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Vinkius

Replicate API Connector for AI agents.

12 live capabilities

Run and manage machine learning models in the cloud.

Live agent request Replicate API / Connector

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AI Agent

Why people use Replicate API

Replicate for Machine Learning Model Inference

This Connector changes that by turning Replicate into a command line for your AI. You just describe the output you want, and your agent handles the heavy lifting of finding the right model, checking the parameters, and spinning up the cloud hardware. You get production-ready assets without the infrastructure headache.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct pipeline from natural language to production-grade machine learning outputs.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Video Generation

    Ask your agent to make a 5-second clip of a dragon flying over a mountain.

  2. Real-world use case 02

    Model Comparison

    Ask your agent to find the best open-source models for high-quality speech.

  3. Real-world use case 03

    Batch Image Work

    Tell your agent to generate 10 different styles of cats.

Complete set · 12capabilities

The complete Replicate API capability set.

These are the exact actions your AI can choose when you ask it to work with Replicate API.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 12 available through Replicate API.

  1. 01 Capability

    Create prediction

    Start a new model task by sending a JSON payload of inputs to the AI. This is how you actually trigger a generation.

  2. 02 Capability

    Get account

    Pull your current account details to make sure everything is connected correctly. Use this to verify your credentials.

  3. 03 Capability

    Get collection

    Pull the full list of models for a specific category like 'text-to-image'. Use this to see all options in a niche.

  4. 04 Capability

    Get model

    Get the exact schema and requirements for a specific model to ensure your inputs are correct. This prevents errors before you start.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 12 available through Replicate API.

  1. 05 Capability

    Get prediction

    Check the status and see the final output of a specific running task. Use this to monitor progress as it happens.

  2. 06 Capability

    List collections

    Browse curated groups of models like 'Audio Generation' or 'Image-to-Text'. This helps you find models by category.

  3. 07 Capability

    List predictions

    View a history of your recent model requests and their results. This is great for auditing your previous work.

  4. 08 Capability

    Search models

    Find specific models using keywords like 'TTS' or 'Stable Diffusion'. This is the fastest way to discover new capabilities.

Capability set03 / 03

09—12

4 capabilities in this set.

Part of 12 available through Replicate API.

  1. 09 Capability

    List models

    See every public model available on the Replicate platform. This helps you understand the scope of what you can run.

  2. 10 Capability

    List deployments

    View your active model deployments to see what's currently running. This is useful for tracking ongoing infrastructure.

  3. 11 Capability

    Cancel prediction

    Stop a running model task immediately to prevent unnecessary costs. This gives you instant control over your spending.

  4. 12 Capability

    List hardware

    See what GPU options are available for different types of model runs. This helps you understand the underlying compute.

Set up in minutes

One URL. Then ask Replicate API to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Replicate API from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_ZjGhumvOdiFG6C4qZnstV0k6xajsQmuKnK85lhvV/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Replicate API, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Replicate API for the conversation.

Where the request belongs

Work Replicate API can move forward.

Built around the request

For the developer who is tired of managing GPU clusters and the content creator who needs to generate high-quality media without learning complex Python libraries.

01

AI Engineer

Testing different model versions for a production pipeline without writing boilerplate code.

02

Content Creator

Generating high-fidelity video or audio assets directly from a chat interface.

03

ML Researcher

Quickly scanning and comparing different open-source models for specific use cases.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Replicate logo
01 20 capabilities

Replicate

Automate machine learning workflows via Replicate. run models, manage predictions, and search for AI assets directly from any AI agent.

View Connector
DVC logo
02 6 capabilities

DVC

Manage ML experiments via DVC. track projects and views, audit experiments history, and monitor model runs directly from any AI agent.

View Connector
Modelbit (ML Model Deployments) logo
03 1 capability

Modelbit (ML Model Deployments)

Deploy and call machine learning models directly from your AI agent using Modelbit's inference endpoints.

View Connector
Hugging Face logo
04 15 capabilities

Hugging Face

Access thousands of pre-trained AI models for NLP, vision, and audio tasks with the largest open-source machine learning hub.

View Connector
Comet ML logo
05 6 capabilities

Comet ML

Manage machine learning experiments via Comet. track model metrics, audit project workspaces, and inspect ML run parameters directly from any AI agent.

View Connector
DataRobot logo
06 6 capabilities

DataRobot

Manage AutoML via DataRobot. monitor projects and models, track deployments, and audit ML datasets directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Replicate API connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Replicate API.

The practical details behind the request, access and result.

How does Replicate MCP help with video generation?

It lets your AI agent find the best video generation models and start the process for you. You just describe the video you want, and the Connector handles the technical work of running it in the cloud.

Can I use Replicate MCP to run open-source models?

Yes, this Connector gives your AI client access to thousands of open-source models. You can run anything from image generators to specialized language models without needing your own hardware.

Does Replicate MCP save me from managing my own hardware?

Exactly. It offloads all the heavy lifting to the Replicate cloud. You don't need a GPU or a complex setup; your agent handles the inference for you.

How do I find specific models using Replicate MCP?

You can just ask your AI agent to search for a specific capability, like 'text to speech' or 'face swap'. The Connector will scan the platform and show you the best matches.

Can my AI agent stop a running task with Replicate MCP?

Yes, your agent can cancel any running prediction instantly. This is helpful if you notice an error early on or just want to stop a task to save on costs.

How does Replicate MCP handle model parameters?

The Connector can check the exact requirements for any model. This ensures that when your AI agent starts a task, it uses the correct settings and variables every time.

Can the agent pass a JSON payload directly into a Replicate model?

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.

Does the prediction command return results instantly?

No, Replicate's API operates asynchronously. The initial command gives your assistant an ID. You must then ask your AI companion to query the get_prediction capability periodically using that generated ID until it displays the completed status along with the generated web URLs or generated strings.

Can the AI browse trending or curated model collections?

Yes. Use the list_collections capability to browse curated groups of models organized by category. such as image generation, text-to-speech, or video. Each collection includes a slug and description so you can quickly identify the right set of models for your use case.

One connection away

Give your agent a direct line to Replicate API.

Connect Replicate API once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available