mcp-inegi
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- AlicenseNot gradedqualityBmaintenanceProvides access to Mexico's INEGI (national statistics office) indicators API, enabling AI agents to query statistical data through natural language or direct tool calls.7 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to discover datasets, indicators, and geographies and retrieve INEGI Intercensal Survey estimates with statistical precision through read-only MCP tools.MIT
- AlicenseAqualityAmaintenanceEnables AI assistants and agents to query official Mexican economic data from Banxico, including USD/MXN exchange rates, inflation (INPC), UDIS, and interest rates.644 PyPI6MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to look up metadata and fetch data values for Statistics Portugal (INE) indicators, including the valid dimension slots and dimension-value codes needed to slice a series. Supports both remote gateway and local stdio use, returning indicator titles, periodicity, units, time ranges, and filtered data points.10 npmMIT

Tlaloc MCP Serverofficial
AlicenseNot gradedqualityCmaintenanceProvides AI assistants with live, authenticated access to official Mexican data sources including CURP, RFC, postal codes, phone numbers, SPEI payments, CFDI status, DOF semantic search, and geocoding via INEGI/INE.MIT- AlicenseNot gradedqualityBmaintenanceEnables AI agents and analysts to query UN CEPALSTAT indicators through MCP by resolving natural-language requests into statistically valid indicators and retrieving clean, decoded data with anti-hallucination safeguards.MIT
TDQS
Scored across 10 tools
Each tool targets a distinct resource and action: indicator catalog, query, comparison, metadata, location lookup, area profile, activity code resolution, business counting, business search, and proximity search. Overlap between business tools is minimal and clarified by descriptions (e.g., counting vs. searching vs. nearby).
All names use snake_case, which is consistent, but the naming pattern mixes verb-first (consultar_indicador, buscar_municipio, contar_negocios) with noun-first (indicadores_clave, perfil_area, negocios_cercanos, metadatos_indicador). The inconsistency makes the set less predictable, though still readable.
Ten tools fit the INEGI domain well: indicators, geography, and businesses each have a small, focused set of operations. No tool feels redundant, and the scope is neither too narrow nor too broad.
The surface covers indicator discovery, querying, comparison, metadata, and business counting/searching/nearby, plus geographic lookup and area profiles. Minor gaps exist (e.g., no bulk data export or full list of states/municipalities), but core workflows are supported.