Does this include nuclear data?

Yes! In addition to comprehensive coal data, this server includes EIA nuclear outage tracking for all U.S. commercial nuclear reactors. For nuclear generation data, see the Electricity server.

EIA Coal & Mining — Solid Fuels Intelligence MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: EIA Coal & Mining — Solid Fuels Intelligence
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect EIA Coal & Mining — Solid Fuels Intelligence through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Coal & Mining — Solid Fuels Intelligence "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in EIA Coal & Mining — Solid Fuels Intelligence?"
    )
    print(result.data)

asyncio.run(main())

EIA Coal & Mining — Solid Fuels Intelligence

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 EIA Coal & Mining — Solid Fuels Intelligence MCP Server

Deep intelligence on U.S. coal production and the solid fuels market.

Pydantic AI validates every EIA Coal & Mining — Solid Fuels Intelligence tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

Mine Production — Individual mine-level data: name, company, county, output, coal rank
Aggregate Production — National and state totals by mine type and rank
Market Prices — Sales prices by rank, region, and mine type
Coal Quality — Heat content (BTU/lb), sulfur (%), ash (%) by sector
International Trade — Exports/imports by country, rank, and customs district
Reserves — Recoverable reserves, productive capacity, and stocks
Nuclear Outages — Plant-level outage events for U.S. nuclear reactors

The EIA Coal & Mining — Solid Fuels Intelligence MCP Server exposes 6 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 Coal & Mining — Solid Fuels Intelligence to Pydantic AI via MCP

Follow these steps to integrate the EIA Coal & Mining — Solid Fuels 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 6 tools from EIA Coal & Mining — Solid Fuels Intelligence with type-safe schemas

Why Use Pydantic AI with the EIA Coal & Mining — Solid Fuels Intelligence MCP Server

Pydantic AI provides unique advantages when paired with EIA Coal & Mining — Solid Fuels 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 Coal & Mining — Solid Fuels 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 Coal & Mining — Solid Fuels Intelligence connection logic from agent behavior for testable, maintainable code

EIA Coal & Mining — Solid Fuels Intelligence + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the EIA Coal & Mining — Solid Fuels Intelligence MCP Server delivers measurable value.

Type-safe data pipelines: query EIA Coal & Mining — Solid Fuels Intelligence with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple EIA Coal & Mining — Solid Fuels 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 Coal & Mining — Solid Fuels Intelligence and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock EIA Coal & Mining — Solid Fuels Intelligence responses and write comprehensive agent tests

EIA Coal & Mining — Solid Fuels Intelligence MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect EIA Coal & Mining — Solid Fuels Intelligence to Pydantic AI via MCP:

get_coal_prices

Also includes price-by-rank breakdown for bituminous, subbituminous, lignite, and anthracite. Get coal market prices by rank, region, and mine type

get_coal_production

Get coal production by state, mine type, and rank

get_coal_quality

Get coal consumption and quality data: heat content, sulfur, ash

get_coal_reserves

Get coal reserves, productive capacity, and stocks

get_coal_trade

Get coal imports and exports by country, quantity, and price

get_mine_production

Source: EIA-7A and MSHA-7000-2. Get individual mine-level coal production data

Example Prompts for EIA Coal & Mining — Solid Fuels Intelligence in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with EIA Coal & Mining — Solid Fuels Intelligence immediately.

"What are the largest coal mines in the U.S.?"

"What is the current price of bituminous coal?"

"Are there any nuclear plant outages right now?"

Troubleshooting EIA Coal & Mining — Solid Fuels Intelligence MCP Server with Pydantic AI

Common issues when connecting EIA Coal & Mining — Solid Fuels Intelligence to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

EIA Coal & Mining — Solid Fuels Intelligence + Pydantic AI FAQ

Common questions about integrating EIA Coal & Mining — Solid Fuels Intelligence MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your EIA Coal & Mining — Solid Fuels Intelligence MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.