Xweather Renewable MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Xweather Renewable through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Xweather Renewable Assistant",
instructions=(
"You help users interact with Xweather Renewable. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Xweather Renewable"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Xweather Renewable MCP Server
Connect to Vaisala Xweather API and bring professional-grade weather intelligence to any AI agent. Access current conditions, 15-day forecasts, solar irradiance data, wind measurements, and renewable energy farm power output data for site assessment and operational optimization.
The OpenAI Agents SDK auto-discovers all 12 tools from Xweather Renewable through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Xweather Renewable, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Current Conditions — Get real-time temperature, humidity, wind, pressure, and solar radiation for any global location
- Weather Forecasts — Access up to 15-day detailed forecasts with day/night periods for planning renewable energy operations
- Solar Irradiance — Retrieve historical solar irradiance measurements (GHI, DNI, DHI) for PV site assessment
- Wind Data — Get detailed wind speed, direction, and gust measurements for wind farm evaluation
- Energy Farm Output — Access estimated and forecasted power output for wind and solar energy sites in US/Canada
- Historical Observations — Query archived weather data for model validation and trend analysis
- Location Search — Find weather stations and places by name or coordinates
- Weather Alerts — Monitor severe weather warnings to protect renewable energy assets
- Extended Forecasts — Get 15-day outlooks for long-term maintenance and production planning
The Xweather Renewable MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Xweather Renewable to OpenAI Agents SDK via MCP
Follow these steps to integrate the Xweather Renewable MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Xweather Renewable
Why Use OpenAI Agents SDK with the Xweather Renewable MCP Server
OpenAI Agents SDK provides unique advantages when paired with Xweather Renewable through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Xweather Renewable + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Xweather Renewable MCP Server delivers measurable value.
Automated workflows: build agents that query Xweather Renewable, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Xweather Renewable, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Xweather Renewable tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Xweather Renewable to resolve tickets, look up records, and update statuses without human intervention
Xweather Renewable MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Xweather Renewable to OpenAI Agents SDK via MCP:
get_closest_weather_station
Returns station details and current conditions. Find the closest weather station to geographic coordinates
get_current_conditions
Use city name, coordinates (lat,lon), or station ID. Get current weather conditions for a location
get_extended_forecast
Useful for long-term renewable energy production planning and maintenance scheduling. Get extended 15-day weather forecast with day/night periods
get_historical_observations
Essential for validating renewable energy production models against historical weather patterns. Get historical weather observations for a location
get_renewable_energy_farm_data
Includes hourly energy generation forecasts up to 10 days ahead and recent 5-minute interval production estimates. Essential for energy trading, operational optimization, and regulatory compliance. Get renewable energy farm power output and production data
get_solar_irradiance_data
Critical for solar PV site assessment and energy yield validation. Get historical solar irradiance data for renewable energy assessment
get_weather_alerts
Critical for renewable energy asset protection during severe weather events. Get weather alerts and advisories for a location
get_weather_forecast
Essential for renewable energy production planning. Get weather forecast for a location (up to 15 days)
get_weather_observations
Shows actual observed data from weather stations. Get recent weather observations for a location
get_weather_summary
Quick overview for general weather awareness. Get a weather conditions summary for a location
get_wind_data
Essential for wind farm site assessment, turbine performance analysis, and wind energy production forecasting. Get wind speed and direction data for renewable energy assessment
search_locations
Returns place details including coordinates, elevation, and station metadata needed for other API queries. Search for places by name or query
Example Prompts for Xweather Renewable in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Xweather Renewable immediately.
"What is the current weather and wind speed in Chicago?"
"Show me the 7-day weather forecast for a solar farm site at 35.0, -106.0."
"Get the solar irradiance data for my PV site at 34.05, -118.24 for last month."
Troubleshooting Xweather Renewable MCP Server with OpenAI Agents SDK
Common issues when connecting Xweather Renewable to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Xweather Renewable + OpenAI Agents SDK FAQ
Common questions about integrating Xweather Renewable MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Xweather Renewable with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Xweather Renewable to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.