replicate-automationlisted

# Replicate Automation Automate your Replicate AI model workflows -- run predictions on any public model (image generation, LLMs, audio, video), upload input files, inspect model schemas and documentation, list model versions, and track prediction history. **Toolkit docs:** [composio.dev/toolkits/replicate](https://composio.dev/toolkits/replicate) --- ## Setup 1. Add the Composio MCP server to your client: `https://rube.app/mcp` 2. Connect your Replicate account when prompted (API token authentication) 3. Start using the workflows below --- ## Core Workflows ### 1. Get Model Details and Schema Use `REPLICATE_MODELS_GET` to inspect a model's input/output schema before running predictions. ``` Tool: REPLICATE_MODELS_GET Inputs: - model_owner: string (required) -- e.g., "meta", "black-forest-labs", "stability-ai" - model_name: string (required) -- e.g., "meta-llama-3-8b-instruct", "flux-1.1-pro" ``` **Important:** Each model has unique input keys and types. Always check the `openapi_schema` from this response before constructing prediction inputs. ### 2. Run a Prediction Use `REPLICATE_MODELS_PREDICTIONS_CREATE` to run inference on any model with optional synchronous waiting and webhooks. ``` Tool: REPLICATE_MODELS_PREDICTIONS_CREATE Inputs: - model_owner: string (required) -- e.g., "meta", "black-forest-labs" - model_name: string (required) -- e.g., "flux-1.1-pro", "sdxl" - input: object (required) -- model-specific inputs, e.g., { "prompt": "A sunset ov