Commodities MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Commodities through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Commodities "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Commodities?"
)
print(result.data)
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.
Pydantic AI validates every Commodities tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Commodities MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Commodities with type-safe schemas
Why Use Pydantic AI with the Commodities MCP Server
Pydantic AI provides unique advantages when paired with Commodities through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Commodities integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Commodities connection logic from agent behavior for testable, maintainable code
Commodities + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Commodities MCP Server delivers measurable value.
Type-safe data pipelines: query Commodities with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Commodities tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Commodities and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Commodities responses and write comprehensive agent tests
Commodities MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Commodities to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Commodities to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCommodities + Pydantic AI FAQ
Common questions about integrating Commodities MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.