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Estimate photovoltaic energy production quickly using the PVGIS solar data API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PVGIS MCP" yet — see the docs or source repo.
Use the PVGIS MCP to estimate annual photovoltaic production with these parameters: location Madrid, Spain; system size 5 kWp; tilt 30 degrees; south-facing installation. Return total annual production, monthly production, and key assumptions.
Provides total annual output, month-by-month generation estimates, and model assumptions for the solar system.
Use the PVGIS MCP to compare photovoltaic production at tilt angles of 15, 30, and 45 degrees for the same site. Location: Rome, Italy; system size: 10 kWp; same azimuth. Summarize annual output differences in a table and recommend the best angle.
Returns a comparison table of energy output by tilt angle and recommends the optimal installation angle.
Using the PVGIS MCP, retrieve production estimates for a 20 kWp photovoltaic system in Berlin, Germany, and format a report-ready summary including location, system parameters, annual production, and seasonal variation.
Generates a structured, report-ready summary of system parameters and production trends.
Run AI-first testing and development with agents, memory, and browser automation.
Access remote MCP tools with GitHub OAuth, utility actions, and image generation.
Adds reliable arithmetic and web fetching to improve LLM accuracy and access.
Use a local MCP server to generate images with Azure OpenAI prompts.
Host and expose MCP tools remotely to AI clients on Cloudflare Workers.
Connect to 100+ third-party services via one interface for actions or code generation.