How to Use the Commodities MCP in CrewAI

Deploy a specialized crew of autonomous agents to monitor market fluctuations using the Commodities MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Commodities MCP to CrewAI

Create your Vinkius account to connect Commodities to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Commodities with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run a market research crew with CrewAI

Assign one agent to watch `get_precious_metals_prices` while another analyzes the trends. CrewAI shares the memory between them so they work as a team. They collaborate to synthesize reports without you needing to manage the individual steps. It mimics a human analyst team's workflow.

Monitor agricultural markets with CrewAI

Set up a monitor agent to track `get_wheat_price` and `get_coffee_price` throughout the day. It alerts the rest of the crew when specific criteria are met. Your agents act autonomously to keep you updated. You get the insights without manual intervention.

Scale market operations with CrewAI

Add more agents to your team as your needs grow. Each agent uses its own set of tools to query `get_energy_commodities_prices` or other benchmarks. Sequential execution ensures that your data flows correctly through your pipeline. Your team of agents handles the heavy lifting.

Setup guide

Set up Commodities 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 Commodities tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Commodities 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 →

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="Commodities Analyst",
        goal="Access and analyze Commodities data via MCP.",
        backstory="Expert analyst with direct Commodities access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Commodities 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 Commodities-API. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Commodities now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Commodities MCP in CrewAI

Simply pass the server URL into the agent's MCP configuration. The crew will automatically gain access to all the commodity tools.

The server provides price data for your agents to use. You can write custom logic to act on those prices, but the server only performs reads.

You can restrict which agents get access to which tools. This allows you to give only the research agent access to market price data.

CrewAI uses shared memory to pass information between agents. Once one agent retrieves a price, the rest of the crew can reference it.

The server uses a zero-trust architecture. Your agent interactions are limited to reading public market numbers, keeping your environment isolated.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Commodities MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started