← kindly-ai.com

INDIVIDUAL MCP TOOL

get_product

Fetch the full record for a single product by its slug, including license terms, guarantee, what you get, who it is for, who it is NOT for, and the exact on-page price.

kindly-ai.comnone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • A tool name or description suggests retrieving external content.

Parent endpoint

kindly-ai.com

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.kindly-ai-marketing]
url = "https://kindly-ai.com/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "kindly-ai-marketing": {
      "type": "http",
      "url": "https://kindly-ai.com/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: kindly-ai-marketing
Remote MCP URL: https://kindly-ai.com/api/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": {
    "kindly-ai-marketing": {
      "url": "https://kindly-ai.com/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "kindly-ai-marketing": {
      "type": "http",
      "url": "https://kindly-ai.com/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "kindly-ai-marketing",
  "transport": "streamable-http",
  "url": "https://kindly-ai.com/api/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • search_catalog — Search Kindly AI Marketing products by keyword.
  • recommend_products — Describe a situation or goal and get up to 3 honest product recommendations, each with a plain reason it fits, scored against the catalog's own whoItIsFor / notFor / summary text.
  • get_store_policies — Return Kindly AI Marketing's verifiable policies: the honesty stance, the agentic posture (discovery on, in-chat checkout off), the license posture, and the per-product guarantee.
  • run_local_visibility_scan — Request the free local visibility scan for a URL.