Compute Resources MCP Server

MCP server for ACCESS-CI compute resources including hardware specifications, capabilities, and configurations.

Usage Examples

Discovery & Search

"List all GPU resources"
"Resources at NCSA"
"Cloud computing systems"
"Delta hardware specifications"

Recommendations

"Recommend a resource for machine learning with GPUs"
"What system should I use for molecular dynamics?"
"Best resource for a beginner doing genomics analysis"

Tools

search_resources

Search and filter ACCESS-CI compute resources. Returns resource IDs usable by other ACCESS-CI services.

Parameters: | Parameter | Type | Description | |-----------|------|-------------| | id | string | Get specific resource (e.g., "delta.ncsa.access-ci.org") | | query | string | Search names, descriptions, organizations | | type | enum | Filter: compute, storage, cloud, gpu, cpu | | has_gpu | boolean | Filter for GPU resources | | organization | string | Filter by org: NCSA, PSC, Purdue, SDSC, TACC | | limit | number | Max results (default: 50) |

Examples:

// List all resources
search_resources({})

// Get specific resource
search_resources({ id: "expanse.sdsc.access-ci.org" })

// Find GPU resources at NCSA
search_resources({ has_gpu: true, organization: "NCSA" })

get_resource_hardware

Get detailed hardware specs (CPU, GPU, memory, storage) for a resource.

Parameters: | Parameter | Type | Description | |-----------|------|-------------| | id | string | Resource ID (required) |

Example:

get_resource_hardware({ id: "delta.ncsa.access-ci.org" })

Prompts

recommend_compute_resource

Get personalized resource recommendations based on research needs.

Arguments: | Argument | Required | Description | |----------|----------|-------------| | research_area | Yes | Field of research (e.g., "machine learning", "molecular dynamics") | | compute_needs | Yes | Requirements (e.g., "GPU for training transformers", "high memory for genome assembly") | | experience_level | No | HPC experience: beginner, intermediate, advanced | | allocation_size | No | Scale needed (e.g., "small pilot project", "large-scale production") |

Installation

npm install -g @access-mcp/compute-resources

Configuration

{
  "mcpServers": {
    "access-compute-resources": {
      "command": "npx",
      "args": ["@access-mcp/compute-resources"]
    }
  }
}

Resources

• accessci://compute-resources - All compute resources
• accessci://compute-resources/capabilities-matrix - Resource comparison matrix
• accessci://compute-resources/gpu-guide - GPU selection guide
• accessci://compute-resources/resource-types - Resource type taxonomy