`datalab_cone_search`

Pack: noirlab-datalab · Endpoint: https://gateway.pipeworx.io/noirlab-datalab/mcp

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

Find catalogue sources within a radius of a sky position, in any NOIRLab Data Lab table —

Parameters

Name	Type	Required	Description
`table`	string	yes	Fully-qualified table, e.g. “gaia_dr3.gaia_source” or “ls_dr10.tractor”.
`ra`	number	yes	Centre right ascension, decimal degrees (ICRS), 0-360.
`dec`	number	yes	Centre declination, decimal degrees (ICRS), -90 to 90.
`radius`	number	no	Search radius in DEGREES (default 0.05, about 3 arcminutes). Keep it small on
`columns`	string	no	Comma-separated columns to return besides ra, dec and the computed separation, e.g.
`limit`	number	no	Max sources to return (default 50, max 1000).

Example call

Arguments

{
  "table": "gaia_dr3.gaia_source",
  "ra": 56.75,
  "dec": 24.1167,
  "radius": 0.05,
  "columns": "phot_g_mean_mag",
  "limit": 5
}

curl

curl -X POST https://gateway.pipeworx.io/noirlab-datalab/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"datalab_cone_search","arguments":{"table":"gaia_dr3.gaia_source","ra":56.75,"dec":24.1167,"radius":0.05,"columns":"phot_g_mean_mag","limit":5}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('datalab_cone_search', {
  "table": "gaia_dr3.gaia_source",
  "ra": 56.75,
  "dec": 24.1167,
  "radius": 0.05,
  "columns": "phot_g_mean_mag",
  "limit": 5
});

Connect

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

{
  "mcpServers": {
    "noirlab-datalab": {
      "url": "https://gateway.pipeworx.io/noirlab-datalab/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

Regenerated from source · build September 18, 2026

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