How to Use the Xweather Renewable MCP in OpenAI Agents SDK

Q: Does the MCP Server support Xweather Renewable with the OpenAI Agents SDK?

Absolutely. You can pass the server as an mcpservers list to your Agent constructor. The agent handles the connections and execution flow for you, making it reliable.

Q: If I need site assessment data, what tools are available with Xweather Renewable and the OpenAI Agents SDK?

You can check getwinddata for turbine analysis. Plus, getsolarirradiancedata gives you historical readings needed to assess any solar PV location.

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Connect Xweather Renewable MCP to OpenAI Agents SDK

Create your Vinkius account to connect Xweather Renewable to OpenAI Agents SDK 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 Xweather Renewable with OpenAI Agents SDK

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Perplexity

Pinpoint station details and conditions.

The `get_closest_weather_station` tool finds nearby weather stations. This lets your agent figure out exactly where it's running, giving you crucial metadata alongside current readings. You can also use the `search_locations` tool first to find coordinates, elevation, and station details needed for other API calls. It's a solid starting point for any deployment.

Model energy production over time.

Use `get_renewable_energy_farm_data` to pull hourly forecasts up to ten days out, plus recent 5-minute estimates. This data is essential when your agent needs to optimize energy trading or check compliance. Don't forget the `get_extended_forecast`. It provides a full 15-day outlook with separate day and night periods, which helps plan long-term maintenance schedules.

Validate site performance history.

For validation, run `get_historical_observations` to compare model predictions against actual weather patterns. It's critical for proving that your renewable energy models are accurate. Need solar data? The `get_solar_irradiance_data` tool pulls historical irradiance readings, which is key when you're assessing a new PV site or validating yield estimates.

Setup guide

Set up Xweather Renewable MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Xweather Renewable tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Xweather Renewable tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Xweather Renewable tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Xweather Renewable Agent",
            instructions="You have access to Xweather Renewable tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Xweather Renewable MCP in OpenAI Agents SDK

You connect your agent using the MCP Server Streamable HTTP method. The agent auto-discovers all available tools, like `get_wind_data` and `get_current_conditions`, letting you write less code.

You get a lot of specific readings. The server provides hourly energy generation forecasts, 5-minute interval production estimates, and full weather alerts, all useful for operational agents.

Absolutely. You can pass the server as an `mcp_servers` list to your Agent constructor. The agent handles the connections and execution flow for you, making it reliable.

You can check `get_wind_data` for turbine analysis. Plus, `get_solar_irradiance_data` gives you historical readings needed to assess any solar PV location.

The server handles specific weather observations and energy generation forecasts. When building your agent, keep in mind that you're dealing with operational production estimates.

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