Basis Calculator MCP. Cross-reference market pricing, history, and seasonal trends.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Basis Calculator determines commodity market parity by comparing local physical prices against exchange futures contracts. This MCP helps analysts calculate a commodity's absolute basis value, telling you instantly if the market is priced above or below expected levels.
It also provides historical benchmarks and seasonal forecasts to give you context for today’s numbers.
What your AI agents can do
Calculate current basis
Computes the current absolute basis value and classifies it as Above Parity (positive) or Below Parity (negative).
Get historical averages
Retrieves established historical average basis figures for specific commodities in defined regions.
Get seasonality trend
Identifies the expected direction of basis movement based on the current period in the agricultural cycle.
Calculate the absolute difference between local physical prices and futures, showing if the commodity is above or below parity right now.
Pull hardcoded historical average basis data for specific regions and commodities to give context to current pricing.
Forecast expected changes in the commodity's basis by analyzing the agricultural cycle (e.g., Harvest or Off-season).
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Basis Calculator: 3 Tools
Use these three tools to run a complete, multi-faceted analysis of any commodity's market value.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Basis Calculator on Vinkius019ed0f4calculate current basis
Computes the current absolute basis value and classifies it as Above Parity (positive) or Below Parity (negative).
019ed0f4get historical averages
Retrieves established historical average basis figures for specific commodities in defined regions.
019ed0f4get seasonality trend
Identifies the expected direction of basis movement based on the current period in the agricultural cycle.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Basis Calculator, then connect any of our 4,900+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,900+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Basis Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Manually checking commodity pricing is a nightmare of tabs and spreadsheets.
Today, determining the true value of a commodity means jumping between three different data sources. You open your futures platform to calculate the basis; you switch to a regional database to find last year's average for comparison; then you pull up an agricultural report just to see if it’s Harvest season or Off-season. This process isn't only time-consuming, it introduces multiple points of copy/paste failure and human error.
With this MCP, all that complexity disappears into a single request. You ask your agent for the basis analysis, and it runs through current pricing, historical averages, and seasonal forecasts automatically. What you get is one unified report showing risk and opportunity.
Getting a full market picture with Basis Calculator
The biggest time sink that goes away is the back-and-forth verification process. You never have to manually confirm if today's basis aligns with last year’s averages or whether the season supports the current price point. Your agent handles all three checks simultaneously.
Now, you get a single source of truth that tells you not only where the market is right now but also what it should be and when it might change.
What you can do with this MCP connector
Commodity pricing is complicated; it involves looking at physical local costs while simultaneously tracking far-off futures contracts. This MCP lets your agent analyze that gap, determining the true basis of a commodity in one place. Instead of manually cross-referencing multiple data streams, you ask for an analysis, and the system calculates the current value and its market classification.
It doesn't stop there; it benchmarks today’s findings against years of regional averages and models seasonal shifts, giving you a full picture of risk. Because this MCP is hosted on Vinkius, you connect your preferred AI client once to access this tool alongside thousands of others. You get the context needed to make an informed trade or financial decision.
019ed0f4-73b7-7138-9694-d7bb0acdd00f 
How Basis Calculator MCP Works
- 1 First, your agent uses
calculate_current_basisto establish the absolute value of the basis using today's local and future prices. - 2 Next, it calls
get_historical_averagesto retrieve past regional data points. This gives you a necessary comparison point for current pricing models. - 3 Finally, running through
get_seasonality_trendadjusts the analysis by predicting expected basis shifts based on the commodity's time of year.
The bottom line is that it provides a three-part risk assessment: what’s happening now, what usually happens, and what's predicted to happen next.
Who Is Basis Calculator MCP For?
This MCP serves commodity traders and financial analysts who need high accuracy under time pressure. If you’re constantly toggling between live pricing feeds, historical database reports, and seasonal agricultural calendars, this is for you.
Uses the MCP to quickly determine if current pricing suggests a profitable trade or if market deviation requires holding off until seasonality shifts.
Runs comparative reports, cross-referencing today's basis value against historical averages and seasonal trends for compliance reporting.
Determines the optimal time to sell or hold inventory by predicting expected basis movement during various stages of the farming cycle.
What Changes When You Connect
- Reduces reliance on gut feeling. By running
calculate_current_basisalongside historical data fromget_historical_averages, you get an immediate measure of how unusual today's market position is. - Moves past simple point-in-time analysis. Instead of just looking at current prices, the system uses
get_seasonality_trendto show if the basis is expected to change during harvest or off-season periods. - Saves time running complex queries across multiple systems. You don't have to jump between your pricing feed and your historical database; this MCP pulls it all into one analysis.
- Mitigates single-data-point risk. Knowing the basis is 'Above Parity' only tells half the story. Cross-validating that result with
get_historical_averagesprovides crucial depth for due diligence. - Provides actionable context, not just numbers. The combination of all three tools gives you a comprehensive picture: where the market stands, where it usually is, and where it’s going.
Real-World Use Cases
Evaluating a potential forward sale
A commodity trader needs to decide if they should sell their inventory now. They ask the agent to calculate the current basis using calculate_current_basis, then cross-check this result with get_seasonality_trend for the next three months. The system reports that while the immediate basis is slightly low, the seasonal trend suggests it will improve sharply in four weeks.
Investigating a market anomaly
A financial analyst notices current prices are spiking but suspects they might be an outlier. They use calculate_current_basis and then immediately call get_historical_averages to prove whether the spike is statistically normal or represents a rare event.
Planning for end-of-year inventory
A consultant needs to advise a farmer on timing their sales. They ask the agent what the expected basis movement will be during the Off-season period, using get_seasonality_trend. This helps them recommend storing goods until prices are predicted to rise.
Validating compliance reports
An analyst preparing quarterly reports needs to ensure the current basis value is consistent with long-term regional trends. They run calculate_current_basis and then feed that result into a comparative analysis using get_historical_averages.
The Tradeoffs
Relying only on today's price
A trader sees that calculate_current_basis shows the market is 'Above Parity' and assumes it’s a guaranteed profit. They sell immediately without checking any other data.
→
Don't rely solely on the current reading. Always validate the result by calling get_historical_averages to check if this level of parity is typical for this time, and run get_seasonality_trend to see if conditions are expected to change.
Ignoring seasonal shifts
An analyst ignores the calendar cycle, only looking at current price data. They miss that a major market correction is historically expected during this specific month.
→
Before making any decision, run get_seasonality_trend. This tool provides the necessary context to temper your reaction to immediate pricing fluctuations.
Using disparate tools manually
Copying a basis value from one spreadsheet, then logging into another system for historical averages, and finally opening a third report for seasonal trends. This takes hours.
→ Connect your AI client to this MCP. Your agent handles the entire workflow—calculating current status, fetching history, and predicting future movement—in a single, coherent query.
When It Fits, When It Doesn't
Use this MCP if you are dealing with high-stakes commodity pricing where risk assessment requires triangulation of time (current vs. historical) and cycle (seasonal trend). You need to know why the basis is what it is, not just what it is.
Don't use this if your goal is simple tracking or basic arithmetic—for instance, calculating a fixed tax rate or summing up monthly sales figures; those tasks are better suited for simple data aggregation tools. You need all three components (current, historical, seasonal) to properly mitigate risk and build a full financial picture.
Common Questions About Basis Calculator MCP
How can I calculate the current market parity? +
Use the calculate_current_basis tool by providing the local physical price and the futures contract price for the same maturity.
Can I check historical basis values for specific regions? +
Yes. By using get_historical_averages, an agent can retrieve hardcoded historical mean basis values for a given location and commodity.
Does the server provide information on seasonal trends? +
Yes, the get_seasonality_trend tool identifies expected basis movements (Increasing, Decreasing, or Stable) based on whether it is currently Harvest or Off-season.
What data parameters must I provide when using `calculate_current_basis`? +
You need two specific values for this calculation: the local physical price and the corresponding exchange futures price. The tool determines the absolute basis value by subtracting one price from the other.
If I use `get_historical_averages` with a commodity or region code that is not supported, what happens? +
The MCP will return an error indicating invalid input identifiers. You must verify that you are using the exact, hardcoded codes for both the specific region and the commodity type.
Is there a limit on how many times I can call `get_seasonality_trend` in one day? +
Vinkius handles rate limiting across all its MCPs. However, for standard analytical use cases like predicting seasonal trends, the calls are reliable and designed to support high-frequency analysis.
How often is the data used by `get_historical_averages` refreshed? +
The historical basis averages are periodically updated by Vinkius. Keep in mind that while these figures provide strong context, they don't represent real-time market movements.
Can I combine the output from `get_seasonality_trend` with my current pricing using `calculate_current_basis`? +
Absolutely. You can feed the predicted seasonal movement into your agent's context, helping you interpret whether a calculated basis value is expected or unusually divergent.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
