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Vinkius

Vast.ai (GPU Rental Cloud API) Connector for AI agents.

4 live capabilities

Rent high-performance GPUs and manage your cloud compute fleet from your workspace.

Live agent request Vast.ai (GPU Rental Cloud API) / Connector

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Why people use Vast.ai (GPU Rental Cloud API)

Vast.ai (GPU Rental Cloud API) for Faster GPU Provisioning

This Connector changes that by moving the marketplace into your workspace. You just tell your agent what hardware you're looking for, and it handles the filtering. Once you pick an offer, it rents the instance and gives you the connection details instantly. You get your compute time started without the tab-switching.

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

What Vinkius changes

You get to manage your cloud GPU fleet through natural language instead of manual web forms.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Training a large model

    An AI researcher asks the agent to find an H100 and rent it with 100GB of disk to start a training run.

  2. Real-world use case 02

    Batch processing

    A data scientist lists all active instances to check which ones are finished and deletes the old ones to save costs.

  3. Real-world use case 03

    Quick testing

    A dev rents a cheap RTX 4090 to test a Docker container for an hour then terminates it immediately.

Complete set · 4capabilities

The complete Vast.ai (GPU Rental Cloud API) capability set.

These are the exact actions your AI can choose when you ask it to work with Vast.ai (GPU Rental Cloud API).

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through Vast.ai (GPU Rental Cloud API).

  1. 01 Capability

    Delete instance

    Delete or terminate a rented instance on Vast.ai. This is the fastest way to stop billing once your training task finishes.

  2. 02 Capability

    List instances

    List your active rented instances on Vast.ai. Use this to check your current fleet status and connection details.

  3. 03 Capability

    Rent instance

    Rent a specific GPU instance on Vast.ai. Use this to launch a new node with your preferred Docker image and disk size.

  4. 04 Capability

    Search offers

    Search for available GPUs on Vast.ai using JSON queries. Use this to find the best price for specific hardware like H100s.

Set up in minutes

One URL. Then ask Vast.ai (GPU Rental Cloud API) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Vast.ai (GPU Rental Cloud 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_FDhKvj0GzXpDt4zTlC7GXQudBJQAnkTGnbdwdCBo/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 Vast.ai (GPU Rental Cloud API), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Vast.ai (GPU Rental Cloud API) for the conversation.

Where the request belongs

Work Vast.ai can move forward.

Built around the request

This is for the AI researcher who needs to scale training overnight or the data scientist who's tired of hunting for affordable A100s in a crowded marketplace.

01

AI Researcher

Spins up nodes for fine-tuning models during a project without leaving the chat.

02

Data Scientist

Manages heavy data processing tasks directly from the IDE to keep focus on the data.

03

DevOps Engineer

Automates the lifecycle of GPU-accelerated containers and monitors cloud spend.

Build the capability set

Add more capabilities.

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

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01 7 capabilities

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Manage AI infrastructure via Lambda Labs. launch GPU instances, monitor ML workloads, and manage SSH keys.

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02 6 capabilities

Paperspace

Provision and track powerful GPU workloads via Paperspace. list compute instances, fetch active deployments, trace team projects, and query Gradient environments via AI.

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03 24 capabilities

CoreWeave (AI GPU Cloud)

Manage high-performance AI infrastructure on CoreWeave. provision GPU clusters, configure VPCs, and orchestrate inference gateways directly from your AI agent.

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04 7 capabilities

RunPod

Integrate your AI securely to RunPod to cleanly quickly provision scalable GPU pods, manage active instances, and inspect serverless endpoints and custom templates natively.

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05 8 capabilities

NVIDIA NIM

MLOps proxy unifying explicitly local hardware limits extracting telemetry across active NVIDIA AI containers.

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Modal (Serverless AI Infrastructure) logo
06 7 capabilities

Modal (Serverless AI Infrastructure)

Manage serverless compute via Modal. audit active apps, track GPU deployments, and monitor network volumes.

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Bring your own AI

Change the model, client or framework. Keep Vast.ai connected.

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Before you connect

Questions about Vast.ai.

The practical details behind the request, access and result.

Can I use the Vast.ai MCP to find specific GPUs like H100s?

Yes, you can ask your agent to search for specific hardware. It will filter the marketplace for you and present the best available options based on your requirements.

How do I rent a GPU with a specific Docker image using this Connector?

Just tell your agent which offer ID you want to use along with the Docker image name. It will handle the deployment for you automatically.

Will this Connector help me save money on cloud compute?

It helps you avoid unnecessary costs by making it easy to list active instances and terminate them the moment your work is finished.

Can I manage multiple GPU instances at once with the Vast.ai MCP?

Yes, you can view your entire fleet of active rented instances in one list, making it much easier to track multiple tasks at once.

Does the Vast.ai MCP work with my existing API key?

Yes, you just need to provide your Vast.ai API key in the Connector configuration to get started.

Can I delete instances automatically to stop being charged?

You can tell your agent to delete or terminate any instance. This ensures you aren't billed for compute time after your task is complete.

How can I find a specific GPU model like an RTX 4090?

Use the search_offers capability with a query like {"gpu_name": {"eq": "RTX 4090"}}. The agent will return a list of available offers matching that hardware.

What information do I need to rent a new GPU instance?

You need an offer_id (from search results) and a Docker image name (e.g., 'pytorch/pytorch'). You can also optionally specify the disk size in GB using the rent_instance capability.

How do I stop an instance to avoid further charges?

Simply use the delete_instance capability with the specific instance_id. This will terminate the instance and release the GPU back to the marketplace.

One connection away

Give your agent a direct line to Vast.ai.

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

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