Server data from the Official MCP Registry
US grid data for agents: LMP, carbon, load, queues, ERCOT large loads, RT−DA spread forecasts.
About
US grid data for agents: LMP, carbon, load, queues, ERCOT large loads, RT−DA spread forecasts.
Security Report
Valid MCP server (4 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
6 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: KARDASHEV_BASE_URL
Environment variable: KARDASHEV_TIMEOUT_MS
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-kardashev-lab-kardashev-mcp": {
"args": [
"-y",
"kardashev-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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-mcp
Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"kardashev": {
"command": "npx",
"args": ["-y", "kardashev-mcp"]
}
}
}
Claude Code
claude mcp add kardashev -- npx -y kardashev-mcp
Tools
| Tool | What it returns |
|---|---|
list_isos | Covered ISOs/RTOs and live ingest status |
get_fuel_mix | Generation by fuel type (MW) |
get_carbon | Carbon intensity (lbs CO₂/MWh) |
get_lmp | Locational marginal prices (RT/DA) |
get_load | Actual grid load (MW) |
get_load_forecast | Near-term load forecast |
get_curtailment | Solar/wind curtailment |
get_queue | Interconnection queue projects |
get_large_load | ERCOT large-load interconnection snapshot |
get_spread_forecast | Live ERCOT RT−DA spread forecast (issued before delivery) |
get_forecast_track_record | 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 |
|---|---|---|
KARDASHEV_BASE_URL | https://data.kardashevlabs.org | Override API base (local data plane) |
KARDASHEV_TIMEOUT_MS | 30000 | Per-request timeout |
Develop
npm install
npm run build
npm start # stdio
npm run inspect # MCP Inspector
Links
- Website: kardashevlabs.org
- Forecast track record: kardashevlabs.org/forecast
- API docs: data.kardashevlabs.org/docs
- Python client:
kardashev - JS/TS client:
kardashev
License
MIT
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
FinAgent
Freeby mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.