`experiment_status`

Pack: ai-model-experiments · Endpoint: https://gateway.pipeworx.io/ai-model-experiments/mcp

Progress of an experiment: cell counts by state (pending/running/ok/error/skipped), spend so far vs cap, and whether it is complete. Poll this after experiment_create (every few seconds). Example: experiment_status({ experiment_id: ”…” })

Parameters

Name	Type	Required	Description
`experiment_id`	string	yes	From experiment_create

Example call

Arguments

{
  "experiment_id": "exp_abc123def456"
}

curl

curl -X POST https://gateway.pipeworx.io/ai-model-experiments/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"experiment_status","arguments":{"experiment_id":"exp_abc123def456"}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('experiment_status', {
  "experiment_id": "exp_abc123def456"
});

Connect

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

{
  "mcpServers": {
    "ai-model-experiments": {
      "url": "https://gateway.pipeworx.io/ai-model-experiments/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

experiment_status