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dimetrics

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Metrics on HPC leases, power, debt, and political risk.

MCP ServerCloud & DevOpsRemote (streamable-http)
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Updated 2026-06-16

What is the dimetrics MCP server?

Dimetrics aggregates economic and operational indicators for HPC infrastructure. It tracks lease costs, electricity usage patterns, financing linkages, and jurisdiction-specific risks relevant to cryptocurrency miners and emerging cloud operators.

Users query aggregated datasets covering power markets, debt instruments tied to hardware, and regulatory exposure across regions. The service supports analysis without exposing raw proprietary feeds or requiring local installation.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "dimetrics": {
      "url": "https://www.dimetrics.ai/api/mcp"
    }
  }
}

Example prompts

Once connected, try asking your AI client:

Summarize current HPC lease rates for 100kW+ deployments in North America
Show debt-to-power ratios for major neocloud operators last quarter
List political risk factors affecting datacenter builds in Texas and Alberta
Compare electricity cost trends for miners versus traditional cloud providers

Security & permissions

Streamable-http transport requires remote network access; no local filesystem or API keys are documented.

What you can do with dimetrics

Lease cost modeling

Compare multi-year HPC lease terms against projected power prices and hardware depreciation.

Debt exposure review

Map financing structures linked to datacenter capacity for miners and neoclouds.

Political risk scoring

Assess regulatory and geopolitical factors by region for infrastructure investments.

How to use dimetrics

  1. 1Add the dimetrics server via its streamable-http endpoint in your MCP client.
  2. 2Confirm connection status in the client interface.
  3. 3Issue natural-language queries about HPC economics or datacenter metrics.
  4. 4Review returned data summaries for lease, power, or risk analysis.
  5. 5Iterate prompts to refine specific regional or operator comparisons.

dimetrics: pros & cons

Pros

  • +Specialized focus on HPC and neocloud financial metrics
  • +Remote access without local deployment
  • +Covers power, debt, and political risk dimensions together
  • +Concise responses suited to economic analysis workflows

Cons

  • No documented tools or parameter details available
  • Limited to high-level aggregates rather than raw datasets
  • Dependent on upstream data freshness for time-sensitive queries
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Frequently asked questions

It aggregates public and industry reports on leases, power markets, and regulatory filings.

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