Solcast Solar MCP Server for CrewAI 11 tools — connect in under 2 minutes
Connect your CrewAI agents to Solcast Solar through the Vinkius — pass the Edge URL in the `mcps` parameter and every Solcast Solar tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Solcast Solar Specialist",
goal="Help users interact with Solcast Solar effectively",
backstory=(
"You are an expert at leveraging Solcast Solar tools "
"for automation and data analysis."
),
# Your Vinkius token — get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Solcast Solar "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 11 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Solcast Solar MCP Server
Connect to Solcast API and bring high-resolution solar forecasting intelligence to any AI agent. Access rooftop PV power forecasts, solar irradiance data (GHI, DNI, DHI), and weather conditions derived from satellite cloud tracking worldwide.
When paired with CrewAI, Solcast Solar becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Solcast Solar tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.
What you can do
- Rooftop PV Forecasts — Get PV power output forecasts (kW) for any rooftop solar system from present up to 14 days ahead
- Detailed PV Modeling — Forecast with exact system parameters (tilt, azimuth, capacity, loss factor) for maximum accuracy
- Solar Irradiance — Access GHI (Global Horizontal Irradiance), DNI (Direct Normal Irradiance), and DHI (Diffuse Horizontal Irradiance)
- Historical Radiation — Retrieve historical solar irradiance data for model validation and analysis
- Weather Forecasts — Get air temperature, cloud opacity, and snow depth data affecting solar production
- Site Management — List registered rooftop sites, get forecasts, estimated actuals, and measured production
- Quick Estimates — Get fast solar forecasts with minimal parameters (lat, lon, capacity only)
- Comprehensive Solar Summary — Combine irradiance, weather, and PV data in a single overview
The Solcast Solar MCP Server exposes 11 tools through the Vinkius. Connect it to CrewAI 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 Solcast Solar to CrewAI via MCP
Follow these steps to integrate the Solcast Solar MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py — CrewAI auto-discovers 11 tools from Solcast Solar
Why Use CrewAI with the Solcast Solar MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Solcast Solar through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Solcast Solar + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Solcast Solar MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Solcast Solar for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Solcast Solar, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Solcast Solar tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Solcast Solar against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Solcast Solar MCP Tools for CrewAI (11)
These 11 tools become available when you connect Solcast Solar to CrewAI via MCP:
get_detailed_pv_forecast
Use when you know your system's exact configuration for maximum forecast accuracy. USE WHEN: - User knows exact panel tilt and azimuth angles - User needs highly accurate forecasts for a specific system - User has detailed PV system specifications - User asks for precise solar output estimates PARAMETERS: - latitude (REQUIRED): Location latitude - longitude (REQUIRED): Location longitude - capacity (REQUIRED): System capacity in kW - tilt (REQUIRED): Panel tilt angle in degrees - azimuth (REQUIRED): Panel azimuth in degrees - loss_factor (OPTIONAL): System loss factor (0-1, default: 0.9) EXAMPLES: - "Detailed forecast for 6kW system, tilt 30°, azimuth 0° (north facing)" → call with latitude, longitude, capacity=6, tilt=30, azimuth=0 - "Precise PV estimate for my 8kW array at 25° tilt, 180° azimuth (south)" → call with capacity=8, tilt=25, azimuth=180 Get detailed PV power forecast with full system specifications
get_historical_radiation
Requires Pro/Enterprise plan for full historical access. USE WHEN: - User asks about historical solar radiation data - User needs past solar irradiance values for analysis - User wants to validate solar models with historical data - User asks "what was the solar irradiance last week" PARAMETERS: - latitude (REQUIRED): Location latitude - longitude (REQUIRED): Location longitude - start (REQUIRED): Start date/time (ISO 8601 format) - end (OPTIONAL): End date/time (ISO 8601 format) EXAMPLES: - "Historical solar radiation for Sydney last week" → call with latitude=-33.87, longitude=151.21, start="2026-03-31" - "GHI data for my location for March 2026" → call with latitude, longitude, start="2026-03-01", end="2026-03-31" Get historical solar irradiance data for a location
get_pv_power_forecasts
Forecasts are derived from satellite cloud tracking and irradiance data. USE WHEN: - User asks about solar power generation forecasts - User needs PV output estimates for a specific location - User wants to know expected solar energy production - User asks "how much solar power will my panels generate" PARAMETERS: - latitude (REQUIRED): Location latitude (-90 to 90) - longitude (REQUIRED): Location longitude (-180 to 180) - capacity (REQUIRED): System capacity in kW (DC rating) - tilt (OPTIONAL): Panel tilt angle in degrees (0=flat, 90=vertical) - azimuth (OPTIONAL): Panel azimuth in degrees (0=north, 180=south) - hours (OPTIONAL): Number of hours to forecast (default: 48, max: 336 for 14 days) EXAMPLES: - "Solar forecast for my 5kW system in Sydney -33.87, 151.21" → call with latitude=-33.87, longitude=151.21, capacity=5 - "PV forecast for 10kW rooftop in LA 34.05, -118.24" → call with latitude=34.05, longitude=-118.24, capacity=10 - "How much solar will my 3kW system generate tomorrow?" → call with latitude, longitude, capacity=3, hours=24 Get rooftop PV power forecasts for a location
get_radiation_forecasts
Essential for solar resource assessment. USE WHEN: - User asks about solar irradiance or solar radiation - User needs GHI, DNI, or DHI data for solar analysis - User is evaluating solar potential for a location - User asks "how much sunlight will there be" PARAMETERS: - latitude (REQUIRED): Location latitude - longitude (REQUIRED): Location longitude - hours (OPTIONAL): Number of hours to forecast (default: 48) EXAMPLES: - "Solar irradiance forecast for Sydney -33.87, 151.21" → call with latitude=-33.87, longitude=151.21 - "GHI and DNI forecast for my location 34.05, -118.24" → call with latitude=34.05, longitude=-118.24 - "How much solar radiation tomorrow?" → call with latitude, longitude, hours=24 Get solar irradiance forecasts (GHI, DNI, DHI) for a location
get_simple_pv_forecast
The API auto-estimates tilt and azimuth for reasonable default values. Perfect for quick estimates. USE WHEN: - User wants a quick solar estimate without exact system details - User doesn't know their panel tilt or azimuth - User needs a fast solar output estimate - User asks "roughly how much solar will I generate" PARAMETERS: - latitude (REQUIRED): Location latitude - longitude (REQUIRED): Location longitude - capacity (REQUIRED): System capacity in kW EXAMPLES: - "Quick solar estimate for -33.87, 151.21 with 5kW" → call with latitude=-33.87, longitude=151.21, capacity=5 - "Rough estimate for my 3kW system in LA" → call with latitude=34.05, longitude=-118.24, capacity=3 - "How much solar for a 10kW system here?" → call with latitude, longitude, capacity=10 Get quick PV power forecast with minimal parameters
get_site_estimated_actuals
Shows what your system likely produced recently. USE WHEN: - User wants to know what their solar system actually generated - User needs recent production estimates vs forecasts - User is analyzing system performance - User asks "how much did my solar panels actually produce" PARAMETERS: - site_id (REQUIRED): The site ID from your Solcast account - hours (OPTIONAL): Number of hours of historical data (default: 24) EXAMPLES: - "Estimated actuals for site abc-123 last 24 hours" → call with site_id="abc-123" - "What did my system produce yesterday?" → call with site_id="abc-123", hours=48 - "Recent solar production for my site" → call with site_id="your-site-id" Get estimated actual PV power output for a registered rooftop site
get_site_forecasts
Uses the site's configured parameters (capacity, tilt, azimuth) for accurate forecasts. USE WHEN: - User asks about forecasts for a specific registered site - User has a site ID and wants forecasts for that system - User needs predictions for a known rooftop installation - User asks "what will my registered solar site generate" PARAMETERS: - site_id (REQUIRED): The site ID from your Solcast account EXAMPLES: - "Forecast for site abc-123" → call with site_id="abc-123" - "What will my registered system def-456 generate?" → call with site_id="def-456" - "Solar forecast for my home system" → call with site_id="your-site-id" Get PV power forecasts for a specific registered rooftop site
get_site_measured_actuals
Requires the site to have real measurement integration. Shows exact production data. USE WHEN: - User has telemetry-enabled sites with real measurements - User needs exact measured production data (not estimates) - User is validating forecast accuracy - User asks "what was the exact measured output from my system" PARAMETERS: - site_id (REQUIRED): The site ID with telemetry enabled - hours (OPTIONAL): Number of hours of historical data EXAMPLES: - "Measured actuals for telemetry site xyz-789" → call with site_id="xyz-789" - "Exact production from my monitored system" → call with site_id="your-telemetry-site-id" - "Real production data last week" → call with site_id="xyz-789", hours=168 Get measured PV power output from a registered rooftop site with telemetry
get_solar_summary
Provides a complete picture of solar resources. USE WHEN: - User wants a complete solar overview for a location - User needs both irradiance and PV forecasts together - User asks for a solar resource assessment - User wants "complete solar data for my area" PARAMETERS: - latitude (REQUIRED): Location latitude - longitude (REQUIRED): Location longitude - capacity (OPTIONAL): System capacity in kW (for PV estimates) EXAMPLES: - "Complete solar summary for Sydney -33.87, 151.21" → call with latitude=-33.87, longitude=151.21 - "Solar resource assessment for my location 34.05, -118.24" → call with latitude=34.05, longitude=-118.24 - "Full solar data with 5kW system estimate" → call with latitude, longitude, capacity=5 Get a comprehensive solar summary including irradiance, weather, and PV forecasts
get_weather_forecasts
Useful for understanding conditions affecting solar output. USE WHEN: - User asks about weather conditions affecting solar panels - User needs temperature or cloud cover forecasts - User wants to understand weather impact on solar generation - User asks "what's the weather forecast for solar" PARAMETERS: - latitude (REQUIRED): Location latitude - longitude (REQUIRED): Location longitude - hours (OPTIONAL): Number of hours to forecast EXAMPLES: - "Weather forecast for solar panels in Sydney -33.87, 151.21" → call with latitude=-33.87, longitude=151.21 - "Cloud cover forecast for my location 34.05, -118.24" → call with latitude=34.05, longitude=-118.24 - "Temperature forecast for next week" → call with latitude, longitude, hours=168 Get weather forecasts including temperature, cloud opacity, and snow depth
list_rooftop_sites
Shows site IDs, capacities, and locations for managing multiple solar installations. USE WHEN: - User wants to see all their registered solar sites - User needs to find site IDs for other queries - User is managing multiple rooftop installations - User asks "what solar sites do I have configured" EXAMPLES: - "List all my solar sites" → call with no params - "Show my registered rooftop PV systems" → call with no params - "What sites do I have in Solcast?" → call with no params List all configured rooftop PV sites in your Solcast account
Example Prompts for Solcast Solar in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Solcast Solar immediately.
"What is the solar forecast for my 5kW rooftop system in Sydney at -33.87, 151.21?"
"Show me the solar irradiance (GHI and DNI) forecast for my location at 34.05, -118.24."
"How much solar energy will a 10kW system with south-facing panels (azimuth 180°, tilt 30°) generate tomorrow at latitude -37.81, longitude 144.96?"
Troubleshooting Solcast Solar MCP Server with CrewAI
Common issues when connecting Solcast Solar to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Solcast Solar + CrewAI FAQ
Common questions about integrating Solcast Solar MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Solcast Solar with your favorite client
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Connect Solcast Solar to CrewAI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.