mcp-replicate
If you are the rightful owner of mcp-replicate and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
A Model Context Protocol server implementation for Replicate, allowing users to run Replicate models through a simple tool-based interface.
The Replicate MCP Server is a tool that enables users to interact with Replicate models using a Model Context Protocol (MCP) server. It provides a streamlined interface for running models, making predictions, and handling images. The server requires a Replicate API token for authentication and can be configured to work with various MCP clients, including Claude Desktop. Users can install the server via npm or run it directly using npx. The server supports features such as semantic search for models, prediction management, and image handling. It is designed to be user-friendly and integrates seamlessly with developer tools like Claude Desktop, offering a robust solution for model management and execution.
Features
- Models: Search models using semantic search, browse models and collections, and get detailed model information and versions.
- Predictions: Create predictions with text or structured input, track prediction status, cancel running predictions, and list recent predictions.
- Image Handling: View generated images in your browser and manage image cache for better performance.
Tools
search_models
Find models using semantic search.
list_models
Browse available models.
get_model
Get details about a specific model.
list_collections
Browse model collections.
get_collection
Get details about a specific collection.
create_prediction
Run a model with your inputs.
create_and_poll_prediction
Run a model with your inputs and wait until it's completed.
get_prediction
Check a prediction's status.
cancel_prediction
Stop a running prediction.
list_predictions
See your recent predictions.
view_image
Open an image in your browser.
clear_image_cache
Clean up cached images.
get_image_cache_stats
Check cache usage.
