How to Use the EIA Full Access — U.S. Energy Intelligence MCP in AutoGen

Q: How do I connect the EIA Full Access — U.S. Energy Intelligence server to my AutoGen agents?

You use the autogen-extmcp extension to import the tools. By passing the Vinkius server URL to the StreamableHttpServerParams, AutoGen automatically maps the 34 tool schemas into the format expected by your AssistantAgent.

Let your AutoGen agents debate grid demand and trade balances using live, verified federal energy metrics.

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Connect EIA Full Access — U.S. Energy Intelligence MCP to AutoGen

Create your Vinkius account to connect EIA Full Access — U.S. Energy Intelligence 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 Full Access — U.S. Energy Intelligence with AutoGen

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Power AutoGen energy debates with real-time grid data

This MCP Server equips your AutoGen agents with the exact data needed to resolve complex energy market simulations. You can set up a conversation where a grid analyst agent pulls live load metrics via `get_grid_demand` while a pricing agent queries `get_natgas_prices` to debate the financial impact of a heatwave. Instead of relying on single-agent assumptions, AutoGen's conversational framework forces agents to cross-reference their findings. They can compare storage deficits from `get_natgas_storage` against production rates from `get_natgas_production` to reach a verified consensus on market direction.

Coordinate fuel supply chains using dedicated agent roles

The EIA Full Access MCP server provides 34 distinct tools that can be distributed across specialized AutoGen agents. You can assign petroleum tools like `get_refinery_operations` and `get_crude_imports` to a supply-chain agent, while a policy agent monitors environmental metrics and emission forecasts through `get_annual_outlook`. This division of labor prevents token overload and keeps agent prompts focused. The agents talk to each other, passing key metrics like weekly stock changes from `get_petroleum_summary` to negotiate and refine their final supply chain recommendations.

Automate regional resource analysis with AutoGen loops

This toolset allows your agent clusters to run deep, automated audits of state-level energy infrastructure without human intervention. By combining `get_state_energy_data`, `get_generator_inventory`, and `get_nuclear_outages`, your agents can map out regional grid vulnerabilities during peak seasons. One agent can flag offline reactors while another calculates the replacement power cost using `get_electricity_prices`. The entire process runs autonomously within AutoGen's conversation loop, producing a detailed risk report based on actual federal operating data.

Setup guide

Set up EIA Full Access — U.S. Energy Intelligence 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 Full Access — U.S. Energy Intelligence 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 Full Access — U.S. Energy Intelligence_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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 Full Access — U.S. Energy Intelligence_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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Common questions about EIA Full Access — U.S. Energy Intelligence MCP in AutoGen

You use the `autogen-ext[mcp]` extension to import the tools. By passing the Vinkius server URL to the `StreamableHttpServerParams`, AutoGen automatically maps the 34 tool schemas into the format expected by your `AssistantAgent`.

Yes. The hosted server on Vinkius is designed to handle parallel requests. If your trading agent calls `get_petroleum_prices` while your logistics agent queries `get_petroleum_trade`, the server processes both requests concurrently without bottlenecking your conversation.

The adapter in AutoGen translates the schemas cleanly. If an agent passes incorrect parameters to a tool like `get_coal_trade`, the server returns a structured error, allowing the agent to self-correct and re-run the query in the next turn of the conversation.

Yes. You can register the tools with a shared group chat manager, allowing any agent in the discussion to pull data like `get_short_term_outlook` or `get_plant_generation` when their specific expertise is needed.

All API authorization tokens and specific query filters—such as fuel ranks, plant IDs, and state profiles—are processed in an isolated, secure V8 sandbox. Vinkius does not store or inspect your transaction payloads, ensuring your proprietary agent strategies remain private.

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