Borrowing it
Nothing to install: this file belongs to jiweiqi/heatpump-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jiweiqi/heatpump-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/jiweiqi/heatpump-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/jiweiqi/heatpump-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/jiweiqi/heatpump-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/jiweiqi/heatpump-mcp-server/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/jiweiqi/heatpump-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/jiweiqi/heatpump-mcp-server/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01547 | $0.01547 |
| Opus 5 | $0.00773 | $0.00773 |
| Sonnet 5 | $0.00309 | $0.00309 |
| Haiku 4.5 | $0.00155 | $0.00155 |
Grade A, and why
heatpump-mcp-server CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
HeatPump MCP Server is a Model Context Protocol (MCP) server for residential heat pump sizing, cost estimation, and cold-climate performance verification. It exposes heat pump calculation tools to AI assistants like Claude Desktop, Claude Code, Cursor, and other MCP clients.
Key Feature: Works out-of-the-box with bundled data - no API keys required.
Development Commands
Package Management
# Install package in editable mode with dev dependencies
uv pip install -e ".[dev]"
# Install from source
uv pip install -e .
Running the Server
# Run server directly
python -m heatpump_mcp_server.server
# Or use the installed entry point
heatpump-mcp-server
# Using uvx (recommended for end users)
uvx --from . heatpump-mcp-server
Code Quality
# Lint code
ruff check .
# Format code
ruff format .
Testing
# Run tests (if test suite exists)
pytest
# Run tests with coverage
pytest --cov=heatpump_mcp_server
Architecture
Built on FastMCP for easy MCP server development.
Core Components
server.py: Main MCP server that registers tools, resources, and promptstools.py: MCP tool definitions (the calculators exposed to AI assistants)resources.py: MCP resources for data access (design temps, heat pump models, climate zones)prompts.py: Guided prompts for common workflowsconfig.py: Configuration via pydantic-settings (loads from .env or environment)
Service Layer Architecture
The project follows a service-based architecture where business logic is separated into domain-specific services:
services/quick_sizer_service.py: Single-zone BTU sizing with climate-zone-specific coefficientsservices/multi_zone_service.py: Floor-by-floor load calculationsservices/bill_estimator_service.py: Energy cost comparison and payback analysisservices/cold_climate_service.py: Heat pump capacity verification at design temperatureservices/electricity_rate_service.py: Electricity rate lookups (EIA API or bundled state averages)services/heat_pump_models_service.py: Heat pump model database accessservices/design_temp_service.py: Climate data and design temperature lookupsservices/capacity_curve_service.py: Heat pump capacity derating calculations
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 193 lines · 1,547 tokens per session scan A c3d7c9c4c86c
heatpump-mcp-server CLAUDE.md is an instructions file published in the GitHub repository jiweiqi/heatpump-mcp-server (3 stars, last pushed 10mo ago), licensed MIT. It adds 1,547 tokens to every session, about $0.0077 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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