eCommerce

bicosdefio.com

This MCP server provides tools for searching fashion, footwear, and accessories products and subscribing to the Bicos de Fío newsletter, serving an e-commerce platform.

WebMCP1 endpoint2 known toolsFirst detected October 10, 2026Last detected October 10, 2026

ENDPOINT 1

https://www.bicosdefio.com

No auth detected

MCP server metadata

Name: WebMCP

Capabilities

declarative

Known tools 2

search_products

Busca productos, marcas y colecciones de moda, calzado y complementos en Bicos de Fío

Inferred read-only

newsletter_signup

Suscribe un correo electrónico a la newsletter de Bicos de Fío

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.webmcp]
url = "https://www.bicosdefio.com"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://www.bicosdefio.com"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://www.bicosdefio.com

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": {
    "webmcp": {
      "url": "https://www.bicosdefio.com"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://www.bicosdefio.com"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "webmcp",
  "transport": "streamable-http",
  "url": "https://www.bicosdefio.com"
}

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.