Scalogy Real Estate Deals MCP Server
Enables AI agents to find vetted, daily-scored US residential real-estate investment deals with pay-per-request via USDC on Base.
README
Scalogy Real Estate Deals — MCP server
An MCP server that gives your AI agent vetted, daily-scored US residential real-estate investment deals — flip, BRRRR, and buy-&-hold — each graded STRONG/MODERATE/FAIR with an estimated ARV from a live comp set, gross spread, margin %, cap rate/cash flow, days-on-market and the source listing URL.
Every call is paid per request in USDC on Base via x402 — typically a few cents — using your own wallet. No signup, no API key, no subscription. Coverage: FL, GA, NC, SC, AL, MS (expanding).
Docs & live API: https://pages.scalogy.com/chris/x402/
How it works
The server wraps the find_graded_deals x402 endpoint. On each tool call it makes an HTTP request;
the server answers 402 Payment Required with a price; this MCP server signs a USDC payment from
your configured wallet and retries; you get the deals back. Settlement is gasless for you — the
facilitator sponsors gas, so your wallet only needs USDC (no ETH).
Setup
- Fund a Base wallet with a few dollars of USDC on Base mainnet (no ETH needed). Export its private key. Use a dedicated low-balance wallet — this key is stored in your MCP client config.
- Add the server to your MCP client.
Claude Desktop — claude_desktop_config.json
{
"mcpServers": {
"scalogy-real-estate-deals": {
"command": "npx",
"args": ["-y", "scalogy-real-estate-deals-mcp"],
"env": { "EVM_PRIVATE_KEY": "0xYOUR_FUNDED_BASE_WALLET_KEY" }
}
}
}
Cursor / other MCP clients — mcp.json
{
"mcpServers": {
"scalogy-real-estate-deals": {
"command": "npx",
"args": ["-y", "scalogy-real-estate-deals-mcp"],
"env": { "EVM_PRIVATE_KEY": "0xYOUR_FUNDED_BASE_WALLET_KEY" }
}
}
}
Restart the client. Your agent now has a find_graded_deals tool.
Configuration
| Env var | Default | Notes |
|---|---|---|
EVM_PRIVATE_KEY |
— | Required to buy. A Base wallet funded with USDC. Without it the tool returns a setup message and spends nothing. |
RESOURCE_SERVER_URL |
https://x402-scalogy-production.up.railway.app |
The deal API. |
CLIENT_ID |
Scalogy public feed id | Which feed to query. |
X402_NETWORK |
eip155:8453 |
Base mainnet. |
Pricing
Quoted per call from what it returns, capped at $20/call: base $0.02 + $0.15/STRONG + $0.06/MODERATE + $0.02/FAIR. A query that returns nothing costs only the base fee.
Tool: find_graded_deals
Filters (all optional): strategy (flip/brrrr/buy_hold), min_grade (STRONG/MODERATE/FAIR),
state, zip, city, min_price, max_price, beds_min, baths_min, min_margin_pct,
min_gross_spread, min_arv, min_dom, max_dom, min_confidence, limit.
Returns JSON { count, deals[] } where each deal has address, beds/baths/sqft/year_built,
property_type, list_price, arv (+ p25/p75), gross_spread, gross_margin_pct, grade, dom, comp_count,
a human-readable reason, the source URL, and an ARV confidence score.
Run without npm publish
If the package isn't on npm yet, clone this folder and point your client at it:
{ "command": "node", "args": ["/absolute/path/to/x402-mcp/index.mjs"],
"env": { "EVM_PRIVATE_KEY": "0x..." } }
Data is informational, not investment advice. ARV is an automated comp-based estimate — verify before acting.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.