Lotlytics — US Real Estate Market Data & Investment Analytics MCP Server

by lotlytics Your server? Claim it

answering

Lotlytics — US Real Estate Market Data & Investment Analytics is answering right now. Last checked 8 min ago. It exposes 5 tools. Last commit 29 Mar 2026.

US real estate market data for AI agents: prices, yields, forecasts and scores for 894 markets.

Uptime history 30 days of history · worst day 99%

30 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

360 ms

Response time

average over 24h

Stars

last commit 29 Mar 2026

What changed 32

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 31 August 2026. No other catalogue keeps this.

10 Sep a tool description was rewritten get_market_summary

4 Sep 5 tool descriptions were rewritten compare_markets, get_market_health, get_market_summary and 2 more

4 Sep 4 tools changed the parameters they ask for get_market_health, get_market_summary, list_markets and 1 more

3 Sep 5 tool descriptions were rewritten compare_markets, get_market_health, get_market_summary and 2 more

3 Sep 5 tools changed the parameters they ask for compare_markets, get_market_health, get_market_summary and 2 more

2 Sep 5 tool descriptions were rewritten compare_markets, get_market_health, get_market_summary and 2 more

2 Sep 5 tools changed the parameters they ask for compare_markets, get_market_health, get_market_summary and 2 more

31 Aug 2 tool descriptions were rewritten compare_markets, search_markets

Nothing serious here today

Today is the operative word: we check Lotlytics — US Real Estate Market Data & Investment Analytics every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add lotlytics-mcp --transport http https://lotlytics-mcp-production.up.railway.app/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "lotlytics-mcp": {
      "url": "https://lotlytics-mcp-production.up.railway.app/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.lotlytics-mcp]
url = "https://lotlytics-mcp-production.up.railway.app/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "lotlytics-mcp": {
      "url": "https://lotlytics-mcp-production.up.railway.app/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "lotlytics-mcp": {
      "url": "https://lotlytics-mcp-production.up.railway.app/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

market

get_market_health

Investment health score (1-10) for a US market, with a label (Strong Buy / Favorable / Neutral / Caution / Avoid) and the signals behind it. Example: city='Tampa', state='FL'

get_market_summary

Full market report for one US city or metro. Example: city='Austin', state='TX' returns Austin's median price, appreciation, rental yield, momentum and migration.

markets

list_markets

List the US markets this server can report on, optionally filtered to one state. Example: state='TX'

search_markets

Rank US markets by investment criteria; no filters returns the top-ranked markets nationally. Requires API key (Investor plan) — https://www.lotlytics.us/pricing ; key at https://www.lotlytics.us/settings/api-keys Example: state='TX', max_price=300000, min_rental_yield=6

compare

compare_markets

Compare two US markets side by side, with a winner marked on price, yield and appreciation. Requires API key (Investor plan) — https://www.lotlytics.us/pricing ; key at https://www.lotlytics.us/settings/api-keys Example: city_a='Austin', state_a='TX', city_b='Nashville', state_b='TN'

Endpoints

URL	Transport	State	Latency	Checked
https://lotlytics-mcp-production.up.railway.app/mcp	streamable-http	answering	335 ms	8 min ago

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Lotlytics — US Real Estate Market Data & Investment Analytics — questions

Answers built from our own checks of this server.

What can Lotlytics — US Real Estate Market Data & Investment Analytics do?

It exposes 5 tools, read directly from the server on our last check. Among them: compare_markets, get_market_health, get_market_summary, list_markets, search_markets. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is Lotlytics — US Real Estate Market Data & Investment Analytics mostly used for?

Its tools cluster around market and markets. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is Lotlytics — US Real Estate Market Data & Investment Analytics working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 360 ms. The bar chart above shows every period we have measured.

How do I connect Lotlytics — US Real Estate Market Data & Investment Analytics?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Lotlytics — US Real Estate Market Data & Investment Analytics need an API key?

No. Lotlytics — US Real Estate Market Data & Investment Analytics completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Lotlytics — US Real Estate Market Data & Investment Analytics?

It answers our handshake in 360 ms on average, which is faster than 46% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Lotlytics — US Real Estate Market Data & Investment Analytics open source?

Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.