# MCP Energy Hub

> Use this tool when you need to optimize AI compute scheduling based on real-time US power grid intelligence and carbon intensity data. It solves problems related to reducing carbon footprint and energy costs by providing insights into energy generation, renewable energy availability, and grid load forecasts. The MCP Energy Hub takes in real-time grid data and outputs optimized workload schedules, enabling users to make informed decisions about compute resource allocation.

Canonical page: https://skillsregistry.net/skills/karthikravva-mcp-energy-hub  
JSON: https://api.skillsregistry.net/v1/skills/karthikravva-mcp-energy-hub

## Description

Provides real-time US power grid intelligence and carbon intensity data to enable carbon-aware AI compute scheduling across major grid regions. It allows users to monitor energy generation and optimize workloads based on renewable energy availability and grid load forecasts.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bvx2k9sqe0)
- **Repository:** <https://github.com/karthikravva/MCP-Energy-Hub>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "karthikravva-mcp-energy-hub"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/karthikravva-mcp-energy-hub` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/karthikravva-mcp-energy-hub/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt