Commodities MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Commodities through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"commodities": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Commodities, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Commodities through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Commodities MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Commodities via MCP
Why Use LangChain with the Commodities MCP Server
LangChain provides unique advantages when paired with Commodities through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Commodities MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Commodities queries for multi-turn workflows
Commodities + LangChain Use Cases
Practical scenarios where LangChain combined with the Commodities MCP Server delivers measurable value.
RAG with live data: combine Commodities tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Commodities, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Commodities tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Commodities tool call, measure latency, and optimize your agent's performance
Commodities MCP Tools for LangChain (12)
These 12 tools become available when you connect Commodities to LangChain via MCP:
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
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
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
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
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
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
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
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
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
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
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
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 LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Commodities immediately.
"What is the current price of gold?"
"Show me energy commodity prices — oil and natural gas."
"What are the current agriculture commodity prices for wheat, coffee, and cocoa?"
Troubleshooting Commodities MCP Server with LangChain
Common issues when connecting Commodities to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCommodities + LangChain FAQ
Common questions about integrating Commodities MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Commodities with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Commodities to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.