agrobr-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| preco_diarioA | Daily spot prices for Brazilian agricultural commodities (CEPEA/ESALQ). |
| futuros_b3A | Daily settlement prices for agricultural futures on B3 exchange. |
| estimativa_safraA | Current crop season estimate by state (area, production, yield). |
| producao_anualC | Historical annual crop production by state (IBGE PAM). |
| balancoA | Supply and demand balance (stock, consumption, exports). |
| progresso_safraA | Weekly planting and harvesting progress by state. |
| climaA | Recent climate data by state (temperature, precipitation, radiation, humidity, wind). |
| desmatamentoA | Deforestation rates and alerts by biome. |
| listar_produtosA | List valid products/parameters for each agrobr-mcp tool. |
| health_checkA | Check the status of agrobr data sources. Returns which APIs are responding and which have issues. Useful to diagnose when a tool returns an error. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 10 tools
Each tool covers a distinct aspect of agricultural data: balance, climate, deforestation, crop estimates, futures prices, spot prices, annual production, planting progress, plus utilities. There is no significant overlap.
Names are mostly noun phrases with underscores (e.g., estimativa_safra, preco_diario) but include one verb (listar_produtos) and one English term (health_check), creating mild inconsistency.
With 10 tools covering key data categories for Brazilian agribusiness, the count is well-scoped—neither too few nor too many for the domain.
The set covers major areas: production, prices, weather, deforestation, balance, and progress. Minor gaps like export/storage data exist, but the core is robust.