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OilPrice MCP Server for CrewAI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to OilPrice through Vinkius, pass the Edge URL in the `mcps` parameter and every OilPrice 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="OilPrice Specialist",
    goal="Help users interact with OilPrice effectively",
    backstory=(
        "You are an expert at leveraging OilPrice 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 OilPrice "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

Connect to OilPriceAPI and bring real-time energy commodity intelligence to any AI agent. Access 50+ energy commodities with prices updated every 5 minutes.

When paired with CrewAI, OilPrice becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call OilPrice 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

  • WTI Crude Oil — Get current and historical West Texas Intermediate crude prices, the primary US oil benchmark
  • Brent Crude — Track international crude oil prices, the global benchmark for oil trading
  • Natural Gas — Monitor Henry Hub natural gas prices updated every 5 minutes
  • Refined Products — Access diesel, gasoline, heating oil, and jet fuel prices
  • Coal — Track Newcastle thermal coal benchmarks
  • Latest Prices — Fetch current spot prices for any or all commodities
  • Intraday Data — Analyze hourly price movements over the last 24 hours
  • Weekly Trends — Review daily prices for the last 7 days
  • Monthly Analysis — Examine daily prices for the last 30 days
  • Historical Data — Query custom date ranges for long-term trend analysis (paid tier)
  • Commodity Catalog — Explore all 50+ available energy commodities and their codes

The OilPrice MCP Server exposes 10 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 OilPrice to CrewAI via MCP

Follow these steps to integrate the OilPrice 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 10 tools from OilPrice

Why Use CrewAI with the OilPrice MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with OilPrice 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

OilPrice + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries OilPrice 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 OilPrice, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain OilPrice 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 OilPrice against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

OilPrice MCP Tools for CrewAI (10)

These 10 tools become available when you connect OilPrice to CrewAI via MCP:

01

get_brent_price

Prices update every 5 minutes. USE WHEN: - User asks specifically about Brent oil price - User needs the international crude oil benchmark - User wants to check European/global oil prices - User asks "what is Brent price" EXAMPLES: - "What is Brent price?" → call with no params - "Current Brent crude oil price" → call with no params - "Brent oil benchmark" → call with no params Get current Brent crude oil price

02

get_diesel_price

Important for tracking transportation fuel costs and refined product margins. USE WHEN: - User asks about diesel fuel prices - User needs refined product pricing - User wants to track diesel vs crude crack spreads - User asks "what is diesel price" EXAMPLES: - "What is diesel price?" → call with no params - "Current ULSD diesel price" → call with no params - "US diesel fuel cost" → call with no params Get current US Diesel (Ultra Low Sulfur) price

03

get_historical_prices

Requires a paid OilPriceAPI subscription. USE WHEN: - User asks about historical oil prices for a specific period - User wants long-term trend analysis or backtesting - User asks for prices from specific dates EXAMPLES: - "WTI prices for Q1 2026" → commodity_code="WTI_USD", start_date="2026-01-01", end_date="2026-03-31" - "Brent crude last year" → commodity_code="BRENT_CRUDE_USD", start_date="2025-01-01", end_date="2025-12-31" Get historical price data for a custom date range

04

get_latest_prices

Prices are updated every 5 minutes for oil, gas, and refined products. USE WHEN: - User asks about current oil prices - User needs the latest commodity prices - User wants to check current WTI or Brent prices - User asks what is the price of oil/gas/coal right now PARAMETERS: - commodity_code (OPTIONAL): Specific commodity code (e.g. "WTI_USD", "BRENT_CRUDE_USD") EXAMPLES: - "What is current oil price?" → call with commodity_code="WTI_USD" - "Latest Brent crude price" → call with commodity_code="BRENT_CRUDE_USD" - "Show all latest energy prices" → call with no params Get the latest spot prices for energy commodities

05

get_natural_gas_price

Prices update every 5 minutes. USE WHEN: - User asks about natural gas prices - User needs the US natural gas benchmark - User wants to check Henry Hub prices - User asks "what is natural gas price" EXAMPLES: - "What is natural gas price?" → call with no params - "Current Henry Hub gas price" → call with no params - "US natural gas benchmark" → call with no params Get current US Natural Gas (Henry Hub) price

06

get_past_day_prices

Perfect for tracking intraday price movements and volatility. USE WHEN: - User asks about oil price movements today - User needs hourly price data for the last day - User wants to track intraday volatility - User asks how prices changed in the last 24 hours PARAMETERS: - commodity_code (OPTIONAL): Specific commodity code EXAMPLES: - "Show WTI price movements today" → call with commodity_code="WTI_USD" - "Hourly natural gas prices last 24h" → call with commodity_code="NATURAL_GAS_USD" - "Brent crude intraday prices" → call with commodity_code="BRENT_CRUDE_USD" Get hourly prices data for the last 24 hours

07

get_past_month_prices

Great for monthly trend analysis and medium-term price tracking. USE WHEN: - User asks about oil price trends this month - User needs daily prices for the last 30 days - User wants to track monthly price movements - User asks how prices changed over the past month PARAMETERS: - commodity_code (OPTIONAL): Specific commodity code EXAMPLES: - "WTI price trends this month" → call with commodity_code="WTI_USD" - "Monthly natural gas prices" → call with commodity_code="NATURAL_GAS_USD" - "Brent crude last 30 days" → call with commodity_code="BRENT_CRUDE_USD" Get daily price data for the last 30 days

08

get_past_week_prices

Ideal for weekly trend analysis and short-term price tracking. USE WHEN: - User asks about oil price trends this week - User needs daily prices for the last week - User wants to track weekly price movements - User asks how prices changed over the past week PARAMETERS: - commodity_code (OPTIONAL): Specific commodity code EXAMPLES: - "WTI price trends this week" → call with commodity_code="WTI_USD" - "Weekly natural gas prices" → call with commodity_code="NATURAL_GAS_USD" - "Brent crude last 7 days" → call with commodity_code="BRENT_CRUDE_USD" Get daily price data for the last 7 days

09

get_wti_price

Prices update every 5 minutes. USE WHEN: - User asks specifically about WTI oil price - User needs the US crude oil benchmark - User wants to check American oil prices - User asks "what is WTI price" EXAMPLES: - "What is WTI price?" → call with no params - "Current WTI crude oil price" → call with no params - "West Texas Intermediate price" → call with no params Get current WTI (West Texas Intermediate) crude oil price

10

list_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 energy commodities are supported AVAILABLE COMMODITY TYPES: - Crude Oil: WTI_USD, BRENT_CRUDE_USD - Refined Products: DIESEL_USD, GASOLINE_USD, HEATING_OIL_USD, JET_FUEL_USD - Natural Gas: NATURAL_GAS_USD - Coal: COAL_USD - And 40+ more energy commodities EXAMPLES: - "What commodities are available?" → call with no params - "Show me all commodity codes" → call with no params - "List all energy products" → call with no params List all available energy commodities in OilPriceAPI

Example Prompts for OilPrice in CrewAI

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

01

"What is the current price of WTI crude oil?"

02

"Show me natural gas prices for the last week."

03

"Compare WTI and Brent crude prices today."

Troubleshooting OilPrice MCP Server with CrewAI

Common issues when connecting OilPrice 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.

OilPrice + CrewAI FAQ

Common questions about integrating OilPrice 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 OilPrice to CrewAI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.