Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Ancestry allele frequencies, LoF constraint, variant lists, and coverage from gnomAD, with ClinVar.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
MCP_LOG_LEVEL必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://gnomad-genetics.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"gnomad-genetics": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ターミナルでこれを実行します
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-server動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"gnomad-genetics": {
"url": "https://gnomad-genetics.caseyjhand.com/mcp"
}
}
}プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"gnomad-genetics": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"gnomad-genetics": {
"type": "http",
"url": "https://gnomad-genetics.caseyjhand.com/mcp"
}
}
}プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"gnomad-genetics": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://gnomad-genetics.caseyjhand.com/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
MCP_LOG_LEVEL envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
ツールの名前と説明は、サーバーが2026年11月6日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
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.
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月9日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント cyanheads で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
230ミリ秒で応答(HTTP 200)
サインイン不要
8件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。
GitHubリポジトリの最終更新は–、最新バージョン(0.6.0)がレジストリに届いたのは5 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Show HN Launches — buy per-query in-session (showhnwatch)
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
Show HN: indie launches & side projects. $0.01/query. Be born in one call — free testnet funds.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
@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 l冒頭だけを表示しています。続きはリポジトリで読めます