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Commodities MCP Server for CrewAI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Commodities through the Vinkius — pass the Edge URL in the `mcps` parameter and every Commodities tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Commodities Specialist",
    goal="Help users interact with Commodities effectively",
    backstory=(
        "You are an expert at leveraging Commodities tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Commodities "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Commodities
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Commodities MCP Server

Connect to Commodities-API and bring real-time futures market intelligence to any AI agent. Access 30+ commodities across precious metals, energy, agriculture, livestock, and industrial metals.

When paired with CrewAI, Commodities becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Commodities tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

  • Precious Metals — Get current futures prices for gold, silver, platinum, and palladium (CME/NYMEX)
  • Energy Commodities — Track WTI crude oil, Brent crude, and natural gas prices (NYMEX/CME)
  • Agriculture — Monitor wheat, corn, soybean, coffee, cocoa, sugar, cotton, and more (CBOT/CME)
  • Livestock — Access live cattle, feeder cattle, lean hogs, and Class III milk prices (CME)
  • Industrial Metals — Track copper and aluminum futures (CME)
  • Individual Quotes — Get instant price for any specific commodity by code
  • Market Comparison — Compare prices across multiple commodities simultaneously
  • Exchange Information — Know which exchange (CME, NYMEX, CBOT) trades each commodity

The Commodities MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Commodities to CrewAI via MCP

Follow these steps to integrate the Commodities MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Customize the agent

Adjust the role, goal, and backstory to fit your use case

04

Run the crew

Run python crew.py — CrewAI auto-discovers 12 tools from Commodities

Why Use CrewAI with the Commodities MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Commodities through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Commodities + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Commodities MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Commodities for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Commodities, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Commodities tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Commodities against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Commodities MCP Tools for CrewAI (12)

These 12 tools become available when you connect Commodities to CrewAI via MCP:

01

get_agriculture_commodities_prices

Perfect for tracking agricultural markets. USE WHEN: - User asks about agriculture commodity prices - User wants to see all agricultural commodities at once - User needs to track food commodity pricing - User asks "show me agriculture commodity prices" EXAMPLES: - "What are agriculture commodity prices?" → call with no params - "Show me wheat, corn, coffee, cocoa prices" → call with no params - "Agriculture market today" → call with no params Get current prices for major agriculture commodities

02

get_brent_crude_oil_price

Brent is the international oil benchmark used for global pricing. USE WHEN: - User asks about Brent oil prices - User needs the international oil benchmark - User wants to compare WTI vs Brent spread - User asks "what is Brent price" EXAMPLES: - "What is Brent oil price?" → call with no params - "Current Brent crude price" → call with no params - "Brent oil benchmark today" → call with no params Get current Brent crude oil futures price

03

get_coffee_price

Coffee is one of the most traded agricultural commodities globally. USE WHEN: - User asks about coffee prices - User needs the soft commodity benchmark - User wants to track agricultural pricing - User asks "what is coffee price" EXAMPLES: - "What is coffee price?" → call with no params - "Current coffee futures price" → call with no params - "Coffee spot price today" → call with no params Get current coffee futures price

04

get_copper_price

Copper is known as "Dr. Copper" for its ability to predict economic health. USE WHEN: - User asks about copper prices - User needs the industrial metals benchmark - User wants to track economic indicators - User asks "what is copper price" EXAMPLES: - "What is copper price?" → call with no params - "Current copper futures price" → call with no params - "Copper spot price today" → call with no params Get current copper futures price

05

get_crude_oil_price

WTI is the primary US oil benchmark. USE WHEN: - User asks about crude oil prices - User needs the US oil benchmark - User wants to check WTI pricing - User asks "what is oil price" EXAMPLES: - "What is crude oil price?" → call with no params - "Current WTI oil price" → call with no params - "Crude oil futures today" → call with no params Get current WTI crude oil futures price

06

get_energy_commodities_prices

Essential for tracking the energy market. USE WHEN: - User asks about energy commodity prices - User wants to see all energy commodities at once - User needs to compare oil vs gas prices - User asks "show me energy commodity prices" EXAMPLES: - "What are energy commodity prices?" → call with no params - "Show me oil and gas prices" → call with no params - "Energy market today" → call with no params Get current prices for crude oil, Brent crude, and natural gas

07

get_gold_price

Gold is the primary precious metal benchmark traded globally. USE WHEN: - User asks specifically about gold price - User needs the gold benchmark price - User wants to check precious metals pricing - User asks "what is gold price" EXAMPLES: - "What is gold price?" → call with no params - "Current gold futures price" → call with no params - "Gold spot price today" → call with no params Get current gold futures price

08

get_natural_gas_price

Natural gas is a key energy commodity for heating and electricity generation. USE WHEN: - User asks about natural gas prices - User needs the natural gas benchmark - User wants to check energy pricing - User asks "what is natural gas price" EXAMPLES: - "What is natural gas price?" → call with no params - "Current natural gas futures" → call with no params - "Natural gas spot price today" → call with no params Get current natural gas futures price

09

get_precious_metals_prices

Perfect for tracking the precious metals market comprehensively. USE WHEN: - User asks about precious metals prices - User wants to see all precious metals at once - User needs to compare gold, silver, platinum, palladium - User asks "show me precious metals prices" EXAMPLES: - "What are precious metals prices?" → call with no params - "Show me gold, silver, platinum, palladium" → call with no params - "Precious metals market today" → call with no params Get current prices for gold, silver, platinum, and palladium

10

get_silver_price

Silver is the second most traded precious metal after gold. USE WHEN: - User asks specifically about silver price - User needs the silver benchmark price - User wants to compare gold vs silver ratio - User asks "what is silver price" EXAMPLES: - "What is silver price?" → call with no params - "Current silver futures price" → call with no params - "Silver spot price today" → call with no params Get current silver futures price

11

get_wheat_price

Wheat is a key agricultural commodity for global food security. USE WHEN: - User asks about wheat prices - User needs the grain benchmark - User wants to track agricultural commodities - User asks "what is wheat price" EXAMPLES: - "What is wheat price?" → call with no params - "Current wheat futures price" → call with no params - "Wheat spot price today" → call with no params Get current wheat futures price

12

list_all_commodities

USE WHEN: - User wants to explore what commodities are available - User needs to find commodity codes for querying prices - User is exploring the API capabilities for the first time - User asks what commodities are supported CATEGORIES: - Precious Metals: gold, silver, platinum, palladium (CME/NYMEX) - Energy: crude_oil, brent_crude_oil, natural_gas (NYMEX/CME) - Agriculture: wheat, corn, soybean, coffee, cocoa, sugar (CBOT/CME) - Livestock: live_cattle, feeder_cattle, lean_hogs (CME) - Industrial Metals: copper, aluminum (CME) EXAMPLES: - "What commodities are available?" → call with no params - "Show me all commodity codes" → call with no params - "List all commodity exchanges" → call with no params List all 30+ available commodities with their codes and exchanges

Example Prompts for Commodities in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Commodities immediately.

01

"What is the current price of gold?"

02

"Show me energy commodity prices — oil and natural gas."

03

"What are the current agriculture commodity prices for wheat, coffee, and cocoa?"

Troubleshooting Commodities MCP Server with CrewAI

Common issues when connecting Commodities to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Commodities + CrewAI FAQ

Common questions about integrating Commodities MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Connect Commodities to CrewAI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.