Gtex Link
БесплатноНе проверенMCP server for the GTEx Portal: tissue-specific gene expression — median and per-sample TPM, top expressed genes per tissue, and gene/transcript annotation — as
Описание
MCP server for the GTEx Portal: tissue-specific gene expression — median and per-sample TPM, top expressed genes per tissue, and gene/transcript annotation — as typed tools for LLM agents.
README
Python 3.12+ CI Conformance License: MIT
An MCP server over the GTEx Portal v2 API, serving GTEx tissue expression — median and individual-sample TPM, top genes per tissue, gene and transcript annotation — to AI assistants over Streamable HTTP. It also serves a REST API from the same process.
[!IMPORTANT] Research use only. Not clinical decision support. Do not use for diagnosis, treatment, triage, or patient management.
Why
The GTEx Portal v2 API is public and needs no key, but it is shaped for the Portal's own
UI rather than for a model. /expression/medianGeneExpression requires versioned
GENCODE IDs (ENSG00000012048.23) — a gene symbol is not a valid argument — so every
question starts with a separate resolution call whose GENCODE version and genome build
must line up with the expression call that follows. Tissues are addressed by internal
tissueSiteDetailId codes, and "where is this gene expressed?" spans several paginated
endpoints that return wide, untyped JSON.
Worse, the release you query decides the annotation: gtex_v8 is GENCODE v26 and
gtex_v10 is GENCODE v39, so an ID resolved against the wrong one silently returns
nothing.
gtex-link answers that question in one call. Symbols are auto-resolved to GENCODE IDs
in the release backing the dataset you asked for; tissue expression comes back ranked
and compact by default; every result with a _meta frame (all but fetch and
get_server_capabilities) stamps provenance naming the release actually queried plus the
required citation, and the tools with an obvious next step add _meta.next_commands so a
model chains without guessing; and a token-bucket limiter keeps the whole fleet inside
GTEx's request budget.
Quick start
Hosted — nothing to install, no data to build:
claude mcp add --transport http gtex-link https://gtex-link.genefoundry.org/mcp
Run it yourself (Python 3.12+, uv). There is no data bundle and no ingest step — the server proxies the live GTEx Portal API:
uv sync --group dev
make dev # unified REST + MCP on 127.0.0.1:8000
curl http://127.0.0.1:8000/api/health
The MCP endpoint is http://127.0.0.1:8000/mcp. Streamable HTTP is the only transport —
there is no stdio, and gtex-link serve --transport http is REST-only and serves no
/mcp; MCP clients need the default unified transport. See
deployment.md.
Tools
| Tool | Purpose |
|---|---|
search |
Natural-language gene search; returns result documents (id/title/url) |
fetch |
Full gene detail for an id returned by search |
search_genes |
Search the GTEx Portal gene catalog by symbol or partial match |
get_gene_information |
Gene detail for a GENCODE ID or symbol |
get_transcript_information |
Transcript annotations for a GENCODE ID |
get_median_expression_levels |
Median expression (TPM) per tissue |
get_individual_expression_data |
Individual-sample expression (TPM) |
get_top_expressed_genes_by_tissue |
Top expressed genes for a tissue |
get_server_capabilities |
Discover tools, datasets, tissues, limits, and workflows |
search / fetch are the OpenAI deep-research / Apps SDK contract and are retained
verbatim — a documented exception to the canonical-verb rule of the GeneFoundry
Tool-Naming Standard v1.
Namespace. Leaf tool names are unprefixed, per Tool-Naming Standard v1. Behind the
genefoundry-router gateway, which
mounts this server with mount(namespace="gtex"), they surface as gtex_<tool> —
get_gene_information becomes gtex_get_gene_information. A leaf-level gtex_ prefix
would double-prefix to gtex_gtex_…, so do not add one.
Data & provenance
| Source | GTEx Portal v2 API — https://gtexportal.org/api/v2/, public, no authentication |
| Datasets | gtex_v8 (GENCODE v26, the default) and gtex_v10 (v39) — the two GTEx expression datasets currently present and nonempty in the live catalog |
| Provenance | On every tool that has a _meta frame, _meta.gtex_release names the release the data actually came from: it follows dataset_id, and a dataset-scoped call also reports the _meta.gencode_version its gene IDs were resolved against. Tools taking no dataset_id report the server default (gtex_v8); fetch and get_server_capabilities carry no _meta at all (data.md) |
| Refresh | None to run: no bundle, no mirror, no ingest. Calls proxy the live API behind a TTL cache, so freshness tracks the Portal |
| Rate limit | Token bucket, 5 req/s with burst 10 — upstream courtesy, not a local throttle. Do not raise it casually |
| Data licence | GTEx Portal terms. Only open-access GTEx data are reachable here; protected individual-level genotype data are dbGaP-controlled and are not exposed |
Required citation — returned verbatim in _meta.recommended_citation (on every tool that
carries a _meta frame) and at the gtex://citations resource:
GTEx Consortium. The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science. 2020;369(6509):1318-1330. doi:10.1126/science.aaz1776
More: data.md.
Documentation
- Data & provenance — dataset, refresh model, licence, citation, response modes, and error codes.
- Configuration — every
GTEX_LINK_*variable, the MCP tool profiles, and the Host/Origin request boundary. - Deployment — transports, the CLI, Docker and Compose overlays, the proxy boundary, and health checks.
- Architecture — the layering, the REST surface, and why REST and MCP are deliberately not symmetric.
- Conventions — code style, test data standards, and upstream pagination.
- GTEx Portal API reference — the upstream endpoint catalogue, generated from the OpenAPI spec.
- AGENTS.md — engineering conventions for humans and coding agents.
- SECURITY.md — the trust boundary and how to report a vulnerability.
- CHANGELOG.md — release history.
Contributing
Read AGENTS.md first — it is the engineering guide. make ci-local is the
definition-of-done gate: format, lint, line budget, README standard, type check, and
tests. It must be green before handoff.
License
Code: MIT. Data: GTEx Portal data remain subject to the GTEx Portal's terms and carry the citation requirement above.
Установка Gtex Link
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/berntpopp/gtex-linkFAQ
Gtex Link MCP бесплатный?
Да, Gtex Link MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Gtex Link?
Нет, Gtex Link работает без API-ключей и переменных окружения.
Gtex Link — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Gtex Link в Claude Desktop, Claude Code или Cursor?
Открой Gtex Link на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
Roblox Studio
Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, sce
автор: paralovAWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
автор: lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
MCPHub
Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
MCP Servers Rating and User Reviews
Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent)
Compare Gtex Link with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
