Cross-border e-commerce growth tools: mentions, pain points, competitors, GEO audit, synthesis.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Cross-border e-commerce growth data & analysis over MCP (Model Context Protocol).
Endpoint: https://mcp.kmingai.com/mcp Β· Transport: Streamable HTTP Β· Auth: Authorization: Bearer <key>
Live since 2026-09-26. Mainland-China direct: 5/5 reachable, 628ms avg.
11 tools for DTC brands selling cross-border (Amazon / independent sites):
| Tool | Answers |
|---|---|
| query_mentions | Multi-channel customer mentions with sources & sample sizes |
| get_pain_points | Pain-point clustering, severity-ranked |
| get_sentiment_trend | Sentiment trend over time |
| query_competitor_mentions | Competitor mention queries |
| compare_competitors | Brand-vs-competitor comparison matrix |
| query_geo_visibility | AI-engine visibility per query (GEO) |
| get_geo_audit_snapshot | Self-contained AI-visibility audit snapshot |
| generate_strategic_synthesis | 7-layer strategic synthesis, evidence-backed |
| search_knowledge | Semantic search over your knowledge base |
| model_catalog_get | Model catalog (credits language) |
| media_estimate_price | Media pricing quote (coming soon) |
Every answer carries sources, sample sizes and time windows. Zero fabrication β insufficient data is stated as insufficient.
Credits β same price as the KongMing workspace, no markup for external shells. Per-key usage caps. New accounts include trial credits.
Β© KongMing AI β www.kmingai.com
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