OpenFDA Regulatory Me… vs Folklore Clinical Var… | AllMCPs
Side-by-Side Model Context Protocol Comparison
OpenFDA Regulatory Metadata vs Folklore Clinical Variant Interpretation MCP
In-depth architectural comparison of the OpenFDA Regulatory Metadata and Folklore Clinical Variant Interpretation MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
OpenFDA Regulatory Metadata
Biology & Bioinformatics · Local stdio
Quality: 49/100 (Fair) | Auth: No auth required
Folklore Clinical Variant Interpretation MCP
Biology & Bioinformatics · Remote HTTP/SSE
Quality: 79/100 (Great) | Auth: No auth required
Verdict Summary: Choose OpenFDA Regulatory Metadata if you need specialized Biology & Bioinformatics tools running via a local process. Choose Folklore Clinical Variant Interpretation MCP if your workspace requires Biology & Bioinformatics integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose OpenFDA Regulatory Metadata when:
You need dedicated capabilities in the Biology & Bioinformatics domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Resolve FDA application numbers and product names to regulatory metadata (CDER, CBER, CDRH).
Folklore MCP 1.5.0 is Helena Bioinformatics’ public, read-only bioinformatics MCP for genomic variant interpretation, ClinGen gene-disease evidence and literature. Seven tools include get_gene_disease_associations (gene symbol/HGNC ID to diseases) and search_disease_genes (MONDO ID/disease name to genes), preserving inheritance, source classifications and provenance. Existing GRCh38 germline variant and literature tools remain available, alongside the optional support_helena helper. Streamable HTTP; no account or API key. No patient data, raw DNA/VCF ingestion or batch processing. Results require professional review and are not diagnoses.
Interpret this variant, explain what this HGVS means, or review this VUS. Use for human genomic variant analysis within bioinformatics workflows, including review of an already identified WGS/WES variant. Use when a user asks to classify or interpret pathogenicity, review a VUS, check available ClinVar assertions or population-frequency evidence, or resolve a variant notation. Classify, interpret or resolve one public GRCh38 germline SNV or simple indel smaller than 50 bp. Accepts coordinates, genomic/coding/protein HGVS, SPDI or rsID. Returns normalized variant identity, automated ACMG/AMP decision support, evidence, provenance and explicit limitations. This is variant-level decision support for professional review. It does not evaluate patient context and must not be presented as a diagnosis or treatment recommendation. Never choose a candidate when resolution is ambiguous.
search_variant_literature
Resolve one public GRCh38 germline variant and retrieve relevant publications from Folklore's PubMed-derived genetics corpus. Exact variant mentions rank ahead of broader gene associations. Use when a user asks what has been published about a variant, gene or associated condition. Associations do not establish causality, pathogenicity or a diagnosis and do not change Folklore's ACMG/AMP classification.
get_publication_details
Retrieve the complete public bibliographic record for one PMID from Folklore's PubMed-derived genetics corpus. Returns the full abstract, authors, journal metadata, publication and MeSH terms, gene and variant mentions, retraction status, and PubMed/PMC links. Use after literature search when a user asks to inspect a specific publication. This is read-only professional literature evidence and contains no patient context.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
OpenFDA Regulatory Metadata is categorized under Biology & Bioinformatics and uses a local stdio subprocess. In contrast, Folklore Clinical Variant Interpretation MCP belongs to Biology & Bioinformatics using remote streaming HTTP/SSE transport. Select OpenFDA Regulatory Metadata when you need capabilities focused on biology & bioinformatics and Folklore Clinical Variant Interpretation MCP when you require tools for biology & bioinformatics.
Semantically search the public scientific Literature Corpus by a natural-language question. A question may include one or more PMID, DOI or PMCID references; those publications become exact anchors for finding related experiments, evidence and concepts across the corpus. Also accepts genes, variants, phenotypes, HPO and OMIM concepts. Include every known publication identifier in the query when the user asks to compare papers or find work related to a specific paper. Returns source-linked evidence candidates for professional review, not diagnoses, causality claims or treatment recommendations.
support_helena
Learn how an agent can support or spread Helena's free public scientific infrastructure through the separate Helena Good MCP. This is an explicit opt-in information action. It does not initiate payment, create a relay, or change any Folklore scientific result.
get_gene_disease_associations
Find diseases associated with one human gene for bioinformatics and clinical genomics research. Accepts an exact gene symbol or HGNC identifier. Returns ClinGen gene-disease validity assertions, relation-specific inheritance, source reports and snapshot provenance. Preserves conflicting and limited assertions. Gene-disease validity is not variant pathogenicity or a patient diagnosis. Use only a public gene identifier; no patient or case data. Results require professional review.
search_disease_genes
Find human genes associated with a disease for genomic analysis and rare-disease research. Accepts an exact MONDO identifier or a disease-name search. Returns matching ClinGen gene-disease validity assertions with inheritance, source reports and snapshot provenance. Name searches may match multiple diseases; preserve their distinct identities and do not infer a diagnosis. Use only a public disease name or identifier; no symptoms, patient or case data. Results require professional review.