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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "vocasa": {
      "type": "http",
      "url": "https://mcp.vocasa.ai/mcp"
    }
  }
}

claude mcp add --transport http vocasa https://mcp.vocasa.ai/mcp

[mcp_servers.vocasa]
url = "https://mcp.vocasa.ai/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "vocasa": {
      "type": "remote",
      "url": "https://mcp.vocasa.ai/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "vocasa": {
      "type": "http",
      "url": "https://mcp.vocasa.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=vocasa&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLnZvY2FzYS5haS9tY3AifQ%3D%3D"
}

{
  "servers": {
    "vocasa": {
      "type": "http",
      "url": "https://mcp.vocasa.ai/mcp"
    }
  }
}

{
  "mcpServers": {
    "vocasa": {
      "httpUrl": "https://mcp.vocasa.ai/mcp"
    }
  }
}

extensions:
  "vocasa":
    enabled: true
    name: "vocasa"
    type: streamable_http
    uri: "https://mcp.vocasa.ai/mcp"
    timeout: 300

Quality 89 / 100good

protocol88 · weight 25

pass
protocol.modernsupports 2026-07-28 (server/discover)
pass
protocol.statelessanswers without a session
pass
protocol.transportstreamable HTTP
warn
protocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every use

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene86 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations2 of 2 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: deal_score (idempotentHint); analyze_rental (idempotentHint)
pass
tools.token_costabout 872 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

2 tools, about 872 tokens to load them all · tool set 4265dcd9d124 · checked 2026-10-21 02:42 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 83 / 100

no-repository

provenance55

liveness100

freshness100

hygiene80

+dns-namespace +website +reachable +uptime-100% +updated-15d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.vocasa.ai/mcp` streamable-http	none	yes	100%	469 ms	2026-07-28	2026-10-21

Tools (2)

analyze_rentalread-only 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 insurance; they override our estimates. Returns an investment score, IRR over a 15-year hold, monthly cash flow, cap rate, cash-on-cash return and DSCR, with the source of every input shown. Estimates only, not an appraisal.

deal_scoreread-only 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 changed for anyone. Covered today: Cincinnati. For any other property, use analyze_rental. Not an appraisal.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "ai.vocasa/vocasa",
  "icons": [
    {
      "src": "https://mcp.vocasa.ai/icon-48.png",
      "sizes": [
        "48x48"
      ],
      "mimeType": "image/png"
    },
    {
      "src": "https://mcp.vocasa.ai/icon-192.png",
      "sizes": [
        "192x192"
      ],
      "mimeType": "image/png"
    },
    {
      "src": "https://mcp.vocasa.ai/icon-512.png",
      "sizes": [
        "512x512"
      ],
      "mimeType": "image/png"
    }
  ],
  "title": "Vocasa",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.vocasa.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "websiteUrl": "https://vocasa.ai",
  "description": "Rental property analysis your AI can call"
}