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paragon-mls典范 MLS

Agent Skill

paragon-mls 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,749

周安装

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GitHub Stars

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下载量

1,665
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:paragon-mls(典范 MLS)
来源仓库:https://github.com/earlvanze/paragon-mls
安装命令:
openclaw skills install paragon-mls
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install paragon-mls

简介

用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于从 Paragon MLS API 获取房地产列表并执行四平方租赁房产分析。
  • 通过 clawhub 安装,结合来源仓库和原始 README 核验具体用法,支持房地产数据查询和分析。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 当前主要用于研究检索类任务,需配合具体房源数据进行深入分析。

SKILL.md

name
paragon-mls
description
Fetch real estate listings from Paragon MLS (paragonrels.com / fnimls.com) APIs and perform four-square rental property analysis. Use when: (1) looking up MLS property details by MLS number or listing ID, (2) analyzing rental properties for cash flow and cash-on-cash return, (3) comparing multiple investment properties, (4) extracting structured data from Paragon MLS listings. Supports any Paragon-backed MLS region (globalmls, imls, hudson, gamls, triangle, etc.).
metadata
openclaw
requires
bins
mcp
paragon-mls
command
node
args

Paragon MLS

Fetch real estate listings from Paragon MLS APIs and analyze rental investment properties.

Quick Start

  1. Build and configure the MCP server once:
cd paragon-mls-mcp && npm install && npm run build
  1. Add to mcporter config (or your MCP client config):
mcporter config add paragon-mls --command "node /home/umbrel/.openclaw/workspace/deal-analyst/paragon-mls-mcp/dist/index.js" --transport stdio
  1. Use the tools:
# Fetch all listings from a shared MLS link
mcporter call paragon-mls.fetch_listings mlsId="6d70b762-36a4-4ac0-bedd-d0dae2920867" systemId="globalmls"

# Fetch a single property by MLS number
mcporter call paragon-mls.fetch_property mlsNumber="201918514" systemId="globalmls"

# Analyze a deal with the spreadsheet-compatible Four-Square model
mcporter call paragon-mls.analyze_deal mlsNumbers="201918514" systemId="globalmls" holdingPeriodYears:5 downPaymentPct:0.25

# Analyze multiple properties with custom assumptions
mcporter call paragon-mls.analyze_deal mlsNumbers="201918514,202012345" systemId="globalmls" downPaymentPct:0.25 interestRate:0.065 monthlyInsurance:250 repairBudget:10000 landValue:35000

# Compare velocity banking strategies for a deal
mcporter call paragon-mls.vb_calc debtBalance:350000 interestRate:0.05 loanTermYears:30 monthlyIncome:8000 monthlyExpenses:4878.875681 extraPayment:1000

# Get raw JSON data
mcporter call paragon-mls.raw_listings mlsNumbers="201918514" systemId="globalmls"

Tools

fetch_listings

Fetch all property listings from a Paragon MLS listing GUID. Returns parsed property data for all active listings.

  • mlsId (required): Paragon MLS listing GUID from the URL
  • systemId (default: globalmls): MLS region ID (subdomain of paragonrels.com)

fetch_property

Fetch a single property by its MLS number. Returns structured property data.

  • mlsNumber (required): MLS number for the property
  • systemId (default: globalmls): MLS region ID
  • mlsId (optional): Listing GUID for link generation

analyze_deal

Perform a spreadsheet-compatible Four-Square analysis on one or more properties. Returns the major columns from the Google Sheet, including NOI, DSCR, principal paydown, appreciation, depreciation, ROI, ROE, and IRR.

Key inputs:

  • mlsNumbers (required): Comma-separated MLS numbers
  • systemId (default: globalmls): MLS region ID
  • holdingPeriodYears (default: 5)
  • offerPricePct (default: 1)
  • downPaymentPct (default: 0.20)
  • interestRate (default: 0.07)
  • loanTermYears (default: 30)
  • vacancyRate / repairsPct / capexPct / mgmtPct for recurring expense assumptions
  • closingCosts / repairBudget / reservePrepaid / privateMoneyLender / landValue for capital stack and tax assumptions
  • monthlyPropertyTaxes / monthlySchoolTaxes / monthlyInsurance / monthlyWater / monthlySewer / monthlyGarbage / monthlyElectric / monthlyGas / monthlyHoa / monthlyLawnSnow / monthlyLegalAccounting for direct spreadsheet column overrides
  • unitRent1..unitRent7 / laundryIncome / storageIncome / miscIncome for income overrides

vb_calc

Compare amortized debt, extra payments, chunking/basic acceleration, and advanced velocity banking.

  • debtBalance (required)
  • interestRate (required)
  • loanTermYears (default: 30)
  • extraPayment (default: 0)
  • monthlyIncome (required)
  • monthlyExpenses (required)
  • helocRate (default: 0.2399)
  • advancedRate (default: 0.08)
  • helocLimit (default: 20000)
  • chunkMonths (default: 6)

raw_listings

Fetch raw JSON data from the Paragon API for custom analysis. Returns unprocessed listing data.

  • mlsNumbers (required): Comma-separated MLS numbers
  • systemId (default: globalmls): MLS region ID

System IDs

Common Paragon MLS system IDs (the subdomain before .paragonrels.com):

RegionSystem ID
Eastern NY / Southern Adirondackglobalmls
InterMountain (Idaho)imls
SW Coloradocren
Hudson County, NJhudson
Georgiagamls
Triangle Region, NCtriangle

Check your local MLS website URL to find the correct system ID.

How It Works

The server calls Paragon's public CollabLink API endpoints:

  1. CreateGuid — generates a session GUID for API calls
  2. GetNotificationAppData — resolves a listing GUID into MLS numbers
  3. GetListingDetails — fetches property data for each MLS number

Property data is parsed from Paragon's nested JSON structure, handling both the "new" format (section-based DetailOptions) and "old" format (array-based).

Limitations

  • Paragon's API is public but unofficial; it may change without notice
  • Each MLS region may format listing data differently; the parser handles common formats but edge cases may require custom handling
  • No authentication is required for public listing data
  • The API returns data over HTTP (not HTTPS) for some regions
  • Rate limiting may apply; the server processes listings sequentially with no intentional delay

适合场景

01

研究助手

02

事实核查

03

知识库问答

04

带来源的搜索总结

能力概览

能力 1

组合搜索和大模型调用

能力 2

支持多来源检索和总结

能力 3

强调引用来源和事实核查

能力 4

适合研究型 Agent 流程

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.83%
按下载量换算1,629

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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