https://github.com/novitalabs/novita-mcp-server
The Model Context Protocol (MCP) server that provides seamless interaction with Novita AI platform resources
https://github.com/novitalabs/novita-mcp-server
claude-desktop cursor mcp-server
Last synced: 9 days ago
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The Model Context Protocol (MCP) server that provides seamless interaction with Novita AI platform resources
- Host: GitHub
- URL: https://github.com/novitalabs/novita-mcp-server
- Owner: novitalabs
- License: mit
- Created: 2025-05-06T11:58:54.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-05-12T09:53:05.000Z (about 1 month ago)
- Last Synced: 2025-05-17T10:09:15.826Z (about 1 month ago)
- Topics: claude-desktop, cursor, mcp-server
- Language: JavaScript
- Homepage:
- Size: 64.5 KB
- Stars: 9
- Watchers: 1
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- mcp-index - Novita AI - Manage GPU instance resources with operations like listing clusters, creating and controlling GPU instances, and managing templates and network storage through Novita's interface. (Task and Project Management)
README
# Novita MCP Server
[](https://smithery.ai/server/@novitalabs/novita-mcp-server)
`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](https://claude.ai/download), [Cursor](https://www.cursor.com/), 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](https://novita.ai/gpus-console).
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](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](https://novita.ai/settings/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](https://modelcontextprotocol.io/quickstart/user) guide to learn how to configure the MCP server.
>
> For Cursor, you can refer to the [Cursor MCP Quickstart](https://docs.cursor.com/context/model-context-protocol) 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
```