mcp-tw-lvr: Instructions file for Claude Code

CLAUDE.md

mcp-tw-lvr CLAUDE.md is an instructions file for Claude Code from asgard-ai-platform/mcp-tw-lvr. It costs 917 tokens per session, scanned A, original, MIT.

A set of project instructions for a FastMCP server that retrieves Taiwan real-estate transaction records from the government portal. It documents the Playwright scraper, data conversion, server commands, and tests.

In plain words
What is it for?
Use it when working on the Taiwan real-estate MCP server, its scraper, data adapter, Playwright browser setup, or tests.
Why use it?
It gives coding agents the project context and standard commands needed to install, run, test, and understand the repository.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is asgard-ai-platform/mcp-tw-lvr's own configuration. It tells Claude Code how to work on mcp-tw-lvr itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp-tw-lvr configures →

Reuse

Borrowing it

Nothing to install: this file belongs to asgard-ai-platform/mcp-tw-lvr. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/asgard-ai-platform/mcp-tw-lvr/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/asgard-ai-platform/mcp-tw-lvr

Made for: Claude Code.

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Per session 917 This file is loaded in full into every session.
When invoked 917 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00917 $0.00917
Opus 5 $0.00458 $0.00458
Sonnet 5 $0.00183 $0.00183
Haiku 4.5 $0.00092 $0.00092

Measured 11d ago against content hash fb7f42cb424e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

mcp-tw-lvr CLAUDE.md scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. Resolves city/town names to codes via the government's `/SERVICE/CITY` JSON API (wrapped in `asyncio.to_thread` so the sync `urllib` calls don't block the event loop)
CLAUDE.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 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

mcp-tw-lvr is a FastMCP server that exposes Taiwan's 實價登錄 (real estate transaction registry) as an MCP tool. It uses Playwright to automate the government's web portal (lvr.land.moi.gov.tw) and intercepts the QueryPrice API responses.

Commands

# Install dependencies
uv sync

# Install Playwright browser
uv run playwright install chromium

# Run the MCP server (used by MCP clients)
uv run mcp-tw-lvr

# Run the scraper standalone (writes results.json)
uv run python src/lvr/scrape.py

# Run all tests (pytest)
uv run pytest

# Run only the live e2e tests (slow ~45s each, hits real portal)
uv run pytest -m e2e -v

# Skip e2e for fast unit-only run
uv run pytest -m "not e2e"

Architecture

src/lvr/
├── scrape.py    # Playwright scraper — returns raw QueryPrice records
├── adapter.py   # Pure-function shape converter (raw → friendly keys)
└── server.py    # FastMCP wrapper — applies adapter by default
  • src/lvr/scrape.py — Core Playwright scraper. query_real_price() is the main async function. It:
    1. Resolves city/town names to codes via the government's /SERVICE/CITY JSON API (wrapped in asyncio.to_thread so the sync urllib calls don't block the event loop)
    2. Launches headless Chromium with a navigator.webdriver override to bypass bot detection
    3. Navigates to the portal, fills the search form by passing values to frame.evaluate(script, args) (no f-string interpolation into JS source)
    4. Submits and uses page.expect_response to wait for the actual SERVICE/QueryPrice response (30s timeout) instead of a fixed sleep — late/missing responses raise instead of being silently swallowed
    5. Returns the raw list of result dicts (single-letter keys like "a" = address, "tp" = total price, "p" = unit price). Also exports the QueryType = Literal[...] alias.

Read the full file on GitHub · 62 lines

Changes

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.

  1. 11d ago First seen · 62 lines · 917 tokens per session scan A fb7f42cb424e

Subscribe to this mod's changes

mcp-tw-lvr CLAUDE.md is an instructions file published in the GitHub repository asgard-ai-platform/mcp-tw-lvr (1 stars, last pushed 5mo ago), licensed MIT. It adds 917 tokens to every session, about $0.0046 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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