Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Ancestry allele frequencies, LoF constraint, variant lists, and coverage from gnomAD, with ClinVar.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
MCP_LOG_LEVEL필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://gnomad-genetics.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"gnomad-genetics": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http gnomad-genetics https://gnomad-genetics.caseyjhand.com/mcpclaude mcp add gnomad-genetics --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/gnomad-genetics-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"gnomad-genetics": {
"url": "https://gnomad-genetics.caseyjhand.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"gnomad-genetics": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"gnomad-genetics": {
"type": "http",
"url": "https://gnomad-genetics.caseyjhand.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"gnomad-genetics": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://gnomad-genetics.caseyjhand.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
MCP_LOG_LEVEL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
gnomad_get_variantFetch the full gnomAD population record for one or more variants — allele count/number/frequency overall and broken down per genetic-ancestry group, the filtering allele frequency (faf95) to test against a disease threshold such as ACMG/AMP BA1 or BS1, homozygote and hemizygote c
gnomad_get_gene_constraintFetch gnomAD loss-of-function constraint for a gene — pLI (probability of LoF intolerance; >0.9 intolerant), LOEUF (oe_lof_upper, the headline metric) plus its lower bound and gnomAD’s LOEUF percentile, observed/expected ratios for LoF, missense, and synonymous variation with 90%
gnomad_list_gene_variantsList every gnomAD variant in a gene, transcript, or region with allele frequencies, filtering allele frequencies, zygosity counts, predicted consequences with LOFTEE's loss-of-function call, and QC status, optionally filtered to one consequence class (lof, missense, synonymous, o
gnomad_get_coverageFetch gnomAD sequencing-coverage summary across a gene, transcript, or region — mean and median read depth, plus the mean fraction of samples covered at each depth threshold (1× through 100×), separated by exome and genome track. gnomAD reports coverage in buckets: 1 bp for a reg
gnomad_get_variant_cooccurrenceEstimate whether two variants in the same gene sit on different haplotypes (in trans — compound heterozygous) or on the same one (in cis), from gnomAD v2.1 exome genotypes: the probability of compound heterozygosity and the genotype and haplotype counts behind it, overall and per
gnomad_search_clinvarSearch ClinVar (NCBI E-utilities) for a gene and return its classified variants — the germline clinical significance with its review status, 0–4 star rating, and conditions; any somatic oncogenicity or clinical-impact classification with its own review status and tumor types; mol
gnomad_dataframe_queryRun a read-only SQL SELECT against a canvas table staged by gnomad_list_gene_variants (table gene_variants) or gnomad_search_clinvar (table clinvar_variants) and return one page of the result. Use the canvas_id and table_name those tools returned to rank by allele frequency, grou
gnomad_dataframe_describeList the tables staged on a canvas and their columns (name and type) so you can write correct SQL for gnomad_dataframe_query. Use the canvas_id returned by gnomad_list_gene_variants or gnomad_search_clinvar. Returns one entry per table with its row count and column schema.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 cyanheads 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
230ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 8개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.6.0)은 4일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, aamio rendezvous
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Meet an agent you have not met, exchange messages that expire, and prove it happened. No account.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
@cyanheads/gnomad-genetics-mcp-server Ancestry allele frequencies, LoF constraint, variant lists, and coverage from gnomAD, joined with ClinVar clinical significance via MCP. STDIO or Streamable HTTP. 8 Tools (+1 opt-in) • 2 Resources • 1 Prompt
Public Hosted Server: https://gnomad-genetics.caseyjhand.com/mcp
Population genetics over gnomAD (Broad Institute), with ClinVar clinical significance joined in from NCBI. Look up per-ancestry allele frequencies, gene loss-of-function constraint, gene variant catalogs, and sequencing coverage, then query large result sets with SQL.
| Tool | Description |
|---|---|
gnomad_get_variant | Full population record for one or more variants — AC/AN/AF overall and per genetic-ancestry group, filtering allele frequency (faf95), homozygote/hemizygote counts, quality flags, per-callset counts and QC status, transcript consequence, in-silico predictors, and joined ClinVar significance. |
gnomad_get_variant_cooccurrence | Whether two variants in one gene sit in trans or in cis — the probability of compound heterozygosity with the genotype and haplotype counts behind it, overall and per ancestry group. GRCh37 IDs only; always reads gnomad_r2_1. |
gnomad_get_gene_constraint | Gene loss-of-function constraint — pLI, LOEUF (oe_lof_upper) with confidence interval and percentile, observed/expected ratios with missense and synonymous intervals, and Z-scores; mitochondrial genes return their own constraint. By HGNC symbol or Ensembl gene ID. |
gnomad_list_gene_variants | Every variant in a gene, transcript, or region with allele frequencies, filtering allele frequencies, zygosity counts, predicted consequences, and QC status, filterable by consequence class, LOFTEE confidence, max allele frequency, max filtering allele frequency, and QC pass, paged by offset. |
gnomad_get_coverage | Sequencing coverage across a gene, transcript, or region — mean/median depth and the fraction of samples over depth thresholds, per callset track. |
gnomad_search_clinvar | Gene-level ClinVar detail via NCBI E-utilities — germline classification, review status, and conditions, plus somatic oncogenicity and clinical-impact classifications, submission counts, and gnomAD-compatible variant IDs, paged by offset. |
gnomad_dataframe_query | Run a read-only SQL SELECT across canvas tables staged by the list tools. Listed only while the canvas is on. |
gnomad_dataframe_describe | List the tables staged on a canvas and their columns before writing SQL. Listed only while the canvas is on. |
gnomad_dataframe_drop | Drop a named table from a canvas to reclaim memory. Opt-in via GNOMAD_DATAFRAME_DROP_ENABLED=true — off by default, and listed only while the canvas is on. |
| Resource | Description |
|---|---|
gnomad://variant/{dataset}/{variantId} | Population record for one variant — mirrors gnomad_get_variant. |
gnomad://gene/{dataset}/{gene}/constraint | Gene loss-of-function constraint — mirrors gnomad_get_gene_constraint. |
All resource data is also reachable via tools. The list tools (gnomad_list_gene_variants, gnomad_get_coverage, gnomad_search_clinvar) return analytical row sets rather than stable single-URI documents, so they are not exposed as resources — call the tools instead.
Upstream-backed tools and resource reads share one fixed 45 s deadline across queue waits, retries, response bodies, and chained requests. A variant batch shares that deadline across every item: completed results remain available and unfinished primary items report upstream_timeout. Caller cancellation rejects the call.
| Prompt | Description |
|---|---|
gnomad_variant_triage | Guided rare-disease variant-triage workflow: population frequency → gene constraint → callability check, in order. |
dataset takes 14 values; reference_genome follows from it.
| Release | Build | Subsets |
|---|---|---|
gnomad_r4 (default) | GRCh38 | gnomad_r4_non_ukb |
gnomad_r3 | GRCh38 | gnomad_r3_controls_and_biobanks, gnomad_r3_non_cancer, gnomad_r3_non_neuro, gnomad_r3_non_topmed, gnomad_r3_non_v2 |
gnomad_r2_1 | GRCh37 | gnomad_r2_1_controls, gnomad_r2_1_non_neuro, gnomad_r2_1_non_cancer, gnomad_r2_1_non_topmed |
exac | GRCh37 | — |
A subset keeps part of its parent release's samples (non_cancer leaves out cancer-study samples, non_ukb UK Biobank's) and can leave a callset unchanged: gnomad_r4_non_ukb genome counts equal gnomad_r4's, and gnomad_r2_1_non_cancer genome counts equal gnomad_r2_1's. No subset publishes joint exome + genome data, so its overall counts sum the carried callsets. gnomAD publishes no subset coverage or constraint, so gnomad_get_coverage and gnomad_get_gene_constraint read the parent release. A variant absent from a subset fails as variant_not_found, the same as one absent from gnomAD.
gnomad_get_variant toolGNOMAD_MAX_VARIANT_BATCH), each a chrom-pos-ref-alt variantId on chromosome 1–22, X, or Y with an optional chr prefix (e.g. 1-55051215-G-GA) or an rsID (e.g. rs11591147). With GNOMAD_NORMALIZE_IDS on, an rsID is matched case-insensitively and a colon-separated ID (1:55039974:G:T, chr1:…) reads as 1-55039974-G-T; failed[].variant keeps the caller's spellingfailed[] as { variant, error, reason, recovery } without failing the rest; mitochondrial IDs (M, MT, chrM) fail as mitochondrial_unsupported, and an ambiguous rsID adds candidates. A coordinate ID carries no build: an absent one whose string also lifts over from the other build fails as variant_not_found_other_build, with the IDs it lifts to on the dataset's build in candidates. The lift is a hint — the server never rewrites or retries the ID — and costs one extra request per 25 absent coordinate IDs (one at the default batch cap), sent after the lookups and only when a coordinate ID came back absent; rsIDs are never liftedclinvar: null and clinvar_unavailable: truegnomad_r4, overall ac, an, af, and zygosity counts come from gnomAD's joint exome + genome data, whose an spans every callable sample in both callsets, even for a variant only one callset carries; joint_populations holds the same view per ancestry group. Every other dataset publishes no joint data (gnomad_r4_non_ukb and the other subsets, gnomad_r3, gnomad_r2_1, exac): it sums the carried callsets, a QC-failed callset included, and returns an empty joint_populations; callsets carries each one's own counts and filters. populations stays per callset, tagged by sourcecallsets.exome and callsets.genome give each callset's own ac, an, af, zygosity counts, and QC filters (empty when that callset passed; the callset is null when it does not carry the variant). qc_status is pass when any callset carrying the variant passed, else filtered — gnomAD's browser rule. A filtered variant stays in found[]; its counts are low-confidence (AC0: no high-quality carrier)faf95 is gnomAD's filtering allele frequency (GroupMax FAF95: the lower bound of the 95% confidence interval of the AF of the ancestry group with the highest bound, over non-bottlenecked groups) as { value, group, source }, the figure to test against a disease threshold such as ACMG/AMP BA1 or BS1, which raw af is not. It reads gnomAD's joint value wherever a joint record exists (gnomad_r4), a null included, and otherwise the higher of the carried callsets' values, source naming which; each callsets.*.faf95 is that callset's own { value, group }. It is null when gnomAD reports none (AC 0, singletons, exac) and on gnomad_r4 and gnomad_r3 subsets, whose variant record carries the parent release's value rather than the subset's; a notice then names the parent. Read a subset's own value from faf95_max on gnomad_list_gene_variants, which gnomad_r4_non_ukb carries (gnomad_r3 subsets carry none)consequence is the most severe term across transcripts, as gnomAD shows it, and transcript_id the isoform it sits on. hgvsc, hgvsp, lof (LOFTEE's call: HC high-confidence, LC low-confidence, or OS other splice), lof_filter (e.g. END_TRUNC), and lof_flags (e.g. PHYLOCSF_WEAK) describe that transcript_id, each null when there is none. primary_transcript gives the term on that gene's MANE Select transcript (its canonical one where there is none, as on GRCh37), with is_mane_select, hgvsc, hgvsp, lof, lof_filter, and lof_flags: a stop_gained on a minor isoform can be a 3′ UTR change on the MANE transcript. It is null when the variant lies outside both transcripts, as on an exon only minor isoforms carry. It is read from the same reply, at no extra requestlof_curations[] holds gnomAD's manual loss-of-function curations of the variant, each { gene_id, gene_symbol, verdict, flags, project }; it is empty for most variants, and a curation can overturn LOFTEE (a variant LOFTEE calls HC can carry a Not LoF verdict)failed[].reason: only variant_not_found and variant_not_found_other_build report absence from the chosen dataset; timeouts and other failures leave presence unknown. On variant_not_found_other_build, settle the build first — retry with a candidate if the ID was written for the other build — then check gnomad_get_coverage before interpreting an absent variant. A l앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요