EIA Coal & Mining — Solid Fuels Intelligence MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add EIA Coal & Mining — Solid Fuels Intelligence as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to EIA Coal & Mining — Solid Fuels Intelligence. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in EIA Coal & Mining — Solid Fuels Intelligence?"
)
print(response)
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.
LlamaIndex agents combine EIA Coal & Mining — Solid Fuels Intelligence tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the EIA Coal & Mining — Solid Fuels Intelligence MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the EIA Coal & Mining — Solid Fuels Intelligence MCP Server
LlamaIndex provides unique advantages when paired with EIA Coal & Mining — Solid Fuels Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine EIA Coal & Mining — Solid Fuels Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain EIA Coal & Mining — Solid Fuels Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query EIA Coal & Mining — Solid Fuels Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what EIA Coal & Mining — Solid Fuels Intelligence tools were called, what data was returned, and how it influenced the final answer
EIA Coal & Mining — Solid Fuels Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the EIA Coal & Mining — Solid Fuels Intelligence MCP Server delivers measurable value.
Hybrid search: combine EIA Coal & Mining — Solid Fuels Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query EIA Coal & Mining — Solid Fuels Intelligence to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying EIA Coal & Mining — Solid Fuels Intelligence for fresh data
Analytical workflows: chain EIA Coal & Mining — Solid Fuels Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
EIA Coal & Mining — Solid Fuels Intelligence MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect EIA Coal & Mining — Solid Fuels Intelligence to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting EIA Coal & Mining — Solid Fuels Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEIA Coal & Mining — Solid Fuels Intelligence + LlamaIndex FAQ
Common questions about integrating EIA Coal & Mining — Solid Fuels Intelligence MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.