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Agrobr MCP
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Agrobr MCP

An MCP server that provides real-time access to Brazilian agricultural data for LLMs, including data from 10 public sources such as prices, crop estimates, climate, and deforestation.
Research and dataFinance#Agricultural data#Brazilian agriculture#Real-time information#MCP service.Python
2.5 points
0
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Overview

Installation

Tools List

Content Details

Alternatives

What is the AgroBR MCP Server?

The AgroBR MCP Server is a server specifically designed for AI assistants, enabling AI to access real-time agricultural data in Brazil. Through this server, AI can query the latest agricultural product prices, crop yield forecasts, climate information, deforestation data, etc. All data comes from official public data sources in Brazil.

How to use the AgroBR MCP Server?

Using the AgroBR MCP Server is very simple: First, install the Python package, then configure the server address in your AI client (such as Claude Desktop, Cursor, or Claude Code). After the configuration is complete, you can directly ask the AI questions about Brazilian agriculture, and the AI will automatically use this server to obtain the latest data to answer you.

Applicable scenarios

The AgroBR MCP Server is particularly suitable for the following scenarios: Agricultural analysts need to quickly obtain market data, researchers need to analyze agricultural trends, investors need to understand the price fluctuations of agricultural products, environmental protection organizations need to monitor deforestation, and any individuals or institutions interested in Brazilian agriculture.

Main features

Price and market data
Provides daily spot price and futures price data, including spot prices from CEPEA/ESALQ and futures settlement prices from the B3 exchange.
Production and crop data
Provides crop yield forecasts, historical yield data, supply and demand balance sheets, and planting and harvest progress information.
Climate and environment data
Provides climate data (temperature, precipitation, radiation) for each state, as well as deforestation rates and real-time alerts.
Metadata tools
Provides product list query and system health check functions to help users understand available data and system status.
Advantages
Authoritative data sources: All data comes from official Brazilian institutions, including 10 public data sources such as CEPEA, CONAB, IBGE, and INPE.
Real-time updates: Provides the latest agricultural market data and environmental monitoring information.
Easy to integrate: Supports multiple AI clients, including Claude Desktop, Cursor, and Claude Code.
Completely free: Based on an open-source project, all data is provided for free.
Comprehensive coverage: Covers multiple dimensions such as prices, yields, climate, and environment.
Limitations
Limited to Brazilian data: Currently only provides agricultural data for Brazil.
Requires network connection: Needs a stable network connection to obtain real-time data.
Data latency: Some data may have a 1 - 2 day processing delay.
Requires configuration: Users need to perform simple configuration in the AI client.
Language limitation: Some data sources are in Portuguese and require AI for translation.

How to use

Install the Python package
Install the agrobr-mcp package using the pip command.
Configure the AI client
Add the MCP server settings to the configuration file according to the AI client you are using. Here is an example of the configuration for Claude Desktop:
Restart the client
Restart your AI client for the configuration to take effect.
Start asking questions
Now you can directly ask the AI questions about Brazilian agriculture, and the AI will automatically use the AgroBR server to obtain data.

Usage examples

A market analyst queries soybean prices
A market analyst needs to understand the price trend of Brazilian soybeans in the past week to make investment decisions.
An agricultural researcher analyzes corn yields
An agricultural researcher needs to analyze the corn yield forecasts for each state in Brazil to evaluate the national total yield.
An environmental protection organization monitors deforestation
An environmental protection organization needs to monitor the deforestation situation in the Amazon rainforest and prepare a report.
An investor queries futures prices
An investor needs to understand the futures prices of agricultural products to evaluate investment risks.

Frequently Asked Questions

Do I need to pay to use this service?
What is the data update frequency?
Which AI clients are supported?
Is the data accurate?
What should I do if I encounter a problem?
Can I query historical data?
Do I need knowledge of Portuguese?
Can I use Docker for deployment?

Related resources

GitHub repository
The project's source code and latest version
PyPI package page
Python package release page, including installation instructions
agrobr database
Underlying data collection and processing library
MCP protocol official website
Official documentation and specifications of the Model Context Protocol
Brazilian agricultural data source
CEPEA/ESALQ agricultural product price data
Brazilian National Supply Company
CONAB crop yield and supply - demand data

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "agrobr": {
      "command": "python",
      "args": ["-m", "agrobr_mcp"]
    }
  }
}

{
  "mcpServers": {
    "agrobr": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "agrobr-mcp"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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