MCP MercadoLibre
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Alternatives to MCP MercadoLibre
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- 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
- AlicenseBqualityAmaintenanceEnables sellers to connect one or more MercadoLibre store accounts to Claude over OAuth 2.0 with PKCE and ask about sales, orders, questions, catalog buy box, promotions, reputation, and competitor pricing in natural language, with optional write actions for pricing, stock, listings, and buyer replies. Supports consolidated multi-store reporting and requires no backend server, keeping tokens in a local file on the user's machine.321MIT
- 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
- FlicenseNot gradedqualityDmaintenanceConnects Claude to your MercadoLibre seller account, enabling natural language management of listings, orders, and shipments.-
- AlicenseBqualityDmaintenanceIntegrates with the Mercado Livre API to enable management of sales, shipments, and shipping labels directly through Claude.71MIT
- AlicenseCqualityCmaintenanceEnables Mercado Libre sellers to manage listings, catalog, stock, questions, and promotions through natural language using Codex and other MCP clients connected to the official API.41MIT
TDQS
Scored across 33 tools
The tools are grouped by clear functional areas and each description includes specific usage triggers, so most are easy to distinguish. However, a few analytics pairs like ml_embudo/ml_rendimiento_publicaciones and ml_competitividad/ml_catalogo overlap in purpose enough that an agent could occasionally hesitate between them.
All tools use a consistent ml_ prefix, lowercase, and Spanish snake_case, with action verbs for write operations and noun phrases for reads. The pattern is highly recognizable but not perfectly uniform, since some tools are bare verbs like ml_conectar while others are noun phrases like ml_publicaciones.
At 33 tools, the surface is heavy, but it covers a very broad seller platform spanning sales, listings, stock, questions, claims, reputation, ads, and market intelligence. Some analytics tools could plausibly be consolidated, so the number feels somewhat bloated rather than naturally scoped.
The monitoring and analytics side is quite complete, covering almost every seller-facing metric and alert. However, the set is mostly read-only: it lacks create/delete publication flows, order or shipping actions, message replies, and claim resolution, which leaves meaningful lifecycle gaps.