Context7
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Description from the maker (original English)
Brazilian agricultural data for LLMs — prices, crops, climate, deforestation.
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Pick the AI app you use, then copy the settings.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"agrobr": {
"command": "uvx",
"args": [
"agrobr-mcp"
]
}
}
}Run this in your terminal
claude mcp add agrobr -- uvx agrobr-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agrobr": {
"command": "uvx",
"args": [
"agrobr-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"agrobr": {
"type": "stdio",
"command": "uvx",
"args": [
"agrobr-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account bruno-portfolio, which owns the repo
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Runs on your computer and uses local settings instead
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The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 28 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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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.
Version 0.2.0 requires agrobr >=2.0.0,<3 and MCP Python SDK >=2.0.0,<3.
pip install agrobr-mcp
Add to claude_desktop_config.json:
{
"mcpServers": { "agrobr": { "command": "python", "args": ["-m", "agrobr_mcp"] } } }
Settings > MCP Servers > Add:
{
"agrobr": { "command": "python", "args": ["-m", "agrobr_mcp"] } }
claude mcp add agrobr python -- -m agrobr_mcp
If the above fails due to
-mflag 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 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"] } } }
14 tools available out of the box:
| Tool | Description |
|---|---|
preco_diario | Daily spot prices for agricultural commodities (CEPEA/ESALQ) |
futuros_b3 | Daily settlement prices for agricultural futures on B3 exchange (latest published session by default) |
exportacao | Agricultural exports summed by month, by product and state of origin (Comex Stat; ABIOVE fallback) |
| Tool | Description |
|---|---|
estimativa_safra | Crop estimate by state, latest season with data by default (CONAB/IBGE) |
producao_anual | Historical annual production by state (IBGE PAM) |
balanco | Supply and demand balance — stock, consumption, exports (CONAB) |
progresso_safra | Weekly planting and harvesting progress by state (CONAB) |
serie_historica_safra | Historical crop series by season — area, production, yield; last 10 years by default (CONAB) |
rebanho | Livestock herds and animal products by state, latest published year by default (IBGE PPM) |
| Tool | Description |
|---|---|
clima | Climate data by state — temperature, precipitation, radiation (NASA POWER) |
desmatamento | Deforestation 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) |
queimadas | Fire hotspots of one day by municipality and biome, reference satellite (INPE) |
| Tool | Description |
|---|---|
listar_produtos | List valid products for each tool |
health_check | Check status of all data sources |
"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?"
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.
git clone https://github.com/bruno-portfolio/agrobr-mcp.git
cd agrobr-mcp pip install -e ".[dev]"
pytest tests/ -m "not integration" -v
ruff check src/ tests/ ruff format src/ tests/
MIT
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.
A versão 0.2.0 requer agrobr >=2.0.0,<3 e MCP Python SDK >=2.0.0,<3.
pip install agrobr-mcp
Adicione ao seu client MCP (Claude Desktop, Cursor ou Claude Code) conforme as instruções acima.
docker build -t agrobr-mcp .
docker run --rm -i agrobr-mcp
mcp-name: io.github.bruno-portfolio/agrobr