Allows running Replicate models through a Model Context Protocol (MCP) server implementation. Provides tools for searching models, creating predictions, tracking prediction status, and handling generated images.
A Model Context Protocol server implementation for Replicate. Run Replicate models through a simple tool-based interface.
your_token_here with your actual Replicate API token:(You can also use any other MCP client, such as Cursor, Cline, or Continue.)
The server needs a Replicate API token to work. You can get one at Replicate.
There are two ways to provide the token:
Add it to your Claude Desktop configuration as shown in the Quickstart section:
Alternatively, you can set it as an environment variable if you're using another MCP client:
search_models: Find models using semantic searchlist_models: Browse available modelsget_model: Get details about a specific modellist_collections: Browse model collectionsget_collection: Get details about a specific collectioncreate_prediction: Run a model with your inputsget_prediction: Check a prediction's statuscancel_prediction: Stop a running predictionlist_predictions: See your recent predictionsview_image: Open an image in your browserclear_image_cache: Clean up cached imagesget_image_cache_stats: Check cache usageMIT
You must be authenticated.
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables users to access and manage Replicate's AI models and predictions via the Model Context Protocol, offering tools for creating, canceling, and retrieving model predictions and parameters.