Xweather Renewable MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Xweather Renewable as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Xweather Renewable. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Xweather Renewable?"
)
print(response)
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.
LlamaIndex agents combine Xweather Renewable tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Xweather Renewable MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Xweather Renewable
Why Use LlamaIndex with the Xweather Renewable MCP Server
LlamaIndex provides unique advantages when paired with Xweather Renewable through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Xweather Renewable tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Xweather Renewable tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Xweather Renewable, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Xweather Renewable tools were called, what data was returned, and how it influenced the final answer
Xweather Renewable + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Xweather Renewable MCP Server delivers measurable value.
Hybrid search: combine Xweather Renewable real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Xweather Renewable to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Xweather Renewable for fresh data
Analytical workflows: chain Xweather Renewable queries with LlamaIndex's data connectors to build multi-source analytical reports
Xweather Renewable MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Xweather Renewable to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Xweather Renewable to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpXweather Renewable + LlamaIndex FAQ
Common questions about integrating Xweather Renewable MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.