EIA Coal & Mining — Solid Fuels Intelligence MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect EIA Coal & Mining — Solid Fuels Intelligence 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({
"eia-coal-mining-solid-fuels-intelligence": {
"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 EIA Coal & Mining — Solid Fuels Intelligence, 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 EIA Coal & Mining — Solid Fuels Intelligence MCP Server
Deep intelligence on U.S. coal production and the solid fuels market.
LangChain's ecosystem of 500+ components combines seamlessly with EIA Coal & Mining — Solid Fuels Intelligence through native MCP adapters. Connect 6 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
- 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 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 EIA Coal & Mining — Solid Fuels Intelligence to LangChain via MCP
Follow these steps to integrate the EIA Coal & Mining — Solid Fuels Intelligence 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 6 tools from EIA Coal & Mining — Solid Fuels Intelligence via MCP
Why Use LangChain with the EIA Coal & Mining — Solid Fuels Intelligence MCP Server
LangChain provides unique advantages when paired with EIA Coal & Mining — Solid Fuels Intelligence through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine EIA Coal & Mining — Solid Fuels Intelligence 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 EIA Coal & Mining — Solid Fuels Intelligence queries for multi-turn workflows
EIA Coal & Mining — Solid Fuels Intelligence + LangChain Use Cases
Practical scenarios where LangChain combined with the EIA Coal & Mining — Solid Fuels Intelligence MCP Server delivers measurable value.
RAG with live data: combine EIA Coal & Mining — Solid Fuels Intelligence tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query EIA Coal & Mining — Solid Fuels Intelligence, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain EIA Coal & Mining — Solid Fuels Intelligence tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every EIA Coal & Mining — Solid Fuels Intelligence tool call, measure latency, and optimize your agent's performance
EIA Coal & Mining — Solid Fuels Intelligence MCP Tools for LangChain (6)
These 6 tools become available when you connect EIA Coal & Mining — Solid Fuels Intelligence to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting EIA Coal & Mining — Solid Fuels Intelligence to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersEIA Coal & Mining — Solid Fuels Intelligence + LangChain FAQ
Common questions about integrating EIA Coal & Mining — Solid Fuels Intelligence 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 EIA Coal & Mining — Solid Fuels 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 Coal & Mining — Solid Fuels Intelligence to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.