Replicate

liveAI/MLTechnologyDeveloper

Replicate API — browse, run, and manage AI model predictions and deployments across thousands of hosted ML models.

16tools
0msauth
free tier50 calls/day

Tools

list_models

List public models.

No parameters required.

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model

Model detail.

No parameters required.

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model_versions

List versions.

No parameters required.

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model_version

Version detail.

No parameters required.

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search_models

Model search.

No parameters required.

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collections

Model collections.

No parameters required.

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collection

Collection detail.

No parameters required.

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create_prediction

Kick off a model run.

No parameters required.

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prediction

Single prediction (poll).

No parameters required.

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list_predictions

Recent predictions.

No parameters required.

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cancel_prediction

Cancel a prediction.

No parameters required.

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list_deployments

Your deployments.

No parameters required.

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deployment

Deployment detail.

No parameters required.

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create_deployment_prediction

Run via a deployment.

No parameters required.

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account

Your account.

No parameters required.

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hardware

Available hardware types.

No parameters required.

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Test with curl

The gateway speaks JSON-RPC 2.0 over HTTP POST. You can test any pack directly from the terminal.

List available tools
bash
curl -X POST https://gateway.pipeworx.io/replicate/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
Call a tool
bash
curl -X POST https://gateway.pipeworx.io/replicate/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"list_models","arguments":{}}}'

Use with the SDK

Install @pipeworx/sdk to call tools from any TypeScript/Node project.

TypeScript
import { Pipeworx } from '@pipeworx/sdk';
const px = new Pipeworx();
const result = await px.call("list_models", {});
ask_pipeworx
// Or ask in plain English:
const answer = await px.ask("replicate api — browse, run, and manage ai model predictions and deployments across thousands of hosted ml models");