RE Data Refinery MCP Server
Turns messy real estate data into clean, scored, AI-ready property intelligence for Columbus, OH metro, with pay-per-query via x402 micropayments. Enables natural-language search, investment scoring, and enrichment tools for MCP clients.
README
RE Data Refinery MCP Server
A Model Context Protocol (MCP) server that turns messy real estate data into clean, scored, AI-ready property intelligence for Columbus, OH and surrounding metro cities.
Unlike generic property APIs, the RE Data Refinery combines live Zillow data with county-level enrichment (GIS, tax delinquency, sheriff sales, permits, probate records) and computes proprietary investment scores for every listing. Agents pay only for the queries they run — no subscriptions, no API tiers — via the x402 micropayment protocol on Base mainnet.
- Live data source: ZillAPI
- Coverage: 150+ properties seeded across 14 Columbus metro cities
- Payment: USDC on Base, $0.35 per paid lookup
- Transport: stdio / SSE for Claude Desktop, Claude Code, ChatGPT Desktop, Hermes, and other MCP clients
What makes it different
| Feature | RE Data Refinery | BatchData / USDV Capital |
|---|---|---|
| Pricing | Pay per query via x402 (no subscription) | Free tiers or monthly subscriptions |
| Scoring | Flip, wholesale, rental yield, market heat | Usually absent or generic |
| Enrichment | County GIS, tax delinquency, sheriff sales, permits, probate | Typically surface-level listing data |
| On-chain settlement | USDC on Base via Permit2 + CDP facilitator | Not applicable |
Tools (10)
| Tool | Description | Price |
|---|---|---|
refinery_health |
API health, cached property count, rate limit status | Free |
refinery_credits |
Upstream ZillAPI credit balance | Free |
refinery_properties |
List scored properties by city with optional price filters | $0.35 (live), free (cached) |
refinery_property_detail |
Full scored detail for a single property by ZPID | $0.35 |
refinery_property_price_history |
Price/transaction timeline for a property | $0.25 |
refinery_property_tax_history |
Tax and assessment history for a property | $0.25 |
refinery_property_schools |
School ratings near a property | $0.25 |
refinery_search |
Natural-language property search | $0.50 |
refinery_scored_search |
Search filtered/scored by investment criteria | $0.50 |
refinery_payment_status |
Show x402 configuration and active API base URL | Free |
Quick start
1. Install dependencies
pip install "x402>=2.20.0" eth-account httpx
2. Clone the repository
git clone https://github.com/areshms/re-refinery-mcp.git
cd re-refinery-mcp
3. Configure your environment
Create a .env file in the project root:
# Required for paid Worker lookups
EVM_PRIVATE_KEY=0x...
# Optional
X402_SPEND_CAP=$1 # max per-payment USD cap (default: $1)
REFINERY_BASE_URL=https://re-data-refinery.ares-hms.workers.dev
REFINERY_LOCAL_URL=http://localhost:5004
Your wallet must hold USDC on Base to pay for lookups.
4. Add to your MCP client
Claude Desktop / Claude Code:
{
"mcpServers": {
"re_refinery_mcp": {
"command": "python3",
"args": ["/path/to/re-refinery-mcp/re_refinery_mcp.py"],
"env": {
"EVM_PRIVATE_KEY": "${EVM_PRIVATE_KEY}",
"X402_SPEND_CAP": "$1"
}
}
}
}
Local development mode
To develop or test without spending USDC, disable x402 and point at a free local API:
export REFINERY_ENABLE_X402=false
export REFINERY_LOCAL_URL=http://localhost:5004
python3 re_refinery_mcp.py --transport stdio
Paid endpoints then call localhost:5004 instead of the Worker.
How payments work
- Your agent requests a paid endpoint.
- The Worker responds with HTTP 402 Payment Required and an x402 payment requirement.
- The MCP client signs a Permit2 USDC transaction on Base.
- The CDP facilitator verifies the signature and settles the payment on-chain.
- The Worker returns the requested data.
All of this is handled automatically once EVM_PRIVATE_KEY is configured.
Scoring methodology
Every property is enriched with:
- flip_score (0–100): discount vs. Zestimate, days on market, neighborhood median, age, lot size
- wholesale_score (0–100): equity spread, tax delinquency, DOM, owner-occupancy, price vs. Zestimate
- rental_yield_pct: annual rent estimate ÷ price
- market_heat: Hot / Warm / Cool based on days on market and recent price trend
Scores are recomputed against neighborhood medians drawn from the live-refinery cache.
Requirements
- Python 3.11+
x402>=2.20.0eth-accounthttpx- A wallet with USDC on Base mainnet
Worker
The Cloudflare Worker backing this server is deployed at:
https://re-data-refinery.ares-hms.workers.dev
It is the first real estate data refinery using Cloudflare's x402 monetization gateway.
License
MIT
Built by Hightower Marketing — making real estate data work for AI agents.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。