World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.
Ancestry allele frequencies, LoF constraint, variant lists, and coverage from gnomAD, with ClinVar.
选择你使用的 AI 应用,然后复制设置。
通过 5/5 项检查 · 你的提问会经过开发者的服务器(gnomad-genetics.caseyjhand.com) · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Gnomad Genetics MCP Serverhttps://gnomad-genetics.caseyjhand.com/mcp在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
+ConnectorsGnomad Genetics MCP Server
用 Gnomad Genetics MCP Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Gnomad Genetics MCP Server,或回答中出现 Gnomad Genetics MCP Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
Plugins+Add custom MCP server
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
Gnomad Genetics MCP Serverhttps://gnomad-genetics.caseyjhand.com/mcp开启新聊天,输入前先从插件列表中选择 Gnomad Genetics MCP Server
用 Gnomad Genetics MCP Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 Gnomad Genetics MCP Server,或回答中出现 Gnomad Genetics MCP Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --transport http --scope user gnomad-genetics https://gnomad-genetics.caseyjhand.com/mcp应能看到 Gnomad Genetics MCP Server 在列表中并显示已连接
用 Gnomad Genetics MCP Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Gnomad Genetics MCP Server,或回答中出现 Gnomad Genetics MCP Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
用 Gnomad Genetics MCP Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Gnomad Genetics MCP Server,或回答中出现 Gnomad Genetics MCP Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
用 Gnomad Genetics MCP Server 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Gnomad Genetics MCP Server,或回答中出现 Gnomad Genetics MCP Server 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://gnomad-genetics.caseyjhand.com/mcpJSON 设置在下方“开发者专用”中
Claude Code
claude mcp add --transport http --scope user gnomad-genetics https://gnomad-genetics.caseyjhand.com/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"gnomad-genetics": {
"url": "https://gnomad-genetics.caseyjhand.com/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"gnomad-genetics": {
"type": "http",
"url": "https://gnomad-genetics.caseyjhand.com/mcp"
}
}
}Claude Code
claude mcp add --scope user gnomad-genetics --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/gnomad-genetics-mcp-serverClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"gnomad-genetics": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"gnomad-genetics": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"gnomad-genetics": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/gnomad-genetics-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}MCP_LOG_LEVEL env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
工具名称和描述与服务器在 2026年11月11日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
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.
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月14日
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 5 项适用的基础检查中通过了 5 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于10天前,最新版本(0.6.0)于10天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
同一分类中有:World Monitor, Claude Flow, Windmill
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
@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