# Commodity Price Converter MCP MCP > Commodity Price Converter handles complex agricultural finance calculations. It lets your agent standardize commodity pricing by converting units like saca, arroba, and bushel across global currencies (BRL/USD). You can calculate true production costs per hectare using current yields and historical market data for accurate valuation. ## Overview - **Category:** finance - **Price:** Free - **Tags:** commodity, conversion, agriculture, pricing, exchange-rate ## Description Figuring out a fair price for commodities isn't simple. It involves more than just checking the exchange rate; you have to account for yield, different weight units, and seasonal fluctuations. This MCP handles that complexity for you. You can use it to standardize massive datasets, converting a single commodity price into every supported unit and currency instantly. After standardizing the pricing, your agent calculates total production costs based on land productivity. Want more context? Pulling in historical data lets you see how prices have moved over time. By connecting this capability through Vinkius, you give your AI client access to powerful financial tools without needing custom development. It turns raw market numbers into a defensible valuation baseline. ## Tools ### calculate_cost_per_hectare Calculates the total production cost in BRL per hectare, using the current commodity price and measured land yield. ### convert_price_units Converts a single commodity price to all supported units (saca, bushel, etc.) and currencies (BRL, USD). ### get_historical_market_trends Retrieves the recorded historical high, low, and average prices for any specific month and year. ## Prompt Examples **Prompt:** ``` Convert 150 BRL per saca to USD using an exchange rate of 5.0. ``` **Response:** ``` The `convert_price_units` tool has processed the request and returned all equivalent prices in BRL and USD for saca, arroba, bushel, and tonne. ``` **Prompt:** ``` What is the production cost if I produce 60 sacas per hectare at 150 BRL each? ``` **Response:** ``` Using `calculate_cost_per_hectare`, the total production cost is calculated as 9000 BRL per hectare. ``` **Prompt:** ``` Show me the market trends for February 2023. ``` **Response:** ``` The `get_historical_market_trends` tool retrieved the following data: Min BRL 52, Max BRL 62, and Avg BRL 57. ``` ## Capabilities ### undefined undefined ### undefined undefined ### undefined undefined ### undefined undefined ### undefined undefined ## Use Cases ### A bank appraiser needs to value land in a volatile market. The appraiser asks their agent for the property valuation. The agent uses `convert_price_units` first to stabilize the currency, then runs `calculate_cost_per_hectare` to get the current cost floor. Finally, it calls `get_historical_market_trends` to give the bank a risk assessment based on past price swings. ### A farmer needs to know if their harvest costs were too high. The farmer inputs his expected yield and commodity rate. The agent uses `calculate_cost_per_hectare` to get the current cost, then asks for historical data on that specific crop's pricing via `get_historical_market_trends` to see if they are priced above or below average. ### A commodity buyer needs quick comparisons. The buyer has a price quoted in bushels and BRL. The agent uses `convert_price_units` once, instantly returning the equivalent value in tonnes, USD, and sacas so the buyer can compare offers from three different sources. ### A developer is structuring a new valuation tool. The developer directs their agent to first use `convert_price_units` to establish a base metric. They then feed that metric into both `calculate_cost_per_hectare` and `get_historical_market_trends` to build a complete, data-backed valuation report. ## Benefits - You stop guessing about cost. `calculate_cost_per_hectare` gives you a clear, calculated production cost per hectare based on current pricing and land productivity. - No more spreadsheet headaches with units. Use `convert_price_units` to instantly transform one commodity price into every supported unit and currency, making comparisons simple. - Get context for your valuation. `get_historical_market_trends` pulls actual market extremes—min, max, and average prices—allowing you to assess if current pricing is high or low. - Standardize risk assessment across currencies. The converter handles shifts between BRL and USD automatically, so you can compare apples to apples regardless of the trade pair. - Build a full valuation model quickly. By chaining these tools together, your agent runs complex financial analysis that would take hours manually. ## How It Works The bottom line is you get a standardized, defensible valuation that accounts for currency risk and historical market cycles. 1. Start by giving your agent the base commodity price, its current unit (e.g., saca), and the land's productivity rate. 2. The system first uses conversion logic to standardize all prices across currencies and weights, then calculates the total cost per hectare based on those rates. 3. You receive a multi-layered valuation: the immediate calculated cost, plus historical context showing what similar commodity prices were in past months. ## Frequently Asked Questions **How can I convert prices between different units?** Use the `convert_price_units` tool. Provide the initial price, its unit (e.g., saca), its currency, and the current USD/BRL exchange rate to get a complete list of all supported units. **Can I calculate production costs per hectare?** Yes. The `calculate_cost_per_hectare` tool calculates the cost in BRL/ha by processing the commodity price and the land's yield per hectare. **Does it provide historical data?** Yes, the `get_historical_market_trends` tool allows you to query minimum, maximum, and average prices for specific months and years stored in our dataset. **When using `convert_price_units`, how are exchange rate fluctuations handled?** The tool uses real-time market rates when you run the conversion. If your analysis requires a specific historical or projected exchange rate, you must pass that explicit rate into the request parameters. **What happens if I forget an input parameter when calling `calculate_cost_per_hectare`?** The function won't run. It throws a clear validation error message, telling you exactly which of the four required inputs—like yield or commodity unit—is missing from your call. **Can `get_historical_market_trends` pull data for multiple commodities at once?** No. This MCP is designed to analyze market trends for one specific commodity per call. You must execute a separate function request if you want to compare different crops or goods. **Are there rate limits when calling `convert_price_units`?** Yes, Vinkius enforces standard usage quotas on all MCPs. If your agent exceeds the allowed calls, it will return a specific HTTP 429 error code. **What data format should I expect from `calculate_cost_per_hectare`?** The tool returns one single numerical result: the total production cost. This figure is always provided in BRL and retains full decimal precision for accurate financial reporting.