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S&P Global Commodity Insights MCP Server for CrewAI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to S&P Global Commodity Insights through Vinkius, pass the Edge URL in the `mcps` parameter and every S&P Global Commodity Insights 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="S&P Global Commodity Insights Specialist",
    goal="Help users interact with S&P Global Commodity Insights effectively",
    backstory=(
        "You are an expert at leveraging S&P Global Commodity Insights 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 S&P Global Commodity Insights "
        "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)
S&P Global Commodity Insights
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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 S&P Global Commodity Insights MCP Server

Connect to S&P Global Commodity Insights API and bring world-class commodity intelligence to any AI agent. Access over 12,000 daily price assessments from Platts, the industry-standard benchmark for global commodity trading.

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

What you can do

  • Crude Oil Prices — Retrieve daily price assessments for WTI, Brent, Dubai, Mars, WCS and hundreds of crude grades worldwide
  • Natural Gas — Access Henry Hub, TTF, NBP, JKM and other major gas hub benchmarks with spot and forward prices
  • Electric Power — Query wholesale electricity prices for PJM, ERCOT, CAISO, European and Asia-Pacific power markets
  • Coal — Monitor Newcastle, API2, API4 and regional thermal/metallurgical coal benchmarks
  • Refined Products — Track gasoline (RBOB, Eurobob), diesel (ULSD, Gasoil), jet fuel and fuel oil prices globally
  • Petrochemicals — Get ethylene, propylene, benzene, toluene and other chemical feedstock prices
  • Metals — Access base metals (copper, aluminum, zinc), precious metals (gold, silver) and steel/iron ore benchmarks
  • Agriculture — Query wheat, corn, soybeans, fertilizers (urea, DAP, potash) and other agricultural commodities
  • Energy Transition — Monitor carbon credits (EUA, RINs), battery metals (lithium, cobalt), RECs and green hydrogen assessments
  • Historical Analysis — Fetch historical price data with flexible date ranges for trend analysis and backtesting
  • Methodology Access — Retrieve specification documents and calculation methods for any price assessment
  • Category Exploration — Browse the complete commodity catalog to discover available benchmarks

The S&P Global Commodity Insights 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 S&P Global Commodity Insights to CrewAI via MCP

Follow these steps to integrate the S&P Global Commodity Insights 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 S&P Global Commodity Insights

Why Use CrewAI with the S&P Global Commodity Insights MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with S&P Global Commodity Insights 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 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

S&P Global Commodity Insights + CrewAI Use Cases

Practical scenarios where CrewAI combined with the S&P Global Commodity Insights MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries S&P Global Commodity Insights 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 S&P Global Commodity Insights, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain S&P Global Commodity Insights 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 S&P Global Commodity Insights against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

S&P Global Commodity Insights MCP Tools for CrewAI (12)

These 12 tools become available when you connect S&P Global Commodity Insights to CrewAI via MCP:

01

get_agriculture_prices

USE WHEN: - User asks about agriculture commodity prices - User needs wheat, corn, soybean, or other crop prices - User wants agricultural market benchmarks - User asks about food commodity pricing AVAILABLE COMMODITIES: - Wheat, Corn, Soybeans, Soybean Meal/Oil - Rice, Barley, Oats - Fertilizers (Urea, DAP, Potash) PARAMETERS: - date (OPTIONAL): Specific date (YYYY-MM-DD) - commodity (OPTIONAL): Specific commodity (e.g. "Wheat", "Corn") - region (OPTIONAL): Region of origin/destination EXAMPLES: - "Wheat prices today" → call with commodity="Wheat" - "Corn prices this week" → call with commodity="Corn" - "Urea fertilizer prices" → call with commodity="Urea" Get agriculture commodity price assessments from S&P Global Platts

02

get_assessment_methodology

USE WHEN: - User asks about how a specific price is calculated - User needs the methodology behind a benchmark - User wants specification details for an assessment - User asks about market conventions for a commodity PARAMETERS: - assessment_code (REQUIRED): Assessment code or symbol (e.g. "WTI_Cushing", "Henry_Hub") EXAMPLES: - "How is WTI Cushing price calculated?" → call with assessment_code="WTI_Cushing" - "Henry Hub methodology" → call with assessment_code="Henry_Hub" - "Brent assessment specifications" → call with assessment_code="Brent" Get methodology and metadata for a specific price assessment

03

get_coal_prices

USE WHEN: - User asks about coal prices - User needs Newcastle, API2, or other coal benchmark prices - User wants thermal or metallurgical coal market data - User asks about coal market trends AVAILABLE BENCHMARKS: - Newcastle (Australia), API2 (Rotterdam) - API4 (Richards Bay), Columbian FOB - Various regional thermal and coking coal prices PARAMETERS: - date (OPTIONAL): Specific date (YYYY-MM-DD) - type (OPTIONAL): Coal type ("thermal" or "metallurgical") - benchmark (OPTIONAL): Specific benchmark (e.g. "Newcastle", "API2") EXAMPLES: - "Newcastle coal price today" → call with benchmark="Newcastle" - "Thermal coal prices this week" → call with type="thermal" - "API2 Rotterdam coal prices" → call with benchmark="API2" Get coal price assessments from S&P Global Platts

04

get_crude_oil_prices

Includes spot and forward prices for major crude grades. USE WHEN: - User asks about crude oil prices or benchmarks - User needs WTI, Brent, Dubai, or other crude grade prices - User wants historical or current oil price assessments - User asks about oil market pricing AVAILABLE CRUDE GRADES: - WTI (West Texas Intermediate), Brent, Dubai/Oman - Mars, LLS, WCS, Forties, and many regional grades PARAMETERS: - date (OPTIONAL): Specific date for assessment (YYYY-MM-DD format, defaults to latest) - region (OPTIONAL): Filter by region (e.g. "US", "Middle East", "North Sea") - grade (OPTIONAL): Specific crude grade (e.g. "WTI", "Brent") EXAMPLES: - "What is current WTI crude oil price?" → call with grade="WTI" - "Brent oil prices this week" → call with grade="Brent", date="2026-04-07" - "Middle East crude assessments" → call with region="Middle East" Get crude oil price assessments from S&P Global Platts

05

get_energy_transition_data

USE WHEN: - User asks about renewable energy prices or markets - User needs carbon credit or EUA (EU Allowance) prices - User wants battery metal assessments (lithium, cobalt) - User asks about energy transition or sustainability metrics AVAILABLE DATA: - Carbon credits (EUA, RINs, LCFS) - Battery metals (Lithium, Cobalt, Graphite) - Renewable energy certificates (RECs) - Green hydrogen assessments PARAMETERS: - date (OPTIONAL): Specific date (YYYY-MM-DD) - category (OPTIONAL): Category (e.g. "carbon", "battery_metals", "renewables") EXAMPLES: - "Carbon credit prices today" → call with category="carbon" - "Lithium prices for batteries" → call with category="battery_metals" - "EU Allowance (EUA) prices" → call with category="carbon" Get energy transition market data and assessments

06

get_historical_commodity_prices

Essential for trend analysis, backtesting, and market research. USE WHEN: - User asks about historical price trends - User needs price data over a specific time period - User wants to compare prices across dates - User asks for weekly, monthly, or yearly price history PARAMETERS: - commodity (REQUIRED): Commodity identifier (e.g. "crude-oil", "natural-gas", "coal") - start_date (REQUIRED): Start date (YYYY-MM-DD) - end_date (OPTIONAL): End date (YYYY-MM-DD, defaults to today) - frequency (OPTIONAL): Data frequency ("daily", "weekly", "monthly") EXAMPLES: - "WTI oil prices for last 30 days" → call with commodity="crude-oil", start_date="2026-03-08" - "Natural gas prices this month" → call with commodity="natural-gas", start_date="2026-04-01" - "Coal price history last quarter" → call with commodity="coal", start_date="2026-01-01", end_date="2026-03-31" Get historical price data for a specific commodity with date range

07

get_metals_prices

USE WHEN: - User asks about metal prices - User needs copper, aluminum, zinc, or other base metal prices - User wants steel or iron ore benchmarks - User asks about precious metals (gold, silver) AVAILABLE METALS: - Base: Copper, Aluminum, Zinc, Nickel, Lead - Precious: Gold, Silver, Platinum - Steel, Iron Ore, Tin PARAMETERS: - date (OPTIONAL): Specific date (YYYY-MM-DD) - metal (OPTIONAL): Specific metal (e.g. "Copper", "Aluminum") - exchange (OPTIONAL): Exchange reference (e.g. "LME", "COMEX") EXAMPLES: - "Copper price today" → call with metal="Copper" - "LME aluminum prices" → call with metal="Aluminum", exchange="LME" - "Gold price assessment" → call with metal="Gold" Get metals price assessments from S&P Global Platts

08

get_natural_gas_prices

USE WHEN: - User asks about natural gas prices - User needs Henry Hub, NBP, TTF, or other gas hub prices - User wants gas market pricing by region or hub - User asks about LNG prices AVAILABLE HUBS/INDICES: - Henry Hub (US), NBP (UK), TTF (Netherlands) - JKM (Japan/Korea Marker), Alberta (Canada) - And many regional hubs globally PARAMETERS: - date (OPTIONAL): Specific date (YYYY-MM-DD) - region (OPTIONAL): Region filter (e.g. "US", "Europe", "Asia") - hub (OPTIONAL): Specific hub (e.g. "Henry Hub", "TTF") EXAMPLES: - "Current Henry Hub natural gas price" → call with hub="Henry Hub" - "European gas prices today" → call with region="Europe", date="2026-04-07" - "JKM LNG prices this week" → call with hub="JKM" Get natural gas price assessments from S&P Global Platts

09

get_petrochemicals_prices

USE WHEN: - User asks about petrochemical or chemical prices - User needs ethylene, propylene, benzene, or other chemical prices - User wants petrochemical feedstock pricing - User asks about chemical market benchmarks AVAILABLE CHEMICALS: - Ethylene, Propylene, Benzene, Toluene - Xylene, Butadiene, Methanol - Various polymer and derivative prices PARAMETERS: - date (OPTIONAL): Specific date (YYYY-MM-DD) - region (OPTIONAL): Region (e.g. "US", "Europe", "Asia") - chemical (OPTIONAL): Specific chemical name EXAMPLES: - "Ethylene prices today" → call with chemical="Ethylene" - "Asian petrochemical prices this week" → call with region="Asia" - "Benzene price assessments" → call with chemical="Benzene" Get petrochemicals price assessments from S&P Global Platts

10

get_power_prices

USE WHEN: - User asks about electricity or power prices - User needs wholesale power market prices - User wants regional electricity benchmarks - User asks about power trading hubs AVAILABLE MARKETS: - US regions (PJM, ERCOT, CAISO, NYISO, etc.) - European power markets (EPEX, Nord Pool) - Asia-Pacific power benchmarks PARAMETERS: - date (OPTIONAL): Specific date (YYYY-MM-DD) - region (OPTIONAL): Region or market (e.g. "PJM", "ERCOT", "CAISO") - hub (OPTIONAL): Specific trading hub EXAMPLES: - "PJM electricity prices today" → call with region="PJM", date="2026-04-07" - "ERCOT power prices for Texas" → call with region="ERCOT" - "European power prices this week" → call with region="Europe" Get electric power price assessments from S&P Global Platts

11

get_refined_products_prices

USE WHEN: - User asks about gasoline, diesel, or jet fuel prices - User needs refined product benchmarks (ULSD, RBOB) - User wants fuel oil or lubricant prices - User asks about refined product markets AVAILABLE PRODUCTS: - Gasoline (RBOB, Eurobob), Diesel (ULSD, Gasoil) - Jet Fuel, Fuel Oil, Naphtha - Lubricants, Bitumen, LPG PARAMETERS: - date (OPTIONAL): Specific date (YYYY-MM-DD) - product (OPTIONAL): Specific product (e.g. "Diesel", "Gasoline") - region (OPTIONAL): Region (e.g. "US", "Europe", "Singapore") EXAMPLES: - "Diesel prices today" → call with product="Diesel" - "RBOB gasoline prices" → call with product="Gasoline" - "Singapore jet fuel prices" → call with product="Jet Fuel", region="Singapore" Get refined petroleum products price assessments

12

list_commodity_categories

USE WHEN: - User wants to explore what commodity categories are available - User needs to understand the scope of price assessments - User is exploring the API capabilities for the first time - User asks what types of commodities are covered CATEGORIES INCLUDE: - Crude Oil, Natural Gas, Electric Power, Coal - Petrochemicals, Metals, Agriculture - Energy Transition, Refined Products EXAMPLES: - "What commodity categories are available?" → call with no params - "Show me all commodity types" → call with no params - "List all price assessment categories" → call with no params List all available commodity categories in S&P Global Commodity Insights

Example Prompts for S&P Global Commodity Insights in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with S&P Global Commodity Insights immediately.

01

"What is the current WTI crude oil price?"

02

"Show me natural gas prices at Henry Hub and TTF for today."

03

"What are current carbon credit prices (EUA)?"

Troubleshooting S&P Global Commodity Insights MCP Server with CrewAI

Common issues when connecting S&P Global Commodity Insights 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

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

S&P Global Commodity Insights + CrewAI FAQ

Common questions about integrating S&P Global Commodity Insights 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 S&P Global Commodity Insights to CrewAI

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