Vocasa
mcp remote · streamable-http · v1.0.0 · source: crawl
https://mcp.vocasa.ai/mcp
Rental property analysis your AI can call
Works
100
Verified Oct 31, 2026 · p50 273 ms · p95 294 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'vocasa' |
| tools_listed | 15 | pass | 2 tools |
| schema_complete | 15 | pass | 2 of 2 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 273 ms |
| latency_p95 | 5 | pass | p95 294 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (2)
| Name | Description | Schema |
|---|---|---|
analyze_rental | Analyze a US residential property as a rental investment. Give an address or the key facts (price, beds, baths, square feet, ZIP). Add any numbers the user knows, such as their expected rent, tax or i | typed |
deal_score | Look up NestCalc's independent Deal Score for a for-sale listing, or list the current top deals (WINs) in a covered city. Scores are published for every listing, including low ones, and are never chan | typed |
Badge
Paste into your README. It updates on every verification.
[](https://app.agent-xm.com/a/ai-vocasa-vocasa)
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