Replicate MCP Server
Equip your AI to dynamically search, run, and monitor thousands of open-source machine learning models hosted on Replicate via simple text commands.
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Replicate API MCP Server: mira tu AI Agent en acción
Capacidades integradas (12)
cancel_prediction
Cancels a prediction that is currently running
create_prediction
g., image generation, LLMs). Provide the model version ID and inputs as a JSON object. Starts a new model prediction on Replicate
get_account
Retrieves the authenticated Replicate account details
get_collection
Provide the collection slug (e.g., "text-to-image"). Retrieves a specific collection of models by its slug
get_model
Retrieves details for a specific model
get_prediction
). Retrieves the status and output of a prediction
list_collections
g., "Image-to-Text", "Audio Generation"). Lists curated collections of models
list_deployments
Lists your active model deployments on Replicate
list_hardware
Lists available GPU hardware options for running models
list_models
Lists public models available on Replicate
list_predictions
Lists recent predictions made by the user
search_models
Searches for public models on Replicate
Lo que este conector desbloquea
Connect your conversational assistant directly to the Replicate ecosystem. This integration grants your AI the ability to interact programmatically with a vast library of open-source machine learning models without running them on your local hardware. From orchestrating complex image generations to spinning up specialized language models, you can command AI workflows directly from your chat.
What you can do
- Execute Predictions — Command the assistant to execute specific model versions on your behalf (
create_prediction) by supplying a payload of variables. Monitor long-running processes by retrieving outputs and execution status reliably (get_prediction) or cancel them at will (cancel_prediction). - Discover Models — Instruct the AI to intelligently scan the Replicate platform for models matching a specific use case using
search_models. You can also explore trending and categorized models by leveraging thelist_collectionsaction. - Analyze Model Metadata — Whenever you discover a new model, query its precise owner and name (
get_model) to extract the exact schema and parameter requirements necessary for a successful execution. You can also view a log of your own executed tasks (list_predictions).
How it works
1. Install the Replicate platform extension module in your MCP.
2. Provide your personal Replicate API Token, extracted from your Replicate Account Settings panel. Deposit it securely into the configuration variables below.
3. Prompt your assistant organically: "Search for a high-quality video generation model, evaluate its parameter schema, and start generating a clip using the prompt 'a cat walking on Mars'."
Who is this for?
- AI Developers & Researchers — Explore and test novel open-source algorithms by generating quick predictions without modifying Python notebook code.
- Content Creators — Execute specialized image, audio, or video generation tasks by directly delegating workflows to your conversational assistant.
- Builders — Mix and match the output of various specialized models intelligently using natural language instructions.
Preguntas frecuentes
Dale a tus agentes de IA el poder de Replicate API
Accede a Replicate API y a más de 2.000 servidores MCP — listos para que tus agentes los usen, ahora mismo. Sin código pegamento. Sin integraciones personalizadas. Solo conecta el Vinkius AI Gateway y deja que tus agentes trabajen.
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