
Novita
STDIOMCP server for managing Novita AI GPU instances and resources.
MCP server for managing Novita AI GPU instances and resources.
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.
⚠️ 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:
You can install the package using npm, or Smithery:
Using npm
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.
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.
{ "mcpServers": { "@novitalabs/novita-mcp-server": { "command": "npx", "args": ["-y", "@novitalabs/novita-mcp-server"], "env": { "NOVITA_API_KEY": "your_api_key_here" } } } }
Here are some examples of how to use the novita-mcp-server
to manage your resources with Claude Desktop or Cursor:
List all the Novita clusters
List all available Novita GPU instance products
List all my running Novita GPU instances
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
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:
npm test