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제작자가 쓴 설명(영어 원문)
Find pharmacogenomics guidelines, translate diplotypes, and retrieve prescribing recommendations.
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://pharmacogenomics-guidelines.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"pharmacogenomics-guidelines": {
"command": "npx",
"args": [
"-y",
"@cyanheads/pharmacogenomics-guidelines-mcp-server"
],
"env": {
"MCP_LOG_LEVEL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http pharmacogenomics-guidelines https://pharmacogenomics-guidelines.caseyjhand.com/mcpclaude mcp add pharmacogenomics-guidelines --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/pharmacogenomics-guidelines-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"pharmacogenomics-guidelines": {
"url": "https://pharmacogenomics-guidelines.caseyjhand.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"pharmacogenomics-guidelines": {
"command": "npx",
"args": [
"-y",
"@cyanheads/pharmacogenomics-guidelines-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": {
"pharmacogenomics-guidelines": {
"type": "http",
"url": "https://pharmacogenomics-guidelines.caseyjhand.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"pharmacogenomics-guidelines": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/pharmacogenomics-guidelines-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://pharmacogenomics-guidelines.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 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
pgx_search_pairsSearch evaluated gene–drug pairs by gene, literal drug-name substring, exact drug/RxNorm/ATC identifiers, evaluation level or testing label. Filters combine with AND; identifiers never fall back to name-only search. Results include source drug identifiers and guideline links for
pgx_get_guidelineRetrieve guideline coverage by source ID, exact gene symbol or exact drug name/ID. Default summary pages complete guideline records with exact drugCount/pairCount. view=drugs or pairs requires by=id and pages only that related collection, retaining its guideline descriptor. Ambig
pgx_lookup_diplotypeTranslate a CPIC-supported diplotype or allele-status result for one gene. Supply geneSymbol and exact diplotype notation, including star alleles, named HLA positive/negative statuses, or non-star sequences; use pgx_search_alleles and pgx_list_reference with topic phenotypes to i
pgx_get_recommendationsBrowse CPIC recommendations in drug mode with one exact drugName or drugId. Match across drugs in results mode with geneResults or geneSymbol plus phenotype/activityScore, or genotype mode with 1–10 uniquely resolved gene/diplotype entries. Both matching modes accept an optional
pgx_search_allelesInspect CPIC allele function, evidence, definition metadata and complete population frequencies for geneSymbol. Name matches literally first, then a matching gene prefix before a star allele may be removed; clinicalFunctionalStatus matches literal text case-insensitively. Discove
pgx_list_referenceInspect gene symbols, gene-specific source results, CPIC levels, ClinPGx testing labels, recommendation classifications and input formats. phenotypes requires geneSymbol and preserves distinct activity-score rows, frequencies and consultation text. Live genes/phenotypes support p
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 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
281ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 6개를 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(0.3.0)은 11일 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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
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@cyanheads/pharmacogenomics-guidelines-mcp-server Find pharmacogenomics guidelines, translate diplotypes, and retrieve prescribing recommendations via MCP. STDIO or Streamable HTTP. 6 Tools
Public Hosted Server: https://pharmacogenomics-guidelines.caseyjhand.com/mcp
Clinical pharmacogenomics evidence from the public CPIC Database API: evaluated gene–drug pairs, guidelines, allele function and frequency, diplotype-to-phenotype translation, and prescribing recommendations, with ClinPGx testing labels and guideline links. You can discover pairs, translate a patient's diplotype, and browse recommendations or match them against explicitly supplied gene results. All six tools are read-only, need no API key, and run as a stdio process, a local Streamable HTTP server, or the public hosted endpoint above.
| Tool | Description |
|---|---|
pgx_search_pairs | Search evaluated gene–drug pairs by gene, drug, RxNorm/ATC identifier, CPIC level or testing label |
pgx_get_guideline | Retrieve guideline coverage by ID, gene or drug, with related drugs and pairs |
pgx_lookup_diplotype | Translate a diplotype or HLA allele status into its gene result, activity score and lookup key |
pgx_get_recommendations | Browse or match source prescribing recommendations and opt-in example CDS test alerts |
pgx_search_alleles | Inspect allele function, evidence, definition metadata and population frequencies |
pgx_list_reference | List genes, gene-specific results, controlled vocabulary and input formats |
skills/pharmacogenomics-guidelines-guide is a published Agent Skill for the agents calling these tools: where each identifier comes from, diplotype notation, and the gates between a lab result and a recommendation. Plugin installs and the .mcpb bundle load it directly; MCP clients read it as the skill://pharmacogenomics-guidelines-guide/SKILL.md resource.
pgx_search_pairs toolgeneSymbol, drugName (literal substring), drugId, rxnormId, atcId (exact code, no hierarchy expansion), cpicLevel, provisional, pgxTesting and usedForRecommendation.limit defaults to 25; positive safe integers above 100 clamp to 100 with a notice. Continue from page.nextOffset.Retired pairs appear only with includeRetired: true or cpicLevel: "Retired".pgx_get_guideline toolby: "id" with guidelineIdby: "gene" with geneSymbolby: "drug" with exactly one of drugName (exact, case-insensitive) or drugIdview: "summary" pages complete guideline records with exact drugCount and pairCount. view: "drugs" or "pairs" requires by: "id", retains the guideline descriptor, and pages the selected top-level collection; the other collection is omitted.limit defaults to 25; positive safe integers above 100 clamp to 100 with a notice. Follow page.nextOffset. Pages use a 24,000-byte soft budget across both response surfaces and enrichment, cutting only between complete rows. One indivisible oversized row sets oversizedRow: true with a notice.found: false. An ambiguous drug name returns paged candidates; page, shown and truncated then describe those candidates. Retry with a drugId from that list.pgx_lookup_diplotype toolgeneSymbol plus a source-supported diplotype, in either allele order:*1/*2, *1x2/*4)*57:01 positive)c.1905+1G>A (*2A)/Reference)found, matchedDiplotype, guidance, and every matching source record with its gene result, activity score, EHR priority and lookup key.pgx_get_recommendations toolview or use view: "recommendations" for prescribing recommendations. view: "test_alerts" selects CPIC's example CDS language with the same drug, genotype, result, population and paging selectors; it does not fetch recommendations or join guidelines.mode: "drug" takes exactly one of drugName (exact, case-insensitive) or drugId.geneSymbol or population, it browses (exploratory).phenotype or activityScore. These need geneSymbol when the drug's recommendations involve several genes.geneResults map: 1–10 genes, each { kind: "phenotype" | "activityScore" | "alleleStatus", value }.mode: "genotype" takes genotype: 1–10 gene → diplotype entries, each of which must resolve uniquely. An optional drug selector narrows the results.mode: "results" discovers across drugs from geneResults, or geneSymbol with one phenotype/activityScore. An optional drug selector narrows the results. Unrelated panel genes do not exclude a recommendation; conflicting results for its prerequisites do.lookupmethod determines accepted result kinds: PHENOTYPE permits phenotype; ACTIVITY_SCORE permits phenotype or activityScore; ALLELE_STATUS permits alleleStatus. Values are validated against source result/score fields. Phenotypes never become calculated scores. Inspect pgx_list_reference topics genes and phenotypes before matching.population, limit (default 10) and offset. Positive safe-integer limits above 50 clamp to 50 with a notice. incompleteLimit (default 25) independently clamps above 100; incompleteOffset pages missing-gene diagnostics through incompletePage.nextOffset.status is exploratory, matched, no_match, incomplete or unresolved. Drug and results matching require at least one overlapping supplied gene, reject conflicts on overlapping prerequisites, and ignore unrelated validated panel genes. A row matches only when every gene in its lookup key has an explicit result. incompleteMatches lists the rows that need more genes, with their missingGenes and without prescribing text.alerts, including ordered alerttext, singular phenotype, lookup keys, allele statuses, scores, populations and versions. No CDS, n/a, sparse fields and explicit source No Result rows remain intact. Omitted genetics never become No Result. Missing prerequisites appear only as { testAlertId, drugId, missingGenes } in incompleteAlerts, without alert text. items and incompleteMatches remain empty; page and incompletePage describe alerts and diagnostics. Default responses omit both alert fields.pgx_search_alleles toolgeneSymbol. name matches literally first, then retries a matching gene-prefixed star allele without that prefix. clinicalFunctionalStatus matches literal text case-insensitively. Returned source spelling stays unchanged; effectiveQuery shows the allele name used.limit defaults to 25; positive safe integers above 100 clamp to 100 with a notice. Nonpositive, fractional and unsafe limits fail before fetching. offset is a nonnegative safe integer.oversizedRow: true with a notice. Follow page.nextOffset to reconstruct the remaining rows.populationFrequencies. Frequencies stay as source fractions, missing values stay missing, and inferred frequencies are flagged as inferred.pgx_list_reference tooltopic is one of:genes — optional geneSymbol filterphenotypes — requires geneSymbolcpic_levels, pgx_testing, classifications, input_formatsgenes, phenotypes) page with limit (default 25) and offset; positive safe-integer limits above 100 clamp to 100 with a notice. They return full gene and gene-result records, including distinct activity scores, frequencies and consultation text.geneSymbol and carry a verificationDate.Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.
CPIC-specific:
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