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agrobr

agrobr

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github.com/bruno-portfolioBusiness & Marketing29Updated 3w ago

About agrobr

agrobr-mcp is an MCP server for LLMs that need Brazilian agricultural data from 10 public sources. It covers prices, crops, climate, and environmental data, while the agrobr library handles data collection and processing.

Key features

  1. 01Queries agricultural spot and futures prices
  2. 02Retrieves crop estimates and historical production
  3. 03Checks planting and harvest progress
  4. 04Queries climate and livestock data
  5. 05Retrieves deforestation and fire hotspot data
  6. 06Checks data-source status

Use cases

  1. 01Look up crop estimates for soy or corn by state
  2. 02Research agricultural prices and export trends
  3. 03Review climate data across Brazilian states
  4. 04Query deforestation and fire hotspots by biome

MCP support

The MCP server exposes 14 tools to MCP clients for querying Brazilian agricultural prices, crops, climate, deforestation, and related data, as well as checking data-source status.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"bruno-portfolio-agrobr": {
"command": "uvx",
"args": [
"agrobr-mcp"
]
}
}
}
Run commanduvx agrobr-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiagrobr-mcp0.2.0

Tools

14

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
diasintegerNo
produtostringYes

Details

From the project README

agrobr-mcp

PyPI Tests License: MIT Python 3.11+

MCP server that gives LLMs access to real-time Brazilian agricultural data — prices, crop estimates, climate, deforestation and more from 10 public sources from agrobr.

Demo


Install

Version 0.2.0 requires agrobr >=2.0.0,<3 and MCP Python SDK >=2.0.0,<3.

pip install agrobr-mcp

Setup

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "agrobr": {
      "command": "python",
      "args": ["-m", "agrobr_mcp"]
    }
  }
}
Cursor

Settings > MCP Servers > Add:

{
  "agrobr": {
    "command": "python",
    "args": ["-m", "agrobr_mcp"]
  }
}
Claude Code
claude mcp add agrobr python -- -m agrobr_mcp

If the above fails due to -m flag parsing, create a wrapper script:

Linux/macOS: echo 'python -m agrobr_mcp' > run.sh && chmod +x run.sh && claude mcp add agrobr ./run.sh

Windows: echo python -m agrobr_mcp > run.bat && claude mcp add agrobr run.bat

Docker
docker build -t agrobr-mcp .
docker run --rm -i agrobr-mcp

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "agrobr": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "agrobr-mcp"]
    }
  }
}

Tools

14 tools available out of the box:

Prices & Market
ToolDescription
preco_diarioDaily spot prices for agricultural commodities (CEPEA/ESALQ)
futuros_b3Daily settlement prices for agricultural futures on B3 exchange (latest published session by default)
exportacaoAgricultural exports summed by month, by product and state of origin (Comex Stat; ABIOVE fallback)
Production & Crop
ToolDescription
estimativa_safraCrop estimate by state, latest season with data by default (CONAB/IBGE)
producao_anualHistorical annual production by state (IBGE PAM)
balancoSupply and demand balance — stock, consumption, exports (CONAB)
progresso_safraWeekly planting and harvesting progress by state (CONAB)
serie_historica_safraHistorical crop series by season — area, production, yield; last 10 years by default (CONAB)
rebanhoLivestock herds and animal products by state, latest published year by default (IBGE PPM)
Climate & Environment
ToolDescription
climaClimate data by state — temperature, precipitation, radiation (NASA POWER)
desmatamentoDeforestation polygons (PRODES for the previous calendar year, falling back one more year when empty) and alerts (DETER, last 15 days) by biome, with optional year and state filters, up to 2,000 records (INPE)
queimadasFire hotspots of one day by municipality and biome, reference satellite (INPE)
Meta
ToolDescription
listar_produtosList valid products for each tool
health_checkCheck status of all data sources

Example queries

"Qual o preço da soja nos últimos 5 dias?"
"Estimativa de safra de milho por estado"
"Progresso da colheita de soja"
"Dados de desmatamento na Amazônia"
"Quais produtos estão disponíveis?"

How it works

User (natural language)
    │
MCP Client (Claude Desktop / Cursor / Claude Code)
    │
agrobr-mcp (this server — thin layer, text formatting)
    │
agrobr library (data collection, parsing, caching)
    │
19 public APIs (CEPEA, CONAB, IBGE, INPE, B3, NASA POWER…)

agrobr-mcp is a thin wrapper. All data logic lives in the agrobr library.


Development

git clone https://github.com/bruno-portfolio/agrobr-mcp.git
cd agrobr-mcp
pip install -e ".[dev]"

# Run tests
pytest tests/ -m "not integration" -v

# Lint
ruff check src/ tests/
ruff format src/ tests/

License

MIT


PT-BR

O que é o agrobr-mcp?

Servidor MCP que dá acesso a dados agrícolas brasileiros em tempo real para LLMs. Preços, safras, clima, desmatamento e mais — tudo de fontes públicas como CEPEA, CONAB, IBGE, INPE e B3.

Instalação

A versão 0.2.0 requer agrobr >=2.0.0,<3 e MCP Python SDK >=2.0.0,<3.

pip install agrobr-mcp
Configuração

Adicione ao seu client MCP (Claude Desktop, Cursor ou Claude Code) conforme as instruções acima.

Docker
docker build -t agrobr-mcp .
docker run --rm -i agrobr-mcp
14 tools disponíveis
  • preco_diario — Preço spot de commodities agrícolas (CEPEA/ESALQ)
  • futuros_b3 — Ajustes diários de futuros agrícolas na B3 (por padrão, o último pregão publicado)
  • exportacao — Exportações agrícolas somadas por mês, por produto e UF de origem (Comex Stat; ABIOVE como reserva)
  • estimativa_safra — Estimativa de safra por UF, por padrão a safra mais recente com dado (CONAB/IBGE)
  • producao_anual — Produção histórica por UF (IBGE PAM)
  • balanco — Balanço de oferta e demanda (CONAB)
  • progresso_safra — Progresso semanal de plantio e colheita (CONAB)
  • serie_historica_safra — Série histórica por safra: área, produção e produtividade; por padrão os últimos 10 anos (CONAB)
  • rebanho — Rebanhos e produção animal por UF, por padrão o ano mais recente publicado (IBGE PPM)
  • clima — Dados climáticos por UF (NASA POWER)
  • desmatamento — Polígonos de desmatamento (PRODES do ano anterior ao corrente, recuando mais um ano se vier vazio) e alertas (DETER, últimos 15 dias) por bioma, com filtros opcionais de ano e UF, até 2.000 registros (INPE)
  • queimadas — Focos de calor de um dia por município e bioma, satélite de referência (INPE)
  • listar_produtos — Lista produtos válidos por tool
  • health_check — Status das fontes de dados
Links

mcp-name: io.github.bruno-portfolio/agrobr

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