INDIVIDUAL MCP TOOL
generate_listing
Generate a high-conversion Amazon listing - title + bullets + description (async; 1 credit per marketplace).
LIVE ENDPOINT
https://listinggood.com/mcp
Connect to this endpoint to inspect the live schema for generate_listing and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
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.listinggood]
url = "https://listinggood.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"listinggood": {
"type": "http",
"url": "https://listinggood.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: listinggood
Remote MCP URL: https://listinggood.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": {
"listinggood": {
"url": "https://listinggood.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"listinggood": {
"type": "http",
"url": "https://listinggood.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "listinggood",
"transport": "streamable-http",
"url": "https://listinggood.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
ai_readiness_check— Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing.agent_ready_check— Score whether a product listing is Agent-Ready for AI shopping agents (ACP/UCP era).compliance_check— Quick pre-publish compliance gate before generating a listing.compliance_scan— Deep knowledge-base compliance audit (async; 2 credits).generate_poa— Draft a submission-ready Plan of Action (POA) from an Amazon violation notice (async; 4 credits).analyze_review— Analyze a negative Amazon review for root cause and a suggested response (async; 2 credits).fill_from_sentence— Expand a one-sentence product description into structured listing fields (free; API key; no credits).