KongMing Growth MCP

Cross-border e-commerce growth data & analysis over MCP (Model Context Protocol).

Endpoint: https://mcp.kmingai.com/mcp · Transport: Streamable HTTP · Auth: Authorization: Bearer <key>

Live since 2026-09-26. Mainland-China direct: 5/5 reachable, 628ms avg.

What you get

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 — insufficient data is stated as insufficient.

Get an API key: app.kmingai.com → Settings → Developer → Create API Key.
Point any MCP client at the endpoint with your key as a Bearer header — see docs/quickstart.md for per-client guides (Doubao Work, Tencent WorkBuddy, generic EN).
Ask: "What are my customers complaining about in the last 30 days?"

Credits — same price as the KongMing workspace, no markup for external shells. Per-key usage caps. New accounts include trial credits.