Energy Transition Resilience
@apifyforge
About Energy Transition Resilience
Energy transition resilience analysis via the Model Context Protocol, combining 8 live data sources into a unified multi-factor assessment.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"energy-transition-resilience-mcp": {
"url": "https://ryanclinton--energy-transition-resilience-mcp.apify.actor/mcp"
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Energy Transition Resilience?
Energy Transition Resilience is an MCP server that combines eight live data sources—including EV charging stations, oil/gas licenses, air quality, weather alerts, and economic indicators—into a unified multi-factor assessment of a region’s readiness for the transition away from fossil fuels. It is built for energy analysts, infrastructure investors, policymakers, and AI agents who need structured, quantitative scores on EV readiness, fossil fuel dependency, air quality, climate vulnerability, and economic price shock risk.
How to use Energy Transition Resilience?
Add the SSE URL and your Apify API token to your MCP client’s configuration (Claude Desktop, Cursor, Windsurf). Then ask natural-language questions like “How resilient is Germany’s energy system?” The client calls the appropriate tool with region and parameters, returning scored JSON results. Results are also stored in the Apify dataset for batch processing and scheduling.
Key features of Energy Transition Resilience
- 8-source parallel data fetching with
Promise.allfor minimal latency - Haversine proximity edge‑building linking EV stations and air quality monitors
- Five‑dimension weighted composite scoring (EV, fossil, air, climate, economic)
- Transition grade A–F and risk‑level classification (low, moderate, high, critical)
- Structured JSON output with typed TypeScript interfaces
- SSE transport on Apify Standby with no cold‑start latency after initialization
- Scheduled runs, API access, pay‑per‑call pricing, and monitoring on Apify platform
Use cases of Energy Transition Resilience
- Municipal energy planning: score a region’s readiness to prioritize infrastructure spending
- Energy portfolio risk assessment: quantify transition risk and price‑shock vulnerability for asset managers
- Climate adaptation strategy: combine weather severity and air quality data to guide investments
- EV network expansion: evaluate station density, fast‑charger ratio, and average kW per region
- AI agent research workflows: let LLM agents call tools to answer natural‑language energy questions
FAQ from Energy Transition Resilience
What data sources does it use?
Open Charge Map, NSTA Oil & Gas, OpenAQ, NOAA Weather Alerts, FRED Economic Data, World Bank Data, ECB Exchange Rates, and Eurostat energy balance data.
Does it require any subscription or infrastructure?
It runs on Apify’s pay‑per‑call pricing—no subscription, no idle costs. Only an Apify account (free tier includes $5/month credits) is needed; no self‑hosted infrastructure.
How is the transition readiness score calculated?
The composite score weights five dimensions: EV readiness (25%), fossil fuel dependency (20%), air quality (15%), climate vulnerability (20%), and economic stability (20%). Overall score maps to a letter grade A–F.
What transport and authentication does it use?
The server uses SSE transport. Clients authenticate by including an Authorization: Bearer YOUR_APIFY_TOKEN header in the SSE connection request.
Are there any known limits?
Each tool call costs $0.045 and returns results from live APIs. The maxResults parameter (default 50–100) controls per‑source data volume. All commands run concurrently, so total response time depends on the slowest source.
More Other MCP servers
Servers
modelcontextprotocolModel Context Protocol Servers
MaxKB
1Panel-dev🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Activepieces
activepiecesAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

EverArt
modelcontextprotocolModel Context Protocol Servers
IDA Pro MCP
mrexodiaAI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
Comments