Novita

The Model Context Protocol (MCP) server that provides seamless interaction with Novita AI platform resources
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6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "novitalabs-novita-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@novitalabs/novita-mcp-server"
      ],
      "env": {
        "NOVITA_API_KEY": "your_api_key_here"
      }
    }
  }
}

You can manage Novita AI GPU resources through a dedicated MCP server that connects your MCP client to the Novita platform. This server lets you list, create, start, stop, and manage GPU instances, templates, clusters, networks, and more from your MCP-enabled client. It’s designed to streamline resource control across your cloud regions and product offerings.

How to use

Use your MCP client (such as Claude Desktop or Cursor) to connect to the novita MCP server you configured. With this server, you can list available clusters, products, and GPU instances, and perform lifecycle actions on GPU instances (create, start, stop, restart, delete). You can also manage templates, container registry authentication entries, and network storage.

How to install

Prerequisites: ensure you have Node.js and npm installed on your system.

Install the MCP server using npm:

npm install -g @novitalabs/novita-mcp-server

Alternatively, install using Smithery by following the installation instructions for the novita-mcp-server on Smithery.

# Smithery command would be used here if you are following that path

Configure the MCP server in your client by providing your Novita API key. The configuration below demonstrates how to run the MCP server via npx and pass your API key as an environment variable.

{
  "mcpServers": {
    "novita_mcp": {
      "command": "npx",
      "args": ["-y", "@novitalabs/novita-mcp-server"],
      "env": {
        "NOVITA_API_KEY": "your_api_key_here"
      }
    }
  }
}

Additional notes and tips

Updated on beta: current release supports GPU instance management and related resources. Other resource types will be added in future releases.

Tools and capabilities

This MCP server exposes a set of operations across several resource types. Typical capabilities include the following functions to manage GPU resources and related infrastructure:

Common operations you can perform

  • Cluster/Region: List
  • Product: List
  • GPU Instance: List, Get, Create, Start, Stop, Delete, Restart
  • Template: List, Get, Create, Delete
  • Container Registry Auth: List, Create, Delete
  • Network Storage: List, Create, Update, Delete

Available tools

Cluster List

List all available clusters (regions) for your Novita resources.

Product List

List all available GPU instance products.

GPU Instance List

List all GPU instances under your account.

GPU Instance Get

Retrieve details for a specific GPU instance.

GPU Instance Create

Create a new GPU instance with specified name, product, GPU count, image, and disk size.

GPU Instance Start

Start a stopped GPU instance.

GPU Instance Stop

Stop a running GPU instance.

GPU Instance Delete

Delete a GPU instance.

GPU Instance Restart

Restart a GPU instance.

Template List

List available templates for GPU configurations.

Template Get

Get details of a specific template.

Template Create

Create a new resource template.

Template Delete

Delete a template.

Container Registry Auth List

List container registry authentication entries.

Container Registry Auth Create

Create a new container registry authentication entry.

Container Registry Auth Delete

Delete a container registry authentication entry.

Network Storage List

List network storage resources.

Network Storage Create

Create a new network storage resource.

Network Storage Update

Update an existing network storage resource.

Network Storage Delete

Delete a network storage resource.

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