`count_by_field`

Pack: idigbio · Endpoint: https://gateway.pipeworx.io/idigbio/mcp

Get taxonomic/geographic specimen counts grouped by a field (top values + counts) across iDigBio. Optionally scope the counts with taxonomy/locality filters. Keyless.

Parameters

Name	Type	Required	Description
`field`	string	yes	Field to group by: one of country, stateprovince, family, genus, institutioncode, basisofrecord.
`scientific_name`	string	no	Optional filter to scope the counts.
`genus`	string	no	Optional filter to scope the counts.
`family`	string	no	Optional filter to scope the counts.
`country`	string	no	Optional filter to scope the counts.
`top_count`	number	no	Number of top buckets to return (default 10, max 25).

Example call

Arguments

{
  "field": "country"
}

curl

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

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('count_by_field', {
  "field": "country"
});

More examples

{
  "field": "family",
  "genus": "acer",
  "top_count": 20
}

Connect

Add this to your MCP client config, or use one-click install buttons:

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

See Getting Started for client-specific install steps.

count_by_field