How to Use the Basis Calculator MCP in LlamaIndex

Index your commodity basis data with LlamaIndex for grounded, searchable market intelligence.

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Connect Basis Calculator MCP to LlamaIndex

Create your Vinkius account to connect Basis Calculator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Basis Calculator with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Ground your index in basis math

Run `calculate_current_basis` to generate fresh data points for your vector store. Your agents query these results to make informed decisions grounded in live numbers. Stop relying on guesses and start querying the actual spread between your local cash and the futures market.

Searchable historical records

Ingest `get_historical_averages` into your knowledge base to provide long-term context to your RAG application. Your index now understands how specific regions have performed over time, making your agent's answers far more accurate.

Index seasonal patterns

Turn the output of `get_seasonality_trend` into searchable documentation for your AI. Your agent retrieves relevant seasonal behavior as part of its context, allowing it to explain the 'why' behind current market movements.

Setup guide

Set up Basis Calculator MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Basis Calculator MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Basis Calculator tools.",
)
response = await agent.run("List recent Basis Calculator data")

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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.

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Common questions about Basis Calculator MCP in LlamaIndex

You call the tools via the MCP spec and pass the resulting data into your vector store. This makes your Basis Calculator findings available for semantic retrieval.

Yes, once indexed, those results become part of your persistent knowledge base. You can ask your agent about trends based on data it retrieved weeks ago.

Your data remains local to your index. This MCP does not store or share your commodity pricing information with any third-party services.

It does. The tools are fully compatible with async patterns, allowing you to fetch pricing and index it without blocking your application.

Your index will simply not receive a new record for that query. You can set up your agent to handle missing data through custom validation logic.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python