Folklore Clinical Variant Interpretation MCP vs Rosetta MCP Server
A side-by-side look at the Folklore Clinical Variant Interpretation MCP and Rosetta MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Folklore Clinical Variant Interpretation MCP for biology & bioinformatics work over a hosted endpoint; choose Rosetta MCP Server for biology & bioinformatics as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Folklore Clinical Variant Interpretation MCP when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a remote HTTP/SSE transport.
- Its auth model fits you: No auth required.
- You want tools like
search_variant_evidence, search_variant_literature, get_publication_details.
Choose Rosetta MCP Server when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
ROSETTA_BIN, PYTHON_BIN, MCP_DEBUG.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Biology & Bioinformatics | Biology & Bioinformatics |
| Quality signal | 79/100 · Great | 41/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed | ROSETTA_BINPYTHON_BINMCP_DEBUG |
| Verified owner | Verified | Community listing |
| GitHub stars | 1 | 19 |
| Directory activity | 8 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | 7 | Not listed |
| Full listing | View Folklore Clinical Variant Interpretation MCP | View Rosetta MCP Server |
Tools & capabilities
Folklore Clinical Variant Interpretation MCP tools 7
search_variant_evidenceInterpret 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. Never invent or swap REF/ALT, guess a transcript accession, or relabel another assembly as GRCh38. For reference_mismatch, ask the user to verify the source assembly, position, reference and accession version; preserve the refusal. A bare protein consequence needs a gene or versioned protein accession. A report row may include matching genomic, coding and protein descriptions with a versioned transcript; submit the complete row without discarding conflicting parts. For not_found, preserve the missing exact mapping rather than back-translating a protein change.search_variant_literatureResolve 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_detailsRetrieve 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.search_literature_corpusSemantically 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_helenaLearn 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_associationsFind 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_genesFind 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.
Rosetta MCP Server tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Folklore Clinical Variant Interpretation MCP
{
"mcpServers": {
"folklore-clinical-variant-interpretation-mcp": {
"url": "https://api.helena.bio/folklore/v1/mcp"
}
}
}
Rosetta MCP Server
{
"mcpServers": {
"rosetta-mcp-server": {
"command": "uvx",
"args": [
"pyrosetta-installer"
],
"env": {
"ROSETTA_BIN": "YOUR_ROSETTA_BIN_HERE",
"PYTHON_BIN": "YOUR_PYTHON_BIN_HERE",
"MCP_DEBUG": "YOUR_MCP_DEBUG_HERE"
}
}
}
}
Frequently asked questions
Folklore Clinical Variant Interpretation MCP is categorized under Biology & Bioinformatics and uses a remote HTTP/SSE transport. Rosetta MCP Server belongs to Biology & Bioinformatics and uses a local stdio subprocess. Pick Folklore Clinical Variant Interpretation MCP for biology & bioinformatics work and Rosetta MCP Server for biology & bioinformatics.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Folklore Clinical Variant Interpretation MCP is listed as free. Auth: no auth required. Rosetta MCP Server is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add folklore-clinical-variant-interpretation-mcp and rosetta-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Folklore Clinical Variant Interpretation MCP has a quality signal of 79/100 (Great) with 8 views, 0 installs and 1 GitHub stars. Rosetta MCP Server has 41/100 (Fair) with 4 views, 0 installs and 19 GitHub stars.