eCommerce
flordelisfloricultura.com.br
Retrieves store information and product listings from an e-commerce catalog.
ENDPOINT 1
https://flordelisfloricultura.com.br/mcp
MCP server metadata
- Name
- cestadeamor-public-catalog
- Version
- 1.0.0
Use these read-only tools for public store and product discovery. Confirm final price, stock, delivery and payment in the canonical storefront with human approval.
Known tools 3
get_storeRetrieve the official public identity, service area, contact channels and canonical resource URLs for this store.
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.cestadeamor-public-catalog]
url = "https://flordelisfloricultura.com.br/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"cestadeamor-public-catalog": {
"type": "http",
"url": "https://flordelisfloricultura.com.br/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: cestadeamor-public-catalog
Remote MCP URL: https://flordelisfloricultura.com.br/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": {
"cestadeamor-public-catalog": {
"url": "https://flordelisfloricultura.com.br/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"cestadeamor-public-catalog": {
"type": "http",
"url": "https://flordelisfloricultura.com.br/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "cestadeamor-public-catalog",
"transport": "streamable-http",
"url": "https://flordelisfloricultura.com.br/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.