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  3. Dimetrics
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Health: ActiveRecent health check succeeded.Last checked 10/7/2026, 9:17:28 PM

Dimetrics

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
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mcpdatacentersneocloudminingpolitical-risk

Covers HPC lease economics, datacenter power, debt linkage, and political risk for miners and neoclouds.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dimetrics": {
      "url": "https://www.dimetrics.ai/docs/mcp"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The dimetrics MCP server provides MCP access to information on HPC lease economics, datacenter power, debt linkage, and political risk. Its stated audience is organizations operating in or evaluating mining and neocloud markets. The available material does not specify individual tools, transport methods, setup steps, or data sources. Reach for it when an agent needs coverage of these infrastructure, financing, and risk topics.

Use cases

•Evaluate HPC lease economics for mining or neocloud operations
•Assess datacenter power considerations
•Relate infrastructure activity to debt
•Review political risk affecting miners and neoclouds

Key features

•HPC lease economics coverage
•Datacenter power analysis
•Debt linkage analysis
•Political risk coverage
•Focus on miners and neoclouds

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Dimetrics.

Extracted Tool Capabilities
HPC lease economics coverage
Datacenter power analysis
Debt linkage analysis
Political risk coverage
Focus on miners and neoclouds

How Dimetrics works

What dimetrics MCP server does

The dimetrics MCP server is described as covering four related areas: HPC lease economics, datacenter power, debt linkage, and political risk. Its stated focus is miners and neoclouds, so it is relevant to research or analysis involving those types of businesses and their infrastructure or financing conditions.

The available listing does not identify specific endpoints, tool names, return formats, or underlying data providers. As a result, the supported scope can be described at the subject-area level, but not as a detailed tool reference. Developers should verify the live documentation before designing an agent workflow around a particular query or operation.

Potential applications include examining the economics of high-performance computing leases, considering power requirements or constraints at datacenters, relating infrastructure activity to debt, and assessing political risk affecting miners or neoclouds. The source material does not establish whether these activities are performed through search, structured calculations, reports, or another interface.

How it works

The service is presented as an MCP server and is documented at the Dimetrics MCP documentation URL. MCP compatibility indicates that an AI client may be able to use the service through the protocol, but the available material does not state whether the server uses standard input/output, streamable HTTP, or another transport.

No request examples, response examples, authentication flow, or client-specific instructions are provided in the supplied material. There is also no information about whether the server reads user-provided data, queries a hosted dataset, or combines both. Those details matter when evaluating latency, privacy, deployment, and operational requirements.

Limitations and notes

The supplied listing is not enough to confirm named tools, supported operations, required environment variables, licensing, authentication, installation commands, or supported clients. It also does not define geographic coverage, update frequency, calculation methodology, or the meaning of “political risk” in the service’s output.

Before adoption, review the current Dimetrics documentation for the exact tool schema and deployment instructions. Confirm that the server’s coverage matches the required mining or neocloud use case, especially if the workflow depends on current power, lease, debt, or political-risk information. Treat the dimetrics MCP server’s listed subject areas as scope indicators rather than a complete description of available functionality.

The dimetrics MCP server may fit an agent that needs domain-specific context in these areas, but the provided material does not support claims about automated decisions, financial advice, forecasting accuracy, or real-time data. A developer should validate those properties directly with the service documentation and any available examples.

Read the full README →

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Reviews

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Frequently Asked Questions about Dimetrics

dimetrics is an MCP server that connects AI clients to coverage of HPC lease economics, datacenter power, debt linkage, and political risk for miners and neoclouds. The available material does not name individual tools, data sources, installation commands, transport methods, environment variables, or supported MCP clients.

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Technical Specs & Signals

Category💻Developer Tools
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TransportSSE (Remote)
Last updatedOct 6, 2026
5/5 checks healthy over the last 64d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
42Quality signal: Fair · 42/100How this signal is calculated ▾
Server availability25/25
Verified ownership0/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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