General Tools
karve.sa
Retrieves real-time class schedules and studio information for KARVE fitness classes.
ENDPOINT 1
https://karve.sa/api/mcp
Known tools 4
next_availableSoonest upcoming KARVE classes that still have an open spot, optionally matching an English query (e.g.
Inferred read-onlyclass_detailFull detail for one KARVE class by its idSchedule (from search_classes' JSON): description, trainer, studio, live availability, and a booking link.
Inferred read-onlystudio_infoAuthoritative KARVE facts — pricing & passes, first-timer info, policies (women-only, grip socks, cancellation, age), hours, location and contact.
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.karve-sa]
url = "https://karve.sa/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"karve-sa": {
"type": "http",
"url": "https://karve.sa/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: karve-sa
Remote MCP URL: https://karve.sa/api/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": {
"karve-sa": {
"url": "https://karve.sa/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"karve-sa": {
"type": "http",
"url": "https://karve.sa/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "karve-sa",
"transport": "streamable-http",
"url": "https://karve.sa/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for karve.sa was fetched 2026-08-23T20:12:20.189Z and is being refreshed.
karve.sa is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.