
Connect Replicate (Alternative) to ChatGPT and Claude
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Control thousands of open-source models through your AI client.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 12 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 12 available through Replicate.
- 01
Get account
Returns your Replicate account type, username, and usage data. Use this to confirm your API token is active.
- 02
Get collection
Fetches details for a specific model collection like text-to-image or large-language-models.
- 03
Get model
Retrieves specific details for a model using its owner/name slug.
- 04
Get model versions
Lists all versions of a model, including their unique hash IDs and input/output schemas.
05-08
4 capabilities in this set.
Part of 12 available through Replicate.
- 05
List models
Provides a list of available ML models including their descriptions and hardware requirements.
- 06
List predictions
Shows your recent prediction history, including status and output URLs.
- 07
Cancel prediction
Stops a running prediction by its ID.
- 08
Create prediction
Triggers a new model prediction using a model slug and an input object.
09-12
4 capabilities in this set.
Part of 12 available through Replicate.
- 09
Search models
Searches the Replicate library for models matching a specific query.
- 10
Get prediction
Checks the current status and retrieves the final output or logs for a specific prediction.
- 11
List collections
Lists the various model collections available on the platform.
- 12
List hardware
Shows available GPU hardware options along with their pricing and specs.
Real work
What teams actually run
Rapid Prototyping
Quickly test a new text-to-video model by sending a prompt directly from your coding environment.
Model Comparison
Ask your agent to find different LLMs and compare their run counts and hardware requirements.
Workflow Automation
Use your agent to trigger a sequence of model predictions and check their outputs.
Resource Management
Check your current Replicate usage and account details without leaving your workspace.
Automate a task
Put Replicate to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Replicate works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Replicate to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
927ms average. Fast in production.
Replicate is checked daily against the live service.
- Fastest day
- 716ms
- Slowest day
- 1109ms
- 14-day trend
- Stable-4%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 12 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Replicate, so you can see the experience inside your AI.
It does not authenticate your account with Replicate. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Replicate Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_M4yBN2KNxSS8lU5z0YgsZ7knjRqsTTpfrLzeO7vW/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Replicate capabilities are ready to use.
{
"mcpServers": {
"replicate-alternative-mcp": {
"url": "https://edge.vinkius.com/vk_preview_M4yBN2KNxSS8lU5z0YgsZ7knjRqsTTpfrLzeO7vW/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Replicate in Claude and other AIs
Who it's for
Built for the work Replicate owners hand off.
This MCP is built for technical users who need to bridge the gap between natural language and machine learning infrastructure.
- 01
Developers
They trigger image and text generation models through conversation instead of manual API calls.
- 02
ML Engineers
They use the agent to compare hardware requirements and monitor prediction history.
- 03
Researchers
They explore model collections and test version schemas before deployment.
FAQ
Questions Replicate owners ask.
- 01
How do I run a model with this MCP?
You simply tell your AI client to create a prediction, providing the model slug and the necessary input parameters.
- 02
Can I check if my model finished running?
Yes, you can ask your agent to check the status of a prediction using the prediction ID.
- 03
Do I need to use the Replicate website?
No, this MCP allows you to perform model discovery, prediction management, and account checks directly through your AI client.
- 04
Which AI clients are compatible?
This MCP works with any MCP-compatible client, including Claude, Cursor, and Windsurf.
- 05
How do I find the right GPU for a model?
You can ask your agent to list available hardware to see the specific SKU names, pricing, and specifications.
- 06
How do I get a Replicate API token?
Log in to the Replicate API Tokens page and click Create API Token. Copy the token immediately. it starts with r8_ and won't be shown again.
- 07
How do I run a model prediction?
Use create_prediction with the model slug (e.g. "stability-ai/sdxl") and an input JSON object matching the model's schema. The prediction starts as 'starting', then 'processing', and finally 'succeeded' with output URLs. Use get_prediction to check status and retrieve results.
- 08
How do I find models for specific tasks?
Use search_models with a query like 'text-to-image', 'llm', 'music-generation' or 'video-generation'. You can also use list_collections to browse curated collections by category, and get_collection to see featured models in each collection.
- 09
Can I cancel a running prediction?
Yes! Use cancel_prediction with the prediction ID. This works for predictions that are 'starting' or 'processing'. The status will change to 'canceled' and you won't be charged for the full compute time.
Explore
More in AI Frontier
Modelbit (ML Model Deployments) AI Connector
Deploy and call machine learning models directly from your AI agent using Modelbit's inference endpoints.
ViewReplicate AI Connector
Equip your AI to dynamically search, run, and monitor thousands of open-source machine learning models hosted
ViewLeonardo.ai (Generative AI & Models) AI Connector
Generate high-fidelity images via Leonardo.ai — orchestrate generations, audit AI models, and manage visual as
ViewCivo (Cloud-native Kubernetes Cloud Provider API) AI Connector
Manage Civo cloud infrastructure — provision Kubernetes clusters, control compute instances, and monitor usage
View
Suggestions
Replicate AI Connector
Automate machine learning workflows via Replicate — run models, manage predictions, and search for AI assets d
ViewHugging Face AI Connector
Access thousands of pre-trained AI models for NLP, vision, and audio tasks with the largest open-source machin
ViewHugging Face AI Connector
Access thousands of pre-trained AI models for NLP, vision, and audio tasks with the largest open-source machin
ViewClarifai (Vision AI) AI Connector
Manage AI inference via Clarifai — list apps, models, and workflows, and perform computer vision predictions d
View
Connect Replicate to Claude, Cursor, ChatGPT & more
