MCP server
TerraVue Official
app.terravue/terravue
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Analyze any US home: buy vs rent Monte Carlo, affordability, and ZIP-level appreciation data.
Working at last checkVerified publisher: terravue.appAbout 4,023 tokens per request once connected6 tools
https://api.terravue.app/mcp
At a glance
- Type
- MCP server
- Publisher
- terravue.app (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 4,023 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http terravue https://api.terravue.app/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.terravue] url = "https://api.terravue.app/mcp"
Gemini CLI
{"mcpServers":{"terravue":{"httpUrl":"https://api.terravue.app/mcp"}}}
Cursor
{"mcpServers":{"terravue":{"url":"https://api.terravue.app/mcp"}}}
VS Code
{"servers":{"terravue":{"type":"http","url":"https://api.terravue.app/mcp"}}}
Antigravity
agy mcp add terravue https://api.terravue.app/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"terravue","server_url":"https://api.terravue.app/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"terravue","server_url":"https://api.terravue.app/mcp"}
Tools
affordability~1041 tokens
Can this buyer afford this home? Returns the monthly PITI payment, front-end and back-end debt-to-income ratios (what a lender qualifies on), the income needed at a 28% front-end ratio, estimated after-tax money left over each month, the cash cushion left after closing, and a plain Comfoaffordable_price~998 tokens
What's the most this buyer can afford? The reverse of `affordability` — 'what price can I afford?' instead of 'can I afford this specific home?'. Solves for the maximum home price under standard lender limits: a front-end DTI cap (default 28% = housing / gross income) and a back-end capanalyze_address~365 tokens
Look up a US address (or bare 5-digit ZIP): ZIP-level home-price appreciation forecast (FHFA data back to 1975), estimated market rent, and neighborhood signals (schools, walkability, water quality, grocery/dining/outdoors proximity). For a full street address this also returns sub-ZIPbuy_vs_rentMoves money · ~967 tokens
Should someone buy this home or keep renting? Runs the TerraVue engine: a deterministic 30-year simulation plus a 500-scenario Monte Carlo over correlated market paths. Returns the probability buying wins, the breakeven hold period, and net-worth outcomes. monthly_rent = what the pecompare_areas~354 tokens
Analyze and RANK 2-12 ZIPs or addresses side by side on the signals TerraVue has: home-price appreciation forecast (and how each compares to the national average), school rating, walkability, education level, and water quality. Returns the correct city name per ZIP, so locations are neverequest_capability~298 tokens
Record a question TerraVue could not answer, so it can be built. Call this whenever a user asks for something outside the current tools' coverage (rental metrics, Airbnb modeling, valuations, move-vs-stay, non-US, anything else), then tell the user their request was captured. Keep `descr
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