Install
$ agentstack add mcp-cbetz-ratebook ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Ratebook
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?"
[](LICENSE) [](LICENSE-DATA) [](https://www.python.org/) [](https://github.com/cbetz/ratebook/actions/workflows/ci.yml)
↑ The real engine running in the browser. Try it yourself: [demo/demo.html](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](docs/ROADMAP.md).
Quickstart
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,
)
# A flat residential tariff: $0.10276/kWh + $11.30/month (PECO Rate R distribution).
no_tou = tuple(tuple(0 for _ in range(24)) for _ in range(12)) # 12 months × 24 hours, one period
tariff = Tariff(
energy=EnergyRateStructure(periods=(EnergyPeriod(tiers=(EnergyTier(rate=Decimal("0.10276")),)),)),
schedule=Schedule(weekday=no_tou, weekend=no_tou),
identity=TariffIdentity(plan_code="R", plan_name="Example flat residential", sector=Sector.RESIDENTIAL),
fixed_charges=(FixedCharge(Decimal("11.30"), FixedChargeUnit.PER_MONTH),),
)
bill = estimate_bill(tariff, Usage.aggregate(1244), BillingWindow(date(2026, 4, 28), 30))
print(f"ok={bill.ok} total=${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.
Development
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](CONTRIBUTING.md) — the highest-value contribution is a tariff correction (report a wrong or stale rate with its source PDF).
License
Code is licensed under [Apache-2.0](LICENSE). Published datasets are dedicated to the public domain under [CC0-1.0](LICENSE-DATA). The seed corpus derives from the U.S. Utility Rate Database (CC0).
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: cbetz
- Source: cbetz/ratebook
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.