How to Use the EIA State Energy — U.S. Regional Energy Data MCP in AutoGen

Q: How do I register the EIA State Energy — U.S. Regional Energy Data tools in AutoGen?

Use the mcpservertools adapter to convert the schemas. Pass the resulting tool list to your AssistantAgent constructor to let your agents start querying.

Q: Can AutoGen agents resolve debates using EIA State Energy — U.S. Regional Energy Data?

Yes, agents call gettotalenergy and getstateenergydata to settle arguments. They use these objective federal statistics to reach a consensus on regional energy policies.

Run multi-agent debates on U.S. regional energy policies using live EIA data in AutoGen.

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Connect EIA State Energy — U.S. Regional Energy Data MCP to AutoGen

Create your Vinkius account to connect EIA State Energy — U.S. Regional Energy Data to AutoGen 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 State Energy — U.S. Regional Energy Data with AutoGen

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Debate Grid Reliability with Nuclear Outage Data

`get_nuclear_outages` exposes the latest nuclear reactor shutdowns and capacity drops. In AutoGen, your grid reliability agent uses this data to argue against a financial agent pushing for nuclear decommissioning.

Compare Regional SEDS Trends Across Agents

`get_state_energy_data` provides the historical baseline for state production, consumption, and pricing. Your policy agent pulls these SEDS metrics to challenge the assumptions of your environmental agent.

Audit National Emissions via an MCP Server

`get_total_energy` brings the Monthly Energy Review aggregates into your multi-agent conversation. A dedicated auditor agent checks these CO2 emission figures to verify if regional policies are meeting targets.

Setup guide

Set up EIA State Energy — U.S. Regional Energy Data MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes EIA State Energy — U.S. Regional Energy Data tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="EIA State Energy — U.S. Regional Energy Data_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent EIA State Energy — U.S. Regional Energy Data data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="EIA State Energy — U.S. Regional Energy Data_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent EIA State Energy — U.S. Regional Energy Data data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about EIA State Energy — U.S. Regional Energy Data MCP in AutoGen

Use the mcp_server_tools adapter to convert the schemas. Pass the resulting tool list to your AssistantAgent constructor to let your agents start querying.

Yes, agents call `get_total_energy` and `get_state_energy_data` to settle arguments. They use these objective federal statistics to reach a consensus on regional energy policies.

They connect via the Streamable HTTP transport configured in your Vinkius dashboard. The McpToolAdapter handles all the schema conversions behind the scenes.

Yes, you can split the tools among your agents. For example, give your grid safety agent `get_nuclear_outages` while giving your economist agent `get_state_energy_data`.

All SEDS queries and nuclear outage data pass through an isolated V8 sandbox on our MCP host. No data is stored, and your EIA API tokens are protected by enterprise-grade encryption.

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