eCommerce
lokand.com
Manages Lokand restaurant profiles and menus for creation, lookup, and listing.
ENDPOINT 1
https://api.lokand.com/mcp
MCP server metadata
- Name
- lokand
- Version
- 1.0.0
Known tools 6
get_startedHow to use Lokand as an agent: the recipes for creating a restaurant for a customer, editing menus, and handing over ownership.
Inferred read-onlyget_menuFetch a single menu (categories + items with prices) of a public Lokand restaurant.
Inferred read-onlycreate_restaurantCreate a new Lokand restaurant on a customer's behalf — ONE call can produce a complete LIVE website when you pass `menu` (and optionally hours/theme).
Potential side effectsCONNECT 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.lokand]
url = "https://api.lokand.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"lokand": {
"type": "http",
"url": "https://api.lokand.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: lokand
Remote MCP URL: https://api.lokand.com/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": {
"lokand": {
"url": "https://api.lokand.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"lokand": {
"type": "http",
"url": "https://api.lokand.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "lokand",
"transport": "streamable-http",
"url": "https://api.lokand.com/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 lokand.com was fetched 2026-08-29T03:16:44.354Z.
lokand.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.