EIA Petroleum — Oil Market Intelligence MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect EIA Petroleum — Oil Market Intelligence through the 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 EIA Petroleum — Oil Market Intelligence "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in EIA Petroleum — Oil Market Intelligence?"
)
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 EIA Petroleum — Oil Market Intelligence MCP Server
Connect your AI agent to the heart of the global oil market. EIA Petroleum provides authoritative data from the world's most-watched energy agency.
Pydantic AI validates every EIA Petroleum — Oil Market Intelligence tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the 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
- Crude Oil Prices — WTI Cushing and Brent spot prices, historical and current
- Retail Fuel Prices — Gasoline and diesel at the pump, by region and grade
- U.S. Production — Crude oil production by state and PAD district
- Refinery Operations — Capacity utilization, inputs, and product yields
- Petroleum Trade — Imports/exports by country, pipeline and tanker movements
- Stocks — Commercial crude and product stocks + Strategic Petroleum Reserve (SPR)
- Consumption — Product supplied by type and sector
- Crude Imports — Company-level imports by country, API gravity, sulfur content
The EIA Petroleum — Oil Market Intelligence MCP Server exposes 8 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 EIA Petroleum — Oil Market Intelligence to Pydantic AI via MCP
Follow these steps to integrate the EIA Petroleum — Oil Market Intelligence 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 8 tools from EIA Petroleum — Oil Market Intelligence with type-safe schemas
Why Use Pydantic AI with the EIA Petroleum — Oil Market Intelligence MCP Server
Pydantic AI provides unique advantages when paired with EIA Petroleum — Oil Market Intelligence 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 EIA Petroleum — Oil Market Intelligence integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your EIA Petroleum — Oil Market Intelligence connection logic from agent behavior for testable, maintainable code
EIA Petroleum — Oil Market Intelligence + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the EIA Petroleum — Oil Market Intelligence MCP Server delivers measurable value.
Type-safe data pipelines: query EIA Petroleum — Oil Market Intelligence with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple EIA Petroleum — Oil Market Intelligence tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query EIA Petroleum — Oil Market Intelligence and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock EIA Petroleum — Oil Market Intelligence responses and write comprehensive agent tests
EIA Petroleum — Oil Market Intelligence MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect EIA Petroleum — Oil Market Intelligence to Pydantic AI via MCP:
get_crude_imports
Source: EIA-814. Get crude oil imports by country, company, type, and grade
get_crude_production
Get U.S. crude oil production and reserves data
get_petroleum_consumption
Get petroleum consumption and sales by product and sector
get_petroleum_prices
Filter by product, area, and frequency. Get petroleum product prices: WTI, Brent, gasoline, diesel, heating oil
get_petroleum_stocks
Get petroleum stocks: commercial + Strategic Petroleum Reserve
get_petroleum_summary
S. petroleum supply/demand balance including production, imports, exports, stocks, and consumption. The weekly petroleum status report data. Get petroleum supply and demand balance
get_petroleum_trade
Get petroleum imports, exports, and movements
get_refinery_operations
Get refinery capacity, utilization, and processing data
Example Prompts for EIA Petroleum — Oil Market Intelligence in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with EIA Petroleum — Oil Market Intelligence immediately.
"What is the current WTI crude oil price?"
"How much crude oil does the U.S. import from Saudi Arabia?"
"What is the current level of the Strategic Petroleum Reserve?"
Troubleshooting EIA Petroleum — Oil Market Intelligence MCP Server with Pydantic AI
Common issues when connecting EIA Petroleum — Oil Market Intelligence to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEIA Petroleum — Oil Market Intelligence + Pydantic AI FAQ
Common questions about integrating EIA Petroleum — Oil Market Intelligence 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 EIA Petroleum — Oil Market Intelligence 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 EIA Petroleum — Oil Market Intelligence to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.