@pipeworx/replicate

Connect: https://gateway.pipeworx.io/replicate/mcp · Install: one-click buttons

Tools: 16

Replicate MCP — run open models (Flux, Llama, Whisper, etc.) and manage predictions. Free trial credits on signup.

Auth

• Platform: PLATFORM_REPLICATE_KEY. BYO: ?_apiKey=….

Tools (models)

• list_models(cursor?) — list public models
• model(owner, name) — model detail
• model_versions(owner, name) — list versions
• model_version(owner, name, version_id) — version detail
• search_models(query) — model search
• collections() — model collections
• collection(slug) — collection detail

Tools (predictions)

• create_prediction(version, input, webhook?, webhook_events_filter?, stream?) — kick off a model run
• prediction(id) — single prediction (poll for completion)
• list_predictions(cursor?) — recent predictions
• cancel_prediction(id) — cancel a running prediction

Tools (deployments)

• list_deployments(cursor?) — your deployments
• deployment(owner, name) — deployment detail
• create_deployment_prediction(owner, name, input, webhook?, webhook_events_filter?, stream?) — run via a deployment (faster cold starts)

Tools (account)

• account() — your account
• hardware() — available hardware types

Notes

• create_prediction returns immediately with the prediction in starting or processing state. Poll prediction(id) until status is succeeded or failed, OR pass a webhook URL to be notified.
• For LLM-style streaming, pass stream=true and use the returned urls.stream SSE endpoint.

Data source

https://api.replicate.com/v1

Tools

• list_models — List all public models available on Replicate, paginated via cursor; returns owner, name, description, run count, and latest version id for each model.
• model — Fetch metadata for a specific Replicate model by owner and name, including description, visibility, run count, latest version, and GitHub URL.
• model_versions — List all published versions of a Replicate model by owner and name; returns version ids, creation timestamps, and input/output schema for each version.
• model_version — Fetch full metadata for a specific Replicate model version by owner, name, and version_id, including the complete input/output OpenAPI schema and Cog version.
• search_models — Search public Replicate models by keyword query; returns matching models with owner, name, description, and run count.
• collections — List all curated Replicate model collections (e.g. “text-to-image”, “speech-to-text”); returns collection slug, name, and description.
• collection — Fetch models belonging to a specific Replicate collection by slug (e.g. “text-to-image”); returns the collection description and a list of model objects.
• create_prediction — Start a Replicate model run by submitting a version id and input object; returns a prediction id and status that can be polled with the prediction tool until output is ready.
• prediction — Poll the status and retrieve output for a Replicate prediction by id; returns status (starting/processing/succeeded/failed/canceled), output URLs, and logs.
• list_predictions — List your recent Replicate predictions in reverse chronological order, paginated via cursor; returns prediction id, model version, status, and creation timestamp.
• cancel_prediction — Cancel a prediction.
• list_deployments — List your Replicate model deployments (dedicated, auto-scaled endpoints), paginated via cursor; returns owner, name, current model version, and scaling config.
• deployment — Deployment detail.
• create_deployment_prediction — Run via a deployment.
• account — Fetch your Replicate account details including username, name, GitHub URL, and account type.
• hardware — List available Replicate hardware types (CPU, GPU SKUs) with their names and SKU identifiers; use to select hardware when creating a deployment.