How to Use the EIA State Energy — U.S. Regional Energy Data MCP in LlamaIndex
Index live U.S. regional energy metrics and nuclear outage reports directly into your LlamaIndex RAG applications.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EIA State Energy — U.S. Regional Energy Data MCP to LlamaIndex
Create your Vinkius account to connect EIA State Energy — U.S. Regional Energy Data to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index Real-Time Nuclear Outage Logs
`get_nuclear_outages` retrieves the latest status on U.S. nuclear reactor capacities. LlamaIndex reads this via our MCP setup and stores this dynamic output directly in your vector database, making live operational data searchable.
Build RAG Indexes on 65 Years of SEDS Data
`get_state_energy_data` delivers state-level production, consumption, and price histories dating back to 1960. LlamaIndex ingests these massive SEDS tables and creates semantic indexes for localized energy trends.
Query National CO2 and Fuel Stocks with this MCP Server
`get_total_energy` pulls the Monthly Energy Review aggregates, including national emissions and fuel stocks. This tool feeds raw numbers directly into your LlamaIndex document pipelines.
Set up EIA State Energy — U.S. Regional Energy Data MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all EIA State Energy — U.S. Regional Energy Data MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to EIA State Energy — U.S. Regional Energy Data tools.",
)
response = await agent.run("List recent EIA State Energy — U.S. Regional Energy Data data") 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 State Energy — U.S. Regional Energy Data MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the EIA State Energy — U.S. Regional Energy Data MCP today
We host it, we monitor it, we maintain it. You just paste one token.