Borrowing it
Nothing to install: this file belongs to nitzpo/nadlan-mcp. 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/nitzpo/nadlan-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/nitzpo/nadlan-mcpWrote 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/nitzpo/nadlan-mcp/claude-md)<a href="https://agentmods.dev/instructions/nitzpo/nadlan-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/nitzpo/nadlan-mcp/claude-md.svg" alt="Measured on agentmods" 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 | $0.05842 | $0.05842 |
| Opus 5 | $0.02921 | $0.02921 |
| Sonnet 5 | $0.01168 | $0.01168 |
| Haiku 4.5 | $0.00584 | $0.00584 |
Grade A, and why
nadlan-mcp 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 8d 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 — 558 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
Nadlan-MCP is a Model Context Protocol (MCP) server that provides Israeli real estate data to AI agents. It interfaces with the Israeli government's Govmap API to retrieve property deals, market trends, and real estate information.
Current Version: v2.0.0 (Pydantic models + outlier detection) Key Technology: FastMCP server exposing 10 tools for querying Israeli real estate data
Product Vision & Use Cases
See USECASES.md for the complete feature roadmap and user-facing capabilities.
Current Capabilities (✅ Implemented - All 10 MCP Tools)
- Address & Location Services - Address autocomplete, location-based deal search
- Real Estate Deal Analysis - Recent deals, street/neighborhood analysis, enhanced filtering
- Market Intelligence - Trend analysis, price per sqm tracking, market activity metrics
- Comparative Analysis - Multi-address comparison, investment insights
- Valuation Data - Comparable properties, deal statistics, filtered deal sets
- Enhanced Filtering - Property type, rooms, price range, area, floor (all deal functions)
Recent Completions (✅)
- Phase 5: Expanded test coverage (84% coverage, 314 tests)
- Outlier Detection System: IQR + percentage-based filtering for data quality
- CI/CD: GitHub Actions for code quality, testing, Claude Code integration
- HTTP Server: Cloud deployment support via
run_http_server.py
Future Features (📋 Planned)
- Amenity Scoring - Comprehensive quality-of-life analysis using:
- Google Places API / OpenStreetMap for amenity locations
- Ministry of Education data for school rankings
- Ministry of Health data for healthcare facility ratings
- CBS demographic data
- Public transport APIs
- Caching system (in-memory → Redis)
- Async/parallel processing
- Multi-language support
Important Design Principle: The MCP provides data; the LLM provides intelligence. Avoid implementing complex analysis or predictions in the MCP layer - that's the LLM's job.
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.
- 8d ago First seen · 558 lines · 5,842 tokens per session scan A 17c87ddef005
nadlan-mcp CLAUDE.md is an instructions file published in the GitHub repository nitzpo/nadlan-mcp (4 stars, last pushed 9mo ago), licensed MIT. It adds 5,842 tokens to every session, about $0.0292 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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