by jxnxts · MCP Server · ★ 1.5k
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mcp-brasil MCP Server para 41 APIs públicas brasileiras 326 tools · 80 resources · 62 prompts · 11 áreas temáticas Conecte AI agents (Claude, GPT, Copilot, etc.) a dados governamentais do Brasil — economia, legislação, transparência, judiciário, eleições, meio ambiente, saúde, segurança pública e mais. 38 APIs não requerem chave · 3 usam chaves gratuitas (cadastro em 1 min) Quick Start · Fontes de dados · Documentação · Desenvolvimento Features 326 tools em 41 features cobrindo 11 áreas — economia, legislativo, transparência, judiciário, eleitoral, ambiental, saúde, segurança pública, compras públicas, utilidades e mais Cross-referencing com — cria planos de execução combinando múltiplas APIs (ex: gastos de um deputado + votações + proposições) Execução em lote com — dispara consultas em paralelo numa única chamada Smart discovery — BM25 search transform filtra 326 tools para só mostrar as relevantes ao contexto Auto-registry — adicionar uma feature é criar uma pasta; zero configuração manual Async everywhere — httpx async + Pydantic v2 + rate limiting com backoff Quick Start Instalar bash pi
| Stars | 1,484 |
| Forks | 204 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 55.548/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-25 |
| Created | 2026-03-26 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~205k |
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mcp-brasil is MCP Server para 41 APIs públicas brasileiras. It is categorized as a MCP Server with 1.5k GitHub stars.
mcp-brasil is primarily written in Python. It covers topics such as ai-agents, apis-publicas, brazil.
You can find installation instructions and usage details in the mcp-brasil GitHub repository at github.com/jxnxts/mcp-brasil. The project has 1.5k stars and 204 forks, indicating an active community.
mcp-brasil is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-brasil on Agent Skills Hub include mcp-brasil, maverick-mcp, klavis. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.