MCP server intelligence profile

Hyperbolic GPU MCP Server

Enables interaction with Hyperbolic's GPU cloud, allowing users to view available GPUs, rent instances, establish SSH connections, and run GPU-powered workloads through natural language commands

Local OnlyOfficial distributionHyperbolicLabs
Verified cleanSource Git · d2962d3cfde579ed826564432764d2365d74d3d1

Our scanner tested version d2962d3cfde579ed826564432764d2365d74d3d1 without proving a finding in the methods exercised. This is not a guarantee that every deployment is secure.

1Distribution channel
9Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence

Install and connect

Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.

No verified installation or connection method is available in the retained evidence yet.

Identity

Canonical slughyperbolic-gpu-mcp-server-42023b84DeploymentLocal Only
Canonical packageRepositoryHyperbolicLabs/hyperbolic-mcp
First publishedLatest release
Last security verificationAug 25, 2026Classification confidence35%
PublicationPublishedOfficial distributionYes

Distributions

ChannelIdentifierCurrent versionVersionsSource
source_githyperboliclabs/hyperbolic-mcpd2962d3cfde579ed826564432764d2365d74d3d11Repository

Current release

PackageVersionPublished / observedInventorySecurity scan
source_githyperboliclabs/hyperbolic-mcpd2962d3cfde579ed826564432764d2365d74d3d1CurrentAug 25, 20269 toolsSucceeded · 0 resources · 0 promptsVerified clean
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Current version evidence

Provenanceimmutable_git_commitSignature
MCP SDKArtifact SHA-25694afa0ee6969b8a6b1d8e98f6fc87b0fb9797faa93592233fc2a1f344dffb7d3
Scannermcp-proof-engine 0.1.0Scan completedAug 25, 2026
Security ratingMethodology
0Proven
403Clean
0Inconclusive
0Flaky
0Errors

Current protocol inventory

2024-11-05Negotiated protocol
hyperbolic-gpu-serverServer-reported name
1Capability groups
Aug 25, 2026Observed

Tools 9

ToolCategoryAnnotationsRisk
get-cluster-details
Input schema
{
  "type": "object",
  "properties": {
    "cluster_name": {
      "type": "string",
      "description": "The name of the cluster to get details for"
    }
  },
  "required": [
    "cluster_name"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
list-available-gpus
Input schema
{
  "type": "object",
  "properties": {
    "filters": {
      "type": "object",
      "properties": {},
      "additionalProperties": true,
      "description": "Optional filters for GPU listing"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
list-user-instances
Input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
remote-shell
Input schema
{
  "type": "object",
  "properties": {
    "command": {
      "type": "string",
      "description": "Command to execute on the remote server"
    }
  },
  "required": [
    "command"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
rent-gpu-instance
Input schema
{
  "type": "object",
  "properties": {
    "cluster_name": {
      "type": "string",
      "description": "The name of the cluster to rent (e.g., extrasmall-chamomile-duck)"
    },
    "node_name": {
      "type": "string",
      "description": "The name of the node (e.g., prd-acl-msi-02.fen.intra)"
    },
    "gpu_count": {
      "type": "integer",
      "minimum": 1,
      "description": "Number of GPUs to rent"
    }
  },
  "required": [
    "cluster_name",
    "node_name",
    "gpu_count"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
ssh-connect
Input schema
{
  "type": "object",
  "properties": {
    "host": {
      "type": "string",
      "description": "Hostname or IP address of the remote server. Always query the list-user-instances tool to get the host."
    },
    "username": {
      "type": "string",
      "description": "SSH username for authentication"
    },
    "password": {
      "type": "string",
      "description": "SSH password for authentication (optional if using key)"
    },
    "private_key_path": {
      "type": "string",
      "description": "Path to private key file (optional, uses SSH_PRIVATE_KEY_PATH from environment if not provided)"
    },
    "port": {
      "type": "integer",
      "minimum": 1,
      "maximum": 65535,
      "default": 22,
      "description": "SSH port number (default: 22)"
    }
  },
  "required": [
    "host",
    "username"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
ssh-disconnect
Input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
ssh-status
Input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
terminate-gpu-instance
Input schema
{
  "type": "object",
  "properties": {
    "instance_id": {
      "type": "string",
      "description": "The ID of the instance to terminate"
    }
  },
  "required": [
    "instance_id"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Resources 0

  • None observed.

Resource templates 0

  • None observed.

Prompts 0

  • None observed.

Remote endpoints

EndpointTransportAuthenticationHealthObserved
No verified remote endpoint is linked.

Hyperbolic GPU MCP Server questions

How do I install Hyperbolic GPU MCP Server?

No verified package installation command is available in the retained catalog evidence.

What tools does Hyperbolic GPU MCP Server provide?

Hyperbolic GPU MCP Server exposed 9 tools during independent protocol observation, including get-cluster-details, list-available-gpus, list-user-instances, remote-shell, rent-gpu-instance, ssh-connect, ssh-disconnect, ssh-status, and others.

Is Hyperbolic GPU MCP Server secure?

Our scanner tested version d2962d3cfde579ed826564432764d2365d74d3d1 without proving a finding in the methods exercised. This is not a guarantee that every deployment is secure.

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