Pharmacogenomics Guidelines Mcp Server

io.github.cyanheads由 GitHub 账号 cyanheads 发布v0.3.0更新于 Oct 30, 2026

Find pharmacogenomics guidelines, translate diplotypes, and retrieve prescribing recommendations.

发布方自己的服务:Guidelines

已验证Streamable HTTP可网页运行知识与记忆数据与分析

概览

AI 生成的概览

只读访问公开的 CPIC/ClinPGx 药物基因组学数据:基因–药物配对、指南、等位基因证据、双倍型解读与用药建议。

可以做什么
  • 按基因、药物名称、RxNorm/ATC 编码、CPIC 等级或检测标签检索已评估的基因–药物配对,支持分页
  • 按 ID、基因或药物获取指南覆盖范围,含相关药物与配对
  • 将双倍型或 HLA 等位基因状态转换为基因结果、活性评分与查询键
  • 按药物、基因型或提供的基因结果浏览或匹配用药建议,可选查看示例 CDS 检测提示
  • 查看等位基因功能、证据与人群频率,并列出基因、表型与受控词表
适用场景
适合需要查询药物基因组学证据的场景:哪些基因–药物配对已被评估、实验室双倍型结果意味着什么、某药物在特定基因型下的 CPIC 建议。适用于研究与草拟辅助,不能单独用于临床决策。
运行要求
可使用公开托管的 HTTP 端点,或通过 npx 在本地运行(需 Node.js;源码构建需 Bun 1.4+ 或 Node 24+)。无需 API 密钥或账号。需能访问 CPIC API。可选环境变量用于配置传输方式、主机、端口、端点路径、认证模式与日志级别。
安装前请注意
查询内容(含基因结果)会发送至 CPIC API,且包含这些内容的请求 URL 会出现在响应中;托管实例还会经其中转,涉及患者数据时应自行本地部署。源数据可能遗漏指南细节或滞后更新,临床使用前须核对所链接的指南。配对不等于用药建议,未提供的基因不得视为正常。所有工具均为只读,不存储患者记录。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Pharmacogenomics Guidelines Mcp Server,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.cyanheads%2Fpharmacogenomics-guidelines-mcp-server/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "pharmacogenomics-guidelines": {
      "type": "http",
      "url": "https://pharmacogenomics-guidelines.caseyjhand.com/mcp"
    }
  }
}

README

@cyanheads/pharmacogenomics-guidelines-mcp-server

Find pharmacogenomics guidelines, translate diplotypes, and retrieve prescribing recommendations via MCP. STDIO or Streamable HTTP.

6 Tools


Overview

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.

Tools

ToolDescription
pgx_search_pairsSearch evaluated gene–drug pairs by gene, drug, RxNorm/ATC identifier, CPIC level or testing label
pgx_get_guidelineRetrieve guideline coverage by ID, gene or drug, with related drugs and pairs
pgx_lookup_diplotypeTranslate a diplotype or HLA allele status into its gene result, activity score and lookup key
pgx_get_recommendationsBrowse or match source prescribing recommendations and opt-in example CDS test alerts
pgx_search_allelesInspect allele function, evidence, definition metadata and population frequencies
pgx_list_referenceList genes, gene-specific results, controlled vocabulary and input formats

Agent skill

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.

Capability reference

pgx_search_pairs tool

  • Optional filters, combined with AND: geneSymbol, drugName (literal substring), drugId, rxnormId, atcId (exact code, no hierarchy expansion), cpicLevel, provisional, pgxTesting and usedForRecommendation.
  • RxNorm/ATC prefixes and ATC letters accept any casing in both advertised schemas and runtime validation. Outer whitespace is ignored; blank identifiers are unset.
  • limit defaults to 25; positive safe integers above 100 clamp to 100 with a notice. Continue from page.nextOffset.
  • Returns complete pair records, each with its drug record and guideline link. Retired pairs appear only with includeRetired: true or cpicLevel: "Retired".

pgx_get_guideline tool

  • Three lookup modes; selectors from other modes are rejected:
    • by: "id" with guidelineId
    • by: "gene" with geneSymbol
    • by: "drug" with exactly one of drugName (exact, case-insensitive) or drugId
  • Default view: "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.
  • No coverage returns 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 tool

  • Takes geneSymbol plus a source-supported diplotype, in either allele order:
    • star alleles (*1/*2, *1x2/*4)
    • HLA allele status (*57:01 positive)
    • non-star notation (c.1905+1G>A (*2A)/Reference)
  • Returns found, matchedDiplotype, guidance, and every matching source record with its gene result, activity score, EHR priority and lookup key.
  • Several matching records are left ambiguous, never resolved to one. No result is calculated.

pgx_get_recommendations tool

  • Omit view 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.
    • On its own, or with geneSymbol or population, it browses (exploratory).
    • To match, add phenotype or activityScore. These need geneSymbol when the drug's recommendations involve several genes.
    • Alternatively, add a 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.
  • Source gene 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.
  • All modes accept an exact 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.
  • Empty-result notices distinguish unresolved drugs, absent recommendation tables, population mismatches and past-end pages. Where source coverage exists, a no-table notice links the guideline for consultation.
  • Alert view returns complete source records in 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 tool

  • Requires geneSymbol. 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.
  • The 24,000-byte soft budget measures the entire serialized tool result, including both response surfaces and enrichment. It cuts only between complete alleles, keeping every frequency row. An indivisible oversized first row sets oversizedRow: true with a notice. Follow page.nextOffset to reconstruct the remaining rows.
  • Returns allele function and evidence with definition metadata and populationFrequencies. Frequencies stay as source fractions, missing values stay missing, and inferred frequencies are flagged as inferred.

pgx_list_reference tool

  • topic is one of:
    • genes — optional geneSymbol filter
    • phenotypes — requires geneSymbol
    • cpic_levels, pgx_testing, classifications, input_formats
  • The two live topics (genes, 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.
  • Static topics return their whole vocabulary without calling the CPIC API. They reject geneSymbol and carry a verificationDate.

Features

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:

  • One lookup chain: reference values → pairs → guidelines → allele and diplotype evidence → recommendations
  • CPIC evaluation levels, ClinPGx testing labels and recommendation classifications are kept separate. A testing label is not an FDA label, and an evaluated pair is not a recommendation.
  • Matching uses only results you supply. An omitted gene is never assumed normal, negative or Indeterminate. Phenotypes, decimal activity scores and HLA allele statuses are each checked against CPIC's own values.
  • Bounded workflows:
    • 45-second deadline, at most 100 HTTP attempts, three concurrent requests, two retries per request
    • Related scans stop at 2,000 rows (drug resolution 500). Guideline lists and detail views page at the source; related counts use exact source totals, with bounded scans only when totals are missing. Past a scan cap the call fails as query_too_broad rather than returning partial results.

Agent-friendly output:

  • Provenance: exact deduplicated request URLs, access timestamp, returned row versions, and license and policy links. Each version uses an RFC 6901 JSON Pointer into the result and a requestIndex into requestUrls. API v1 names the interface, not a database release.
  • Explicit outcomes: recommendation status, per-gene geneResolutions, incompleteMatches, and typed error reasons with recovery text.
  • Lossless text output: content[] carries the complete result as JSON with one clickable link per distinct destination in each rendered block, matching structuredContent. effectiveQuery, notices and page (total, nextOffset) explain every result.

Source attribution and clinical limitations

Data comes from the CPIC Database and ClinPGx. The CPIC data license and the ClinPGx usage policy cover the source data; this repository's Apache-2.0 license covers its code.

The database tables can omit guideline nuances or lag behind guideline updates, so check each linked guideline before clinical use. Results apply only to their stated genes, drugs, populations and indications, and treatment decisions remain with the clinician and patient. The server stores no patient records, but genetic queries are sent to the CPIC API, and the request URLs, which contain them, appear in responses.

Getting started

Connect to the hosted instance, no install:

sh
claude mcp add --transport http pharmacogenomics-guidelines-mcp-server https://pharmacogenomics-guidelines.caseyjhand.com/mcp

Queries to the hosted instance pass through its server on the way to the CPIC API. For patient data, run your own instance.

Or run it locally:

sh
claude mcp add pharmacogenomics-guidelines-mcp-server -- npx -y @cyanheads/pharmacogenomics-guidelines-mcp-server

For other clients, add this to the MCP config file:

json
{  "mcpServers": {    "pharmacogenomics-guidelines-mcp-server": {      "command": "npx",      "args": ["-y", "@cyanheads/pharmacogenomics-guidelines-mcp-server"]    }  }}

No API key is needed. For Docker or a source build, see Running the server.

Configuration

No server-specific environment variables are required.

VariableDescriptionDefault
MCP_TRANSPORT_TYPETransport: stdio or http.stdio
MCP_HTTP_HOSTHTTP bind address.127.0.0.1
MCP_HTTP_PORTHTTP server port.3010
MCP_HTTP_ENDPOINT_PATHMCP endpoint path./mcp
MCP_SESSION_MODEHTTP session mode: stateless, stateful or auto.stateless
MCP_AUTH_MODEAuthentication: none, jwt or oauth.none
MCP_LOG_LEVELLog level (debug, info, warning, error, etc.).debug
OTEL_ENABLEDEnable OpenTelemetry.false

See .env.example for the common framework overrides.

Running the server

Local development

Requires Bun v1.4.0 or higher (or Node.js v24+), and network access to https://api.cpicpgx.org.

  • Clone and install:

    sh
    git clone https://github.com/cyanheads/pharmacogenomics-guidelines-mcp-server.gitcd pharmacogenomics-guidelines-mcp-server && bun installcp .env.example .env   # optional: adjust transport, logging, or telemetry settings
  • Build and run the production version:

    sh
    # One-time buildbun run rebuild
    # Run the built serverbun run start:http# orbun run start:stdio
  • Run checks and tests:

    sh
    bun run devcheck  # Lints, formats, type-checks, and morebun run test      # Runs the test suite

Docker

sh
docker run --rm -p 3010:3010 ghcr.io/cyanheads/pharmacogenomics-guidelines-mcp-server:latest

The image defaults to HTTP transport, stateless session mode, and logs to /var/log/pharmacogenomics-guidelines-mcp-server. To run it over stdio from an MCP client, use "command": "docker" with "args": ["run", "-i", "--rm", "-e", "MCP_TRANSPORT_TYPE=stdio", "ghcr.io/cyanheads/pharmacogenomics-guidelines-mcp-server:latest"]. To build locally, docker build -t pharmacogenomics-guidelines-mcp-server .; OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.

Project structure

DirectoryPurpose
src/mcp-server/tools/definitionsThe six tool definitions and the allToolDefinitions registry.
src/mcp-server/tools/sharedPaging schemas and lossless Markdown rendering.
src/services/cpicFixed-host CPIC requests, source record schemas, discovery, evidence and recommendation matching.
skillsThe published agent skill, served over MCP via createApp({ skills }).
tests/unitService, tool contract, boundary and formatter tests.
tests/integrationStdio server check of the published skill resource.
tests/scriptsBundle cleaner and packaging linter selector tests.
docsDesign contract and generated directory tree.

Development guide

See CLAUDE.md for development guidelines and architectural rules. The short version:

  • Handlers throw, framework catches — no try/catch in tool logic
  • Use ctx.log for logging, ctx.state for storage
  • Register new tools in allToolDefinitions (src/mcp-server/tools/definitions/index.ts), which src/index.ts passes to createApp()
  • Wrap external API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields

Contributing

Issues are welcome. Run checks and tests before submitting:

sh
bun run devcheckbun run test

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.

来源:README.md,提交 743b7db

工具

6

pgx_search_pairs

Search evaluated gene–drug pairs

Search 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_guideline. A pair evaluation is not a prescribing recommendation. Follow nextOffset to continue.

输入参数atcIdlimitdrugIdoffsetdrugNamerxnormIdcpicLevelgeneSymbolpgxTestingprovisionalincludeRetiredusedForRecommendation

pgx_get_guideline

Get guideline coverage

Retrieve 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. Ambiguous drug names page candidates for retry with drugId. Follow page.nextOffset; the 24,000-byte soft budget cuts only between complete rows, with oversizedRow for an indivisible exception. Missing coverage is found=false. Consult linked guidelines before clinical use.

输入参数by必填viewlimitdrugIdoffsetdrugNamegeneSymbolguidelineId

pgx_lookup_diplotype

Look up diplotype

Translate 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 inspect supported values. Exact lookup precedes bounded reverse-order or status aliases. Multiple source rows remain ambiguous; no activity score or missing gene result is inferred.

输入参数diplotype必填geneSymbol必填

pgx_get_recommendations

Get recommendations

Browse 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 drug. Optional view=test_alerts selects complete example CDS alerts instead of recommendations, without joins; default view=recommendations. Alert records retain ordered alerttext, No CDS and n/a. Use pgx_list_reference topic phenotypes for source values. Every matched prerequisite must be explicit; omitted genes are never normal, negative or No Result. Preserve populations, scores, classifications and source text. Follow page.nextOffset and incompletePage.nextOffset independently for the selected collection and missing-gene diagnostics; consult source guidelines before clinical use.

输入参数mode必填viewlimitdrugIdoffsetdrugNamegenotypephenotypegeneSymbolpopulationgeneResultsactivityScore另有 2 个

pgx_search_alleles

Search alleles

Inspect 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. Discover genes with pgx_list_reference. Definitions are metadata, not variant interpretation. Frequencies are source fractions; inferred frequencies are not observations and do not establish individual risk. Pages have a 24,000-byte complete-result soft budget; an indivisible exception sets oversizedRow. Continue with page.nextOffset.

输入参数namelimitoffsetgeneSymbol必填clinicalFunctionalStatus

pgx_list_reference

List pharmacogenomics reference values

Inspect 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 paging; static topics return their complete vocabulary without upstream requests. Use returned values in subsequent discovery, diplotype and recommendation calls.

输入参数limittopic必填offsetgeneSymbol

版本历史

3
  1. v0.3.0最新Oct 29, 2026
  2. v0.2.1Oct 25, 2026
  3. v0.2.0Oct 20, 2026

评分

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