaMissense, MetaSVM, DANN, PhyloP and GERP outputs provide clinical context and do not add separate ACMG votes in the current formal path.
- Database counts describe different scopes: 16 production classification and reference databases in the core Stage 4 enrichment, and 45 total reference databases and curated sources across all Folklore modules. Smaller subsystem counts are not platform-wide totals.
- The public documentation describes ACMG/AMP version 4 material as beta or draft and does not claim conformance with a final version 4 standard.
## Genomic analysis: gene-disease evidence and single-variant interpretation
- [Genomic analysis MCP: variant and gene-disease evidence](https://folklore.helena.bio/mcp/clinical-variant-interpretation): Bioinformatics tools for ClinGen gene-disease associations, single-variant interpretation and literature.
- [Automated ACMG/AMP variant classification](https://folklore.helena.bio/acmg-variant-classification): Classify one supported public GRCh38 germline variant and review the automated classification, applied criteria, evidence and provenance.
- [Clinical variant interpretation API](https://folklore.helena.bio/clinical-variant-interpretation-api): Public read-only machine interface for variant classificat