`top_expressed_genes`

Pack: gtex · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)

No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/top_expressed_genes for the schema, then POST the same URL with its arguments for the data.

GTEx Portal (Genotype-Tissue Expression project) — the genes with the highest median expression in one human tissue, given a GTEx tissueSiteDetailId such as Liver or Whole_Blood. Returns ranked genes with Gencode id, gene symbol and median TPM, with a settable result count and an optional mitochondrial-gene filter. Answers which genes are most highly expressed in human liver, brain or blood.

Parameters

Name	Type	Required	Description
`tissue`	string	yes	GTEx tissueSiteDetailId (e.g. “Liver”, “Whole_Blood”)
`filter_mt_gene`	boolean	no	Exclude mitochondrial genes (default true).
`num`	number	no	1-1000 (default 50).
`datasetId`	string	no	gtex_v8 (default) \| gtex_v10

Example call

Arguments

{
  "tissue": "Whole_Blood"
}

curl

curl -X POST https://gateway.pipeworx.io/gtex/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"top_expressed_genes","arguments":{"tissue":"Whole_Blood"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('top_expressed_genes', {
  "tissue": "Whole_Blood"
});

More examples

{
  "tissue": "Liver",
  "num": 100,
  "filter_mt_gene": false,
  "datasetId": "gtex_v10"
}

Response shape

Full JSON Schema

{
  "type": "object",
  "description": "Top expressed genes for a specified tissue"
}

Connect

Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://pipeworx.io/mcp"
    }
  }
}

Connect to just the gtex pack

{
  "mcpServers": {
    "gtex": {
      "url": "https://gateway.pipeworx.io/gtex/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

top_expressed_genes