MercadoLibre Sellers MCP
Related Servers
Alternatives to MercadoLibre Sellers MCP
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceEnables sellers to connect their MercadoLibre seller account to Claude Desktop and query sales, listings, questions, competition, and prices in natural language, with optional read-only or write operations.34MIT
- AlicenseAqualityCmaintenanceEnables sellers to connect their MercadoLibre accounts to Claude AI and query consolidated multi-store sales, real profitability, stock, listings, buyer questions, claims, Product Ads, and competitor prices in natural language.33MIT
- FlicenseNot gradedqualityDmaintenanceConnects Claude to your MercadoLibre seller account, enabling natural language management of listings, orders, and shipments.-
- AlicenseBqualityBmaintenanceEnables sellers to connect their MercadoLibre Colombia account to Claude and manage their store in natural language, including sales dashboards, buyer-question responses, listing audits, product image/video generation, and competitor monitoring.43MIT
- AlicenseBqualityDmaintenanceIntegrates with the Mercado Livre API to enable management of sales, shipments, and shipping labels directly through Claude.71MIT
- FlicenseAqualityCmaintenanceConnects Claude to your Amazon Seller Central account via the Selling Partner API, enabling queries for recent orders, sales summaries, FBA inventory, and financial events.4-
TDQS
Scored across 32 tools
Most tools have clearly distinct purposes, especially around publications, orders, promotions, ads, clips, and competition tracking. Some analytical tools (ml_panel_ventas, ml_metricas, ml_rentabilidad, ml_publicidad) and market-research tools (ml_buscar, ml_descubrir_ganadores, ml_tendencias) have adjacent scopes, but the descriptions generally distinguish them well.
All tools use a consistent ml_ prefix and lower snake_case, which is easy to scan. The main deviation is that read tools are mostly noun-only (ml_ordenes, ml_publicaciones) while mutating tools use verb_noun (ml_actualizar_publicacion, ml_responder_pregunta), but this pattern is still fairly predictable.
With 32 tools, the server is well beyond the ideal 3-15 range and exceeds the 25+ threshold for being heavy. The domain is broad, so not every tool is unjustified, but the set would benefit from consolidation or grouping.
The surface covers connection, accounts, sales, shipping, publication lifecycle, questions, promotions, ads, profitability, clips, and competition research. It is very broad, with only minor gaps such as a dedicated order-detail tool or hard-delete publication operation.