mcp-brasilapi
Related Servers
Alternatives to mcp-brasilapi
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables LLMs to access Brazilian public data through MCP tools for querying CNPJ, CEP, banks, and national holidays.4MIT
- AlicenseAqualityBmaintenanceEnables lookup of Brazilian public data including companies (CNPJ), postal codes (CEP), banking, economy, geography, and more through 15 tools and 2 guided prompts, powered by BrasilAPI with no API key required.15MIT
- AlicenseAqualityCmaintenanceEnables LLM clients to query public Brazilian data through tools for CEP addresses, CNPJ registrations, banks, FIPE vehicle prices, national holidays, and DDD area codes, with no API key required.8MIT
- AlicenseAqualityAmaintenanceEnables AI assistants to query Brazilian public data from IBGE, Banco Central, INMET, and Câmara dos Deputados, including population, economic indicators, weather observations, and legislative information, without requiring API keys for most tools.14151 PyPI2MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that connects AI agents to 28 Brazilian public APIs, providing tools to query government data on economy, legislation, transparency, judiciary, elections, environment, health, and more.MIT
- FlicenseBqualityDmaintenanceQuery a variety of data from Brasil resources seamlessly. Access information on postal codes, area codes, banks, holidays, taxes, and more through a unified interface. Enhance your AI agents and applications with rich and updated data from BrasilAPI effortlessly.67-
TDQS
Scored across 41 tools
Each tool has a clearly distinct purpose, grouped by domain (e.g., bancos, cep, fipe) with specific actions like buscar, listar, pesquisar. No two tools overlap in functionality; an agent can easily select the correct one.
Tools follow a consistent domain__verb pattern in snake_case (e.g., bancos__buscar, cep__listar). One minor deviation is cep__buscar_v2, which breaks the verb-only pattern but is still understandable.
41 tools is high but justified given the server aggregates many distinct Brazilian public APIs (banks, CEP, CNPJ, weather, FIPE, IBGE, etc.). Each tool serves a specific query, and the number reflects the breadth of available data.
The tool surface covers key CRUD-like operations for each domain (list, get, search) and even includes advanced features like geolocation CEP and wave prediction. Minor gaps exist (e.g., no explicit update/delete for any domain, but these are read-only APIs).