Mcp-Brasil/mcp-brasil
MCP Server para 70 APIs públicas brasileiras observed · 2026-08-28
Health v2 · maintenance only
75/100
- Activity 98
- Release rhythm 81
- Longevity 11
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 161
- days_rel: 131
- days_push: 15
- n_releases_24m: 19
Adoption not part of the score
1735 stars · 258 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An MCP server exposing 70 Brazilian public/government data sources (533 tools) to AI agents like Claude, GPT, and Copilot. Built in Python with FastMCP, it includes local DuckDB caching for large datasets, batch execution, and smart tool discovery.
Use cases
- connect claude to brazilian government data
- query brazilian public apis from an ai agent
- look up brazilian election results via llm
- check government spending transparency data
- search brazilian legislation with an ai assistant
- access anp fuel prices programmatically
- cross-reference deputy expenses and voting records
When to choose
- you need Brazilian public/government data inside an LLM agent via MCP
- you want pre-built tools for dozens of Brazilian APIs without writing integrations
- you need large Brazilian datasets (TSE, ENEM, fuel prices) queryable via SQL
When to avoid
- you need official government services or guaranteed data accuracy for legal decisions
- your use case involves non-Brazilian data sources
- you need a REST API rather than an MCP server for AI agents
Facets
service · maturity active
mcp api-framework search-engine apis artificial-intelligence e-government python self-hosted cli mcp-server brazilian-government-data fastmcp public-apis llm-tools ai-agents
1 source
- readme: https://github.com/Mcp-Brasil/mcp-brasil · fetched 2026-08-28 · 9f69b0388a12
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Mcp-Brasil/mcp-brasil | main | 75 |
For agents
markdown · JSON · MCP: product_card(name="Mcp-Brasil/mcp-brasil")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem