How to Use the GridStatus MCP in Pydantic AI

Q: What happens if GridStatus returns empty data to Pydantic AI?

If a query like getfuelmix returns an empty set or unexpected nulls, Pydantic AI raises a validation error. This prevents your agent from making decisions based on incomplete fuel mix statistics.

Q: Can I run cross-ISO comparisons using GridStatus and Pydantic AI?

Yes. Use getstandardizeddata to fetch uniformly formatted hourly metrics. The framework validates this unified schema, making it safe to compare CAISO and PJM data directly.

Q: How do I track capacity commitments safely?

Your agent can query getcapacitydata to monitor resource adequacy. The framework validates the capacity market outputs, ensuring your long-term planning models receive clean data.

Run type-safe grid analysis in Pydantic AI with strict runtime validation for GridStatus data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect GridStatus MCP to Pydantic AI

Create your Vinkius account to connect GridStatus 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 GridStatus with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-Safe Grid Load Monitoring in Pydantic AI

Prevent silent failures in your energy pipelines. Your agent fetches real-time demand using `get_load_data` and validates the structure against strict Pydantic models. If CAISO or ERCOT changes their response format, the system catches it instantly. This MCP Server ensures that every float, timestamp, and string matches your expected schema. You don't have to worry about null values crashing your downstream calculations when tracking grid stress.

Validate Wholesale Electricity Prices at Runtime

Guard your trading models against corrupted pricing inputs. Your agent pulls day-ahead locational marginal pricing using `get_lmp_data`. This MCP Server ensures that day-ahead locational marginal pricing is clean before ingestion. For real-time analysis, the agent queries `get_realtime_lmp` to monitor 5-minute price fluctuations. If a node returns unexpected data, the framework raises a validation error immediately rather than passing bad data to your execution model.

Structured Dataset Discovery

Safely explore available power grid datasets. Your agent calls `list_datasets` to find active endpoints. It then uses `get_dataset_metadata` to verify the schema and coverage dates, converting the raw JSON into typed Python objects. When pulling raw data via `query_dataset`, you can enforce strict filters. The framework ensures that your start dates, end dates, and limit parameters conform to the exact types required by the API.

Setup guide

Set up GridStatus 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": {
        "gridstatus-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent GridStatus 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 GridStatus. 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 GridStatus 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 GridStatus MCP in Pydantic AI

Use the MCP toolset class pointing to your Vinkius HTTP endpoint. Pass this toolset to your agent instance to give it type-safe access to all twelve grid tools.

If a query like `get_fuel_mix` returns an empty set or unexpected nulls, Pydantic AI raises a validation error. This prevents your agent from making decisions based on incomplete fuel mix statistics.

Yes. Use `get_standardized_data` to fetch uniformly formatted hourly metrics. The framework validates this unified schema, making it safe to compare CAISO and PJM data directly.

Your agent can query `get_capacity_data` to monitor resource adequacy. The framework validates the capacity market outputs, ensuring your long-term planning models receive clean data.

The MCP Server only interacts with public electricity grid data, including load, pricing, and capacity commitments. All communication runs over secure, encrypted channels, and the Vinkius sandbox ensures your proprietary validation code remains private.

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