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 CrewAI 6 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to EIA Coal & Mining — Solid Fuels Intelligence through Vinkius, pass the Edge URL in the `mcps` parameter and every EIA Coal & Mining — Solid Fuels Intelligence tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="EIA Coal & Mining — Solid Fuels Intelligence Specialist",
    goal="Help users interact with EIA Coal & Mining — Solid Fuels Intelligence effectively",
    backstory=(
        "You are an expert at leveraging EIA Coal & Mining — Solid Fuels Intelligence tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in EIA Coal & Mining — Solid Fuels Intelligence "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

EIA Coal & Mining — Solid Fuels Intelligence

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High SecurityEnterprise-grade

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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.

When paired with CrewAI, EIA Coal & Mining — Solid Fuels Intelligence becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call EIA Coal & Mining — Solid Fuels Intelligence tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the EIA Coal & Mining — Solid Fuels Intelligence MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from EIA Coal & Mining — Solid Fuels Intelligence

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with EIA Coal & Mining — Solid Fuels Intelligence through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

EIA Coal & Mining — Solid Fuels Intelligence + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries EIA Coal & Mining — Solid Fuels Intelligence for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries EIA Coal & Mining — Solid Fuels Intelligence, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain EIA Coal & Mining — Solid Fuels Intelligence tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries EIA Coal & Mining — Solid Fuels Intelligence against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

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

These 6 tools become available when you connect EIA Coal & Mining — Solid Fuels Intelligence to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

EIA Coal & Mining — Solid Fuels Intelligence + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.