INDIVIDUAL MCP TOOL
fill_from_sentence
Expand a one-sentence product description into structured listing fields (free; API key; no credits).
LIVE ENDPOINT
https://listinggood.com/mcp
Connect to this endpoint to inspect the live schema for fill_from_sentence and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- A tool name, description or schema mentions credentials.
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).generate_listing— Generate a high-conversion Amazon listing - title + bullets + description (async; 1 credit per marketplace).