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

Publishernovitalabs
Repositorynovita-mcp-server
LanguageJavaScript
Forks
9
Stars
11
Available tools
0
Transport typestdio
Categories
LicenseMIT
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  • Connect tools to AI workflows

    Novita AI GPU Cloud exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    11 stars and 9 forks from the linked repository.

Novita MCP Server

smithery badge

novita-mcp-server is a Model Context Protocol (MCP) server that provides seamless interaction with Novita AI platform resources. We recommend accessing this server through Claude Desktop, Cursor, or any other compatible MCP client.

Features

⚠️ Beta Notice: novita-mcp-server is currently in beta and only supports GPU instance management. Additional resource types will be supported in future releases.

Currently, novita-mcp-server enables management the resources of GPU instances product.

Supported operations are as follows:

  • 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;

Installation

You can install the package using npm, or Smithery:

Using npm

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

Using Smithery

Visit the https://smithery.ai/server/@novitalabs/novita-mcp-server and follow the "Install" instructions to install the server.

Configuration to use novita-mcp-server

First, you need to get your Novita API key from the Novita AI Key Management.

And next, you can use the following configuration for both Claude Desktop and Cursor:

📌 Tips

For Claude Desktop, you can refer to the Claude Desktop MCP Quickstart guide to learn how to configure the MCP server.

For Cursor, you can refer to the Cursor MCP Quickstart guide to learn how to configure the MCP server.

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

Examples

Here are some examples of how to use the novita-mcp-server to manage your resources with Claude Desktop or Cursor:

List clusters

txt
List all the Novita clusters

List products

txt
List all available Novita GPU instance products

List GPU instances

txt
List all my running Novita GPU instances

Create a new GPU instance

txt
Create a new Novita GPU instance:

Name: test-novita-mcp-server-01
Product: any available product
GPU Number: 1
Image: A standard public PyTorch/CUDA image
Container Disk: 60GB

Testing

This project uses Jest for testing. The tests are located in the src/tests directory.

You can run the tests using one of the following commands:

bash
npm test

Installation

TypingMind
Prerequisites:

Node.js 18+

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

Use Novita AI GPU Cloud MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Novita AI GPU Cloud is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Novita AI GPU Cloud as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Novita AI GPU Cloud MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "novita-ai-gpu-cloud": {
      "command": "npx",
      "args": [
        "-y",
        "@novitalabs/novita-mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Novita AI GPU Cloud MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Novita AI GPU Cloud MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Novita AI GPU Cloud to help me with this task?
Novita AI GPU Cloud
Sure. I read it.
Here is what I found using Novita AI GPU Cloud.

Frequently asked questions

What is the Novita AI GPU Cloud MCP server used for?

Novita AI GPU Cloud is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Novita AI GPU Cloud MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Novita AI GPU Cloud with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Novita AI GPU Cloud MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Novita AI GPU Cloud connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Novita AI GPU Cloud MCP to TypingMind?

Novita AI GPU Cloud runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Novita AI GPU Cloud MCP provide in TypingMind?

Novita AI GPU Cloud exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Novita AI GPU Cloud MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Novita AI GPU Cloud requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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