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Glama
novitalabs

Novita MCP Server

Official
by novitalabs

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
NOVITA_API_KEYYesYour Novita API key from the Novita AI Key Management

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
list-clustersD
list-productsD
list-gpu-instancesD
get-gpu-instanceD
create-gpu-instanceD
start-gpu-instanceD
stop-gpu-instanceD
delete-gpu-instanceD
restart-gpu-instanceD
create-network-storageD
list-network-storageD
update-network-storageD
delete-network-storageD
list-container-registry-authsD
create-container-registry-authD
delete-container-registry-authD
list-templatesD
get-templateD
create-templateD
delete-templateD

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.1/5.0

Scored across 20 tools

Disambiguation5/5

Each tool has a clearly distinct purpose targeting specific resources and actions. The naming convention makes it easy to differentiate between operations on different resource types like GPU instances, templates, network storage, and container registry auths. There is no ambiguity about which tool to use for a given task.

Naming Consistency5/5

Tool names follow a perfectly consistent verb_noun pattern throughout, using snake_case uniformly. The pattern is clear: action_resource (e.g., create_gpu_instance, list_templates, delete_network_storage). This consistency makes the tool set highly predictable and easy to navigate.

Tool Count4/5

With 20 tools, the count is slightly high but reasonable for a cloud infrastructure server covering multiple resource types. It provides comprehensive operations for GPU instances, templates, network storage, and container registry auths, though it might feel a bit heavy compared to more focused servers.

Completeness4/5

The tool set offers good CRUD/lifecycle coverage for its domain, with create, delete, list, and specific operations like start/stop/restart for GPU instances. Minor gaps exist, such as missing update operations for GPU instances and templates, but agents can work around these with the available tools.

Maintenance

ActivityInactive
ResponsivenessNo issues