How to Use the EIA Coal & Mining — Solid Fuels Intelligence MCP in CrewAI

Q: How do I add EIA Coal & Mining — Solid Fuels Intelligence to my CrewAI setup?

Install crewaitools and pass the server URL directly into your agent's mcps array. For more control, import MCPServerHTTP from crewai.mcp and use toolfilter to restrict which agents access specific tools.

Deploy autonomous CrewAI agent teams to monitor U.S. coal production and market pricing.

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Connect EIA Coal & Mining — Solid Fuels Intelligence MCP to CrewAI

Create your Vinkius account to connect EIA Coal & Mining — Solid Fuels Intelligence to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup EIA Coal & Mining — Solid Fuels Intelligence with CrewAI

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CrewAI Market Analysis Teams

Assign a pricing analyst agent to monitor `get_coal_prices` while a trade specialist watches `get_coal_trade`. The pricing agent tracks bituminous and anthracite rates. The trade agent monitors import and export volumes. They share memory to spot market anomalies. You can configure these agents to run sequentially. The trade agent pulls the global export numbers first. Then, the pricing agent evaluates how those international movements affect domestic coal costs. The crew outputs a finalized market brief without human intervention.

Autonomous Mine Production Tracking

Give your supply chain agent access to `get_mine_production` to track individual operating mines. The tool returns exact extraction data from EIA-7A filings. Your agent can cross-reference this with `get_coal_production` to verify state-level totals. If a major mine reports a drop in output, a moderator agent can intervene. It can instruct the crew to recalculate supply forecasts. The MCP Server handles the data fetch, ensuring your agents react to physical supply changes instantly.

Evaluate Reserves and Fuel Quality

Set up a regulatory agent using `get_coal_quality`. This agent pulls sulfur, ash, and heat content metrics to ensure compliance with environmental standards. It flags any region producing coal that violates your specific thresholds. A long-term forecasting agent can use `get_coal_reserves` to check productive capacity and stockpiles. By combining quality checks with reserve data, your crew builds a complete picture of viable, compliant fuel sources for the next decade.

Setup guide

Set up EIA Coal & Mining — Solid Fuels Intelligence MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke EIA Coal & Mining — Solid Fuels Intelligence tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="EIA Coal & Mining — Solid Fuels Intelligence Analyst",
    goal="Access and analyze EIA Coal & Mining — Solid Fuels Intelligence data via MCP.",
    backstory="Expert analyst with direct EIA Coal & Mining — Solid Fuels Intelligence access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent EIA Coal & Mining — Solid Fuels Intelligence transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="EIA Coal & Mining — Solid Fuels Intelligence Analyst",
        goal="Access and analyze EIA Coal & Mining — Solid Fuels Intelligence data via MCP.",
        backstory="Expert analyst with direct EIA Coal & Mining — Solid Fuels Intelligence access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent EIA Coal & Mining — Solid Fuels Intelligence transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EIA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about EIA Coal & Mining — Solid Fuels Intelligence MCP in CrewAI

Install crewai[tools] and pass the server URL directly into your agent's mcps array. For more control, import MCPServerHTTP from crewai.mcp and use tool_filter to restrict which agents access specific tools.

Yes. You can assign the price tool to a financial agent and the production tool to a supply chain agent. They will fetch their respective data and share the findings in the crew's shared memory.

It does. A manager agent can delegate tasks to subordinate agents, asking one to check coal reserves and another to verify international trade volumes. The manager then compiles the final report.

The server supports stdio, SSE, and Streamable HTTP. You can run it locally for testing or connect to a remote instance for production deployments.

The MCP Server operates on a zero-trust model and only processes the specific arguments required to return EIA-7A extraction volumes. Your crew's internal dialogue, delegation logic, and memory remain completely isolated on your host machine.

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