kardashev-mcp
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@kardashev-mcpWhat's the current RT-DA spread forecast for ERCOT?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
kardashev-mcp
MCP server for Kardashev Labs US grid data. Gives agents live LMP, carbon intensity, load, curtailment, interconnection queues, ERCOT large loads, and the public RT−DA spread forecast track record. No API key required.
Data comes from the public API at data.kardashevlabs.org.
Install
npx -y kardashev-mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"kardashev": {
"command": "npx",
"args": ["-y", "kardashev-mcp"]
}
}
}Claude Code
claude mcp add kardashev -- npx -y kardashev-mcpRelated MCP server: GridPulse Energy
Tools
Tool | What it returns |
| Covered ISOs/RTOs and live ingest status |
| Generation by fuel type (MW) |
| Carbon intensity (lbs CO₂/MWh) |
| Locational marginal prices (RT/DA) |
| Actual grid load (MW) |
| Near-term load forecast |
| Solar/wind curtailment |
| Interconnection queue projects |
| ERCOT large-load interconnection snapshot |
| Live ERCOT RT−DA spread forecast (issued before delivery) |
| Scored public track record for the spread models |
Row-returning tools default to limit=50 (hard max 500) so agents stay within context budgets.
Optional env
Variable | Default | Purpose |
|
| Override API base (local data plane) |
|
| Per-request timeout |
Develop
npm install
npm run build
npm start # stdio
npm run inspect # MCP InspectorLinks
Website: kardashevlabs.org
Forecast track record: kardashevlabs.org/forecast
API docs: data.kardashevlabs.org/docs
Python client:
kardashevJS/TS client:
kardashev
License
MIT
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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