How to Use the Basis Calculator MCP in CrewAI

Q: How do I add the Basis Calculator to a CrewAI agent?

Install crewaitools and pass the MCP URL directly in your Agent's mcps list. This gives that specific agent immediate access to the calculation tools.

Run multi-agent commodity trading teams that analyze cash-to-futures spreads using CrewAI and this basis engine.

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Connect Basis Calculator MCP to CrewAI

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Setup Basis Calculator with CrewAI

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Coordinate multi-agent basis analysis using CrewAI

The `calculate_current_basis` tool determines whether physical commodity prices are Above Parity or Below Parity relative to the futures market. A specialized researcher agent can fetch the raw cash prices, while an analyst agent runs this tool to calculate the exact spread. By dividing tasks among specialized agents, your crew doesn't hit bottlenecks. The coordinator agent monitors the session and triggers hedging actions only when the calculated spread hits your target threshold.

Compare current spreads against historical baselines

The `get_historical_averages` tool pulls regional historical basis averages for specific agricultural products. Your analysis agent uses this data to determine if a local elevator's cash bid is historically strong or weak. CrewAI agents share memory, allowing them to carry this historical context across multiple steps of your trading workflow. The researcher agent can cross-reference the average with current news reports to spot anomalies.

Track agricultural cycle trends in your CrewAI team

The `get_seasonality_trend` tool identifies expected basis movements for specific periods in the agricultural cycle. Your planning agent uses this trend data to build long-term storage or selling recommendations. This MCP connects to your CrewAI setup via standard HTTP or SSE transports. You can filter which agents have access to these seasonal trends, keeping your execution pipelines lean and focused.

Setup guide

Set up Basis Calculator MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Basis Calculator tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Basis Calculator Analyst",
    goal="Access and analyze Basis Calculator data via MCP.",
    backstory="Expert analyst with direct Basis Calculator access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Basis Calculator transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Basis Calculator Analyst",
        goal="Access and analyze Basis Calculator data via MCP.",
        backstory="Expert analyst with direct Basis Calculator access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Basis Calculator transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

Install crewai[tools] and pass the MCP URL directly in your Agent's mcps list. This gives that specific agent immediate access to the calculation tools.

Yes, you can use the MCPServerHTTP class from crewai.mcp and apply a tool_filter. This ensures only your analyst agent can access the basis calculation functions.

CrewAI coordinates tool calls through its shared memory and execution planner. Agents take turns querying the basis data, preventing race conditions or duplicated requests during market analysis.

This MCP supports stdio, SSE, and Streamable HTTP transports. You can configure the connection method that best fits your agent team's deployment environment.

All calculations are processed in-memory during the MCP session. Your local physical cash bids, futures contract prices, and commodity codes are never written to permanent logs or shared externally.

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