`ai_model`

Pack: epoch-ai-models · 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/ai_model for the schema, then POST the same URL with its arguments for the data.

Look up one AI model in Epoch AI’s models database by name — organization, release date, parameter count, training-compute (FLOP) estimate, hardware, accessibility. Resolves dated variants (e.g. “GPT-4” matches Epoch AI’s “GPT-4 (Mar 2023)” row). An unmatched name returns found:false with the closest names in the dataset, never an empty result.

Parameters

Name	Type	Required	Description
`name`	string	yes	Model name, e.g. “GPT-4”, “Gemini 1.5 Pro”, “Llama 3.1 405B”

Example call

Arguments

{
  "name": "GPT-4"
}

curl

curl -X POST https://gateway.pipeworx.io/epoch-ai-models/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"ai_model","arguments":{"name":"GPT-4"}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('ai_model', {
  "name": "GPT-4"
});

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 epoch-ai-models pack

{
  "mcpServers": {
    "epoch-ai-models": {
      "url": "https://gateway.pipeworx.io/epoch-ai-models/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

ai_model