top_tissues

Pack: protein-atlas · 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_tissues for the schema, then POST the same URL with its arguments for the data.

List a protein’s top-expressing human tissues by RNA expression (nTPM), highest first, for one Ensembl gene id. Use search_genes to find the Ensembl id. Keyless.

Parameters

NameTypeRequiredDescription
ensembl_idstringyesAn Ensembl gene id like “ENSG00000146648”.
limitnumbernoMax tissues to return (default 10).

Example call

Arguments

{
  "ensembl_id": "ENSG00000146648"
}

curl

curl -X POST https://gateway.pipeworx.io/protein-atlas/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"top_tissues","arguments":{"ensembl_id":"ENSG00000146648"}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('top_tissues', {
  "ensembl_id": "ENSG00000146648"
});

More examples

{
  "ensembl_id": "ENSG00000146648",
  "limit": 5
}

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 protein-atlas pack
{
  "mcpServers": {
    "protein-atlas": {
      "url": "https://gateway.pipeworx.io/protein-atlas/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

Regenerated from source · build October 23, 2026