How to Use the Electricity Maps Carbon Intelligence MCP in LlamaIndex

Q: How do I configure the Electricity Maps Carbon Intelligence with LlamaIndex?

Install llama-index-tools-mcp and set up a BasicMCPClient. Pass it to McpToolSpec and convert it using totoollistasync() for your FunctionAgent.

Q: Can LlamaIndex filter specific tools from the Electricity Maps Carbon Intelligence?

You use the allowedtools parameter to restrict your agent. If you only want it checking carbon intensity, you block the power breakdown tool during setup.

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Connect Electricity Maps Carbon Intelligence MCP to LlamaIndex

Create your Vinkius account to connect Electricity Maps Carbon Intelligence 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.

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Setup Electricity Maps Carbon Intelligence with LlamaIndex

Ask AI about this MCP

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Claude

Perplexity

Ground LlamaIndex in live emissions

The `get_carbon_intensity` tool retrieves the exact grams of CO2 equivalent per kilowatt-hour for any supported region. Your AI client pulls this live metric and embeds it alongside your static documentation. This kills hallucinations about sustainability metrics. When a user queries your RAG application about current carbon costs, the system answers using hard data fetched straight from the grid rather than outdated training weights.

Vectorize grid power sources

The `get_power_production_breakdown` tool pulls the exact megawatt split of wind, solar, nuclear, and fossil fuels powering a specific zone right now. LlamaIndex takes this raw JSON and indexes it for semantic search. You build applications where users can ask complex questions about regional energy mixes. The engine references the live breakdown, compares it against stored historical reports, and generates a fully cited response.

Query supported global regions

The `list_energy_zones` tool outputs the complete dictionary of valid grid territories that this MCP Server exposes. You feed this list into your vector store to define the geographic boundaries of your RAG system. Your agent knows exactly which areas it can analyze. If a user asks about a region outside the dataset, the system immediately recognizes the limitation instead of guessing.

Setup guide

Set up Electricity Maps Carbon Intelligence MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Electricity Maps Carbon Intelligence MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Electricity Maps Carbon Intelligence tools.",
)
response = await agent.run("List recent Electricity Maps Carbon Intelligence data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Electricity Maps. 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 Electricity Maps Carbon Intelligence MCP in LlamaIndex

Install `llama-index-tools-mcp` and set up a `BasicMCPClient`. Pass it to `McpToolSpec` and convert it using `to_tool_list_async()` for your FunctionAgent.

Yes. You can configure your agent to fetch grid data and immediately write the results into your vector store. This creates a searchable history of power production over time.

You use the `allowed_tools` parameter to restrict your agent. If you only want it checking carbon intensity, you block the power breakdown tool during setup.

The MCP protocol standardizes the tool schema automatically. You skip writing custom wrapper classes and parsing logic for the grid API, letting the agent handle the execution natively.

The server only processes geographic zone codes and public power grid statistics. It does not read your vector store, access your private documents, or transmit your RAG queries back to the provider.

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