How to Use the Electricity Maps Carbon Intelligence MCP in Pydantic AI

Q: How do I attach Electricity Maps Carbon Intelligence to Pydantic AI?

Import MCPToolset and initialize it with your Vinkius HTTP URL. Assign that object to the toolsets parameter when defining your agent instance.

Force strict runtime validation on live grid emissions data using Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Electricity Maps Carbon Intelligence MCP to Pydantic AI

Create your Vinkius account to connect Electricity Maps Carbon Intelligence to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Electricity Maps Carbon Intelligence with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate carbon metrics with Pydantic AI

This MCP Server exposes the `get_carbon_intensity` tool to force real-time grid data into your strictly typed Python applications. When your agent requests the emissions rating for a specific zone, the server returns the exact carbon weight per kilowatt-hour. Bad data crashes pipelines. This framework guarantees that if the upstream API suddenly changes its response format, your agent fails loudly with a validation error. You never have to worry about a hallucinated string silently corrupting your carbon accounting database.

Parse power generation profiles

Agents execute the `get_power_production_breakdown` tool to extract the exact mix of energy sources feeding a region. The output explicitly separates out the current percentages of wind, solar, hydro, and coal. Every single metric maps to a rigid Pydantic model before your code even sees it. Your AI client cannot proceed if the renewable percentage field comes back as a string instead of a float. This strict type enforcement makes building automated load balancers actually safe for production environments.

Index supported grid territories

Running the `list_energy_zones` tool generates the complete dictionary of valid geographical codes. Your system uses this index to verify which global data center locations can actually be queried for power metrics. Connecting this MCP Server requires the unified `MCPToolset` class. You point it at your HTTP endpoint, pass the toolset to your Agent, and the framework automatically negotiates the schemas. It works identically whether you back the agent with Claude, Gemini, or a local Llama model.

Setup guide

Set up Electricity Maps Carbon Intelligence MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "electricity-maps-carbon-intelligence-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Electricity Maps Carbon Intelligence tools.",
)

result = await agent.run("List recent Electricity Maps Carbon Intelligence transactions")
print(result.output)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Electricity Maps Carbon Intelligence now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Electricity Maps Carbon Intelligence MCP in Pydantic AI

Import `MCPToolset` and initialize it with your Vinkius HTTP URL. Assign that object to the `toolsets` parameter when defining your agent instance.

Immediately. If the grid data violates your defined schema, the framework throws a runtime exception. This prevents malformed data from triggering bad infrastructure decisions.

The framework is entirely model-agnostic. You use OpenAI, Anthropic, or any local model that supports tool calling to interact with the grid tools.

The agent raises an explicit connection error during the tool execution phase. It will not attempt to guess or hallucinate the carbon intensity values.

The tools only receive target region identifiers like 'FR' or 'US-CA'. We enforce a zero-trust architecture where these location queries are processed in an ephemeral sandbox, completely isolated from your core application state and prompt history.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript