Data Collection
luxuryforless.cruises
Enables searching and describing the latest published cruise fare crawl, including crawl date, row count, and details like cruise line, source, ship, and rate values.
ENDPOINT 1
https://luxuryforless.cruises/mcp
MCP server metadata
- Name
- cruises.luxuryforless/premium-cruise-fares
- Version
- 1.0.0
Known tools 2
describe_ratesDescribe the latest published crawl: crawl date, row count, and the real line, source, ship, and rate values.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.cruises-luxuryforless-premium-cruise-fares]
url = "https://luxuryforless.cruises/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"cruises-luxuryforless-premium-cruise-fares": {
"type": "http",
"url": "https://luxuryforless.cruises/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: cruises-luxuryforless-premium-cruise-fares
Remote MCP URL: https://luxuryforless.cruises/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"cruises-luxuryforless-premium-cruise-fares": {
"url": "https://luxuryforless.cruises/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"cruises-luxuryforless-premium-cruise-fares": {
"type": "http",
"url": "https://luxuryforless.cruises/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "cruises-luxuryforless-premium-cruise-fares",
"transport": "streamable-http",
"url": "https://luxuryforless.cruises/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.