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asadoslabrocha.com

An MCP server that provides restaurant contact details, address, phone, WhatsApp, maps link, website, and opening hours.

1 endpoint2 known toolsFirst detected September 14, 2026Last detected September 14, 2026

ENDPOINT 1

https://asadoslabrocha.com/mcp

No auth detected

MCP server metadata

Name
asados-la-brocha
Version
0.2.6
Capabilities
tools

Known tools 2

get_restaurant_info

Get Asados La Brocha contact details: address in León, phone, WhatsApp, maps link, and website.

Inferred read-only
get_hours

Get opening hours.

Inferred read-only

CONNECT 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.asados-la-brocha]
url = "https://asadoslabrocha.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "asados-la-brocha": {
      "type": "http",
      "url": "https://asadoslabrocha.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: asados-la-brocha
Remote MCP URL: https://asadoslabrocha.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": {
    "asados-la-brocha": {
      "url": "https://asadoslabrocha.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "asados-la-brocha": {
      "type": "http",
      "url": "https://asadoslabrocha.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "asados-la-brocha",
  "transport": "streamable-http",
  "url": "https://asadoslabrocha.com/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.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.