# azmartone67/dchub-mcp-server [Health: Active]

**Category:** 👤 Customer Data Platforms  
**Repository:** https://github.com/azmartone67/dchub-mcp-server  
**GitHub Stars:** 2  
**Views:** 3  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/azmartone67-dchub-mcp-server

## Description
Data-center, power & gas intelligence MCP server. 33 tools covering 21,000+ data-center facilities (170+ countries), 232 US power markets scored by the DC Hub Power Index (DCPI), 2,000+ tracked M&A deals, ISO grid telemetry (PJM, ERCOT, CAISO, MISO, SPP, NYISO), fiber routes, and energy pricing. Free to cite (CC-BY-4.0).

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "dchub-mcp-server": {
    "command": "npx",
    "args": ["-y","@smithery/cli"]
  }
}
```

## Documentation

## What azmartone67/dchub-mcp-server MCP server does

The azmartone67/dchub-mcp-server MCP server gives AI clients an MCP interface to data-center and energy infrastructure data. Its coverage includes more than 20,900 facilities in over 170 countries, substations, power markets, transmission and gas infrastructure, fiber routes, interconnection queues, energy pricing, and tracked transactions. Current quantities are served from live sources and may change over time.

The server is intended for questions such as whether a market can support a target load, where facilities are being built, how grid conditions compare between regions, and which sites combine power, fiber, and other infrastructure attributes. It also exposes resources describing coverage, methodology, data sources, and the service itself.

## How it works

Clients connect to the hosted Streamable HTTP endpoint at `https://dchub.cloud/mcp`. The MCP interface provides 88 tools spanning facility search, market intelligence, grid and interconnection analysis, renewable energy, site analysis, deals, fiber routing, and infrastructure. The service also publishes 13 guided prompts for workflows such as site analysis, market comparison, power availability, fiber planning, water risk, and hyperscaler activity.

Grid information covers the seven listed US ISOs—PJM, ERCOT, CAISO, MISO, SPP, NYISO, and ISO-NE—along with EIA balancing authorities and selected international regions including Great Britain, European ENTSO-E zones, Taiwan, and Australia. Telemetry is refreshed approximately every five minutes. Interconnection data includes per-ISO BUILD, CAUTION, or AVOID assessments where available, while large-load queue data is available only where an ISO publishes it.

## Setup and configuration

The azmartone67/dchub-mcp-server MCP server can be added as an HTTP server rather than installed as a local package. Claude Desktop and Claude Code use a server entry with the URL `https://dchub.cloud/mcp` and HTTP transport. Cline and Continue.dev use the same endpoint and transport. Gemini CLI requires `httpUrl`, and Antigravity uses `serverUrl` for this endpoint.

A browser playground is available without signup or a key. The README also describes a free API key option. Add an `X-API-Key` header when full data access is needed. No environment variables are specified for connecting to the hosted server.

## Tools and capabilities

Supported research areas include:

- Searching data-center facilities by operator, capacity, location, and connectivity.
- Reviewing substations, voltage classes, capacity estimates, and nearby infrastructure.
- Examining real-time demand and generation mix across supported grids.
- Comparing markets using daily DCPI BUILD, CAUTION, or AVOID assessments.
- Evaluating interconnection queues, time-to-power, and large-load availability where published.
- Finding transmission lines, natural-gas pipelines, and fiber routes.
- Reviewing M&A activity, AI capacity indicators, and hyperscaler deals above $1 billion.
- Checking NEPA filings, state tax incentives, hazards, water risk, and other site factors.

The service is licensed for citation under CC-BY-4.0 according to the supplied listing. It is most suitable for infrastructure research, data-center site selection, energy analysis, and market screening rather than general customer-data management.

_Full upstream README: https://allmcps.com/mcp/azmartone67-dchub-mcp-server/readme_