MCP For Claude Marketplace
Replicate

Replicate MCP Connector for Claude

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Equip your AI to dynamically search, run, and monitor thousands of open-source machine learning models hosted on Replicate via simple text commands.

12 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

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 the list_collections action.
  • 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.
machine-learningmodel-inferenceopen-source-modelsfine-tuningapi-accessgenerative-ai

12 tools expose this connector's capabilities to your AI agent.

list_models

Lists public models available on Replicate

get_account

Retrieves the authenticated Replicate account details

list_collections

g., "Image-to-Text", "Audio Generation"). Lists curated collections of models

list_deployments

Lists your active model deployments on Replicate

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_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_hardware

Lists available GPU hardware options for running models

list_predictions

Lists recent predictions made by the user

search_models

Searches for public models on Replicate

See how to talk to your AI agent using Replicate.

List my recent predictions.

Invoking `list_predictions` has successfully found your last requests. The most recent executed instance has an ID of `p_30abc...`, which is confirmed finished, running a prompt about dog pictures.

Query Replicate to search for 'TTS' models.

I ran `search_models` using your keyword "TTS". Replicate returned a wide array of options, including 'suno-ai/bark' and 'coqui/xtts'. Please specify the precise owner/model so I can inspect their schematics thoroughly!

Cancel the prediction that has the ID `p_abc123`.

I immediately routed the termination request using the tool `cancel_prediction` targeted at your specified iteration ID `p_abc123`. The model sequence is permanently halted, halting processing instantly.

Yes. You can utilize the `create_prediction` action and attach the payload parameter filled out with any required input schema (e.g., specific `prompt`, `num_inference_steps`). Since models change inputs constantly, you should always ask your assistant to fetch the schema details first via `get_model` to verify keys.

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