How to Use the EIA Electricity — Power Grid Intelligence MCP in CrewAI

Q: Can I filter tools from EIA Electricity — Power Grid Intelligence for specific CrewAI agents?

Yes, use the toolfilter in your configuration to limit which agents can access which tools. This ensures your research agent only sees the tools it needs.

Deploy autonomous agent crews to monitor grid stability and energy markets using CrewAI.

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Connect EIA Electricity — Power Grid Intelligence MCP to CrewAI

Create your Vinkius account to connect EIA Electricity — Power Grid 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 Electricity — Power Grid Intelligence with CrewAI

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Multi-agent grid research

Assign a research agent to scrape market data using `get_electricity_prices`. The tool pulls from EIA-826 and EIA-861 to inform your crew's analysis. Other agents in your crew then consume this output to build reports. By sharing the tool's findings, the team works together to identify price trends without human input.

Automated state electricity profiling

Use `get_state_electricity_profiles` to provide your agents with deep regional context. The crew can then compare profiles across different states to spot anomalies. This gives your autonomous operations a massive data advantage. The agents act on the facts provided by the EIA surveys without needing you to feed them updates.

Sequential grid generation monitoring

Configure your crew to execute `get_plant_generation` in a specific sequence. The first agent gathers the data, and the second evaluates the heat rates. This setup automates your monitoring tasks entirely. It creates a robust loop where agents flag problematic plant performance based on raw EIA-923 data.

Setup guide

Set up EIA Electricity — Power Grid 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 Electricity — Power Grid Intelligence tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent EIA Electricity — Power Grid 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 →

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 Electricity — Power Grid Intelligence Analyst",
        goal="Access and analyze EIA Electricity — Power Grid Intelligence data via MCP.",
        backstory="Expert analyst with direct EIA Electricity — Power Grid Intelligence access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent EIA Electricity — Power Grid 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 →

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Common questions about EIA Electricity — Power Grid Intelligence MCP in CrewAI

You pass the server URL directly into your agent definition. CrewAI treats the tools as native capabilities, letting your agents call them whenever they need grid data.

Yes, use the `tool_filter` in your configuration to limit which agents can access which tools. This ensures your research agent only sees the tools it needs.

Since the server is a standard MCP implementation, your agents can share the data they retrieve in their memory buffers. This allows for collaborative analysis of the EIA datasets.

It provides six distinct tools covering demand, generation, and price data. This is more than enough for a crew to perform comprehensive grid monitoring.

The server uses a dedicated endpoint token that you provide during setup. All data traffic is ephemeral and strictly limited to the public energy reports from the EIA.

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