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eCommerce

1cookieco.com

Search and retrieve product information and pickup details for a cookie company.

1 endpoint3 known toolsFirst detected September 7, 2026Last detected September 7, 2026

ENDPOINT 1

https://1cookieco.com/mcp

No auth detected

MCP server metadata

Name
1-cookie-company
Version
1.0.0
Capabilities
tools

Known tools 3

search_products

Search the #1 Cookie Company menu.

Inferred read-only
get_product

Get one product by id or name.

Inferred read-only
get_pickup_info

Get pickup location, hours, fulfillment (pickup only), minimum order, and how to order.

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.1-cookie-company]
url = "https://1cookieco.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "1-cookie-company": {
      "type": "http",
      "url": "https://1cookieco.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: 1-cookie-company
Remote MCP URL: https://1cookieco.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": {
    "1-cookie-company": {
      "url": "https://1cookieco.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "1-cookie-company": {
      "type": "http",
      "url": "https://1cookieco.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "1-cookie-company",
  "transport": "streamable-http",
  "url": "https://1cookieco.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.