Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Open MCP server for US electricity tariffs: real rate lookup, bill estimates, and when to charge.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"ratebook": {
"command": "uvx",
"args": [
"ratebook-mcp"
]
}
}
}Run this in your terminal
claude mcp add ratebook -- uvx ratebook-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ratebook": {
"command": "uvx",
"args": [
"ratebook-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ratebook": {
"type": "stdio",
"command": "uvx",
"args": [
"ratebook-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account cbetz, which owns the repo
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Cape Winelands Visit Planner
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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The open rate engine for the electrified home — an openly licensed database of US electricity tariffs, an open-source rate-calculation engine, and an MCP server, so any app, device, or agent can answer "what will this kWh cost me, and when should I charge?"
↑ The real engine running in the browser. Try it yourself: demo/demo.html.
Status: pre-release. What works today: a deterministic rate engine (Python + a TypeScript
port held to it byte-for-byte), cross-validated against NREL's PySAM and shown to reproduce a
real bill's total once its components are supplied; an LLM pipeline that extracts tariff
structure from utility PDFs; an MCP server; and a Home Assistant integration. What's still in progress: broad utility coverage, freshness automation,
and a reproducible public accuracy scorecard. See
docs/ROADMAP.md.
The engine has no I/O and no required data download — price a tariff in a few lines:
git clone https://github.com/cbetz/ratebook && cd ratebook
uv sync uv run python quickstart.py # or paste the snippet below into uv run python
from datetime import date
from decimal import Decimal from ratebook import ( Tariff, TariffIdentity, Sector, EnergyRateStructure, EnergyPeriod, EnergyTier, Schedule, FixedCharge, FixedChargeUnit, Usage, BillingWindow, estimate_bill, )
no_tou = tuple(tuple(0 for _ in range(24)) for _ in range(12)) # 12 months × 24 hours, one period tariff = Tariff( energy=EnergyRateStructure(periods=(EnergyPeriod(tiers=(EnergyTier(rate=Decimal("0.10276")),)),)), schedule=Schedule(weekday=no_tou, weekend=no_tou), identity=TariffIdentity(plan_code="R", plan_name="Example flat residential", sector=Sector.RESIDENTIAL), fixed_charges=(FixedCharge(Decimal("11.30"), FixedChargeUnit.PER_MONTH),), )
bill = estimate_bill(tariff, Usage.aggregate(1244), BillingWindow(date(2026, 4, 28), 30)) print(f"ok={bill.ok} total=${bill.total}") # ok=True total=$139.13344 → 1244 kWh × $0.10276 + $11.30
Real tariffs round-trip through JSON via Tariff.from_json(...). To work with corpus data, load the URDB seed set (uv run ratebook-data urdb) or run the MCP server (uv run ratebook-mcp) and ask an agent lookup_tariff / estimate_bill / compare_plans / best_charge_window.
Python 3.12+, uv workspace with these packages: packages/ratebook (rate engine), packages/ratebook-data (data plant), packages/ratebook-mcp (MCP server), packages/ratebook-ts (the TypeScript engine port — pnpm + vitest, held to the Python engine via shared JSON test vectors), and packages/ratebook-homeassistant (a Home Assistant custom integration: electricity-price + cheapest-charge-window sensors).
uv sync # install all workspace packages + dev tools
uv run pytest # Python tests uv run ruff check . # lint uv run ratebook-data urdb # download URDB bulk CSV → data/raw/, load into data/ratebook.duckdb uv run ratebook-mcp # run the MCP server (stdio)
pnpm -C packages/ratebook-ts install && pnpm -C packages/ratebook-ts test # TS engine + vectors
The PySAM cross-validation runs in CI against committed tariff fixtures (uv sync --group validation installs the oracle). The MCP tool tests additionally need the built corpus and run locally (uv run ratebook-data urdb); they skip otherwise. The two engines must never diverge: both reproduce packages/ratebook/tests/vectors/v0_bills.json byte-for-byte. Regenerate it with uv run python packages/ratebook/tests/generate_vectors.py.
See CONTRIBUTING.md — the highest-value contribution is a tariff correction (report a wrong or stale rate with its source PDF).
Code is licensed under Apache-2.0. Published datasets are dedicated to the public domain under CC0-1.0. The seed corpus derives from the U.S. Utility Rate Database (CC0).