Energy Transition Intelligence MCP Server

Energy market and grid risk intelligence via the Model Context Protocol. This MCP server orchestrates 7 data sources to deliver energy transition readiness scoring, grid stress prediction, stranded asset risk analysis, EV infrastructure gap assessment, carbon trajectory tracking, and regulatory monitoring. Built for energy investors, grid operators, climate finance teams, and EV infrastructure planners.

What data can you access?

Data Point	Source
US energy production, consumption, and pricing	EIA Energy Data
UK power grid carbon intensity (near real-time)	UK Carbon Intensity
Global EV charging station locations and specs	Open Charge Map
Energy-related economic indicators and prices	FRED Economic Data
Weather impact on renewable generation and load	Weather Forecast
Energy policy and regulatory changes	Federal Register
UK oil and gas production and licensing data	NSTA Oil & Gas

MCP Tools

Tool	Price	Description
assess_transition_readiness	$1.50	Score energy transition readiness combining renewable share, carbon intensity, EV infrastructure, regulatory support, and fossil fuel dependency into a Transition Readiness Score (0-100)
predict_grid_stress	$1.50	Predict grid stress with 48-72 hour lookahead using weather-driven demand forecasts, supply-demand balance analysis, and peaker plant activation triggers
evaluate_stranded_asset_risk	$1.50	Evaluate stranded asset risk for fossil fuel infrastructure by analyzing oil/gas licenses, regulatory tightening trajectory, commodity price stress, and decarbonization rate
analyze_ev_infrastructure_gaps	$1.50	Identify EV charging infrastructure gaps by region analyzing charger density, fast charger ratio, grid capacity for EV load, and adoption pressure
track_carbon_trajectory	$1.50	Track carbon emissions trajectory with grid carbon intensity trends, generation mix evolution, and economic decoupling analysis
monitor_energy_regulation	$1.50	Monitor energy policy and regulatory changes from the Federal Register including proposed rules, final rules, and notices affecting energy markets
generate_energy_transition_brief	$4.00	Comprehensive energy transition readiness brief combining all 7 data sources, 4 scoring models, transition grade (A-F), outlook, opportunities, and risks

Data Sources

• EIA Energy Data -- US Energy Information Administration data covering production, consumption, generation mix, fuel types, and electricity pricing
• UK Carbon Intensity -- National Grid ESO carbon intensity API providing near real-time UK power grid carbon intensity measurements
• Open Charge Map -- Global registry of EV charging stations with connector types, power levels, and availability data
• FRED Economic Data -- Federal Reserve Economic Data time series including crude oil prices, natural gas prices, and energy-related economic indicators
• Weather Forecast -- Multi-day weather forecasting for renewable generation prediction and demand spike anticipation
• Federal Register -- US government regulatory changes including proposed rules, final rules, and notices from DOE, EPA, FERC, and other energy agencies
• NSTA Oil & Gas -- UK North Sea Transition Authority data on oil and gas production licenses and licensing rounds

How the scoring works

The MCP produces four scoring models that capture different dimensions of energy transition risk and opportunity.

Energy Transition Readiness Score (0-100) combines generation mix analysis, renewable energy penetration rate, carbon intensity trends, EV infrastructure density, and policy environment assessment. Higher scores indicate regions further along the transition pathway.

Grid Stress Predictor uses weather forecasts, electricity demand data, and carbon intensity to model 48-72 hour stress outlook. It identifies when demand spikes coincide with low renewable generation, potentially triggering peaker plant activation.

Stranded Asset Risk Index (0-100) evaluates fossil fuel asset exposure by cross-referencing active oil/gas licenses with regulatory tightening trajectory and commodity price economics. Higher scores indicate greater stranding risk.

EV Infrastructure Gap Analyzer (0-100) compares charging station density against EV adoption pressure using economic indicators. Identifies regions where infrastructure trails demand.

Score Range	Assessment
0-25	Early stage -- minimal transition progress
26-50	Developing -- transition underway but gaps remain
51-75	Advanced -- strong transition momentum
76-100	Leading -- near-complete or complete transition

How to connect this MCP server

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "energy-transition": {
      "url": "https://energy-transition-intelligence-mcp.apify.actor/mcp"
    }
  }
}

Programmatic (HTTP)

curl -X POST https://energy-transition-intelligence-mcp.apify.actor/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"assess_transition_readiness","arguments":{"region":"Texas","energyType":"wind"}},"id":1}'

This MCP also works with Cursor, Windsurf, Cline, and any other MCP-compatible client.

Use cases for energy transition intelligence

Utility Investment Analysis

Score transition readiness for utility companies and energy regions to inform investment decisions around renewable energy exposure and stranded asset risk.

Grid Reliability Planning

Use the grid stress predictor with 48-72 hour weather lookahead to anticipate supply shortfalls, plan peaker dispatch, and manage renewable intermittency.

Climate Finance Due Diligence

Assess stranded asset risk for fossil fuel portfolios and evaluate the regulatory trajectory driving decarbonization timelines in specific regions.

EV Infrastructure Expansion

Identify underserved regions for charging network expansion by comparing existing charger density against EV adoption rates and grid capacity.

Carbon Reporting and ESG

Track carbon intensity trajectories over time and correlate with economic growth metrics to demonstrate or evaluate decoupling progress for ESG reporting.

Regulatory Change Monitoring

Stay ahead of energy policy shifts by monitoring Federal Register publications from DOE, EPA, FERC, and state-level energy agencies.

How much does it cost?

This MCP uses pay-per-event pricing. You are only charged when a tool is called -- there is no subscription or monthly fee.

The Apify Free plan includes $5 of monthly platform credits, enough for several transition assessments at no cost.

Cost examples:

• Assess one region's transition readiness: $1.50
• Full transition brief for a region: $4.00
• Compare 3 regions (readiness + EV gaps + carbon): $13.50

How it works

1. You call a tool (e.g., assess_transition_readiness) with a region and optional energy type focus
2. The MCP dispatches parallel requests to relevant Apify actors (up to 7 simultaneously)
3. Energy production data, carbon intensity, EV infrastructure, economic indicators, weather, regulation, and fossil fuel license data are collected
4. Scoring functions analyze the data across transition readiness, grid stress, stranded assets, and EV gaps
5. A structured JSON response is returned with scores, grades, signals, and raw data

FAQ

Q: Does this provide real-time grid data? A: UK carbon intensity is near real-time via the National Grid API. US EIA data has varying update frequencies (monthly to annual). Weather forecasts provide 48-72 hour lookahead for grid stress prediction.

Q: What geographies are covered? A: US data via EIA and Federal Register. UK data via Carbon Intensity and NSTA. EV charging data is global via Open Charge Map. Weather and economic data have worldwide coverage.

Q: Can it model specific renewable energy projects? A: It provides regional-level analysis rather than project-level modeling. Use it to assess the market environment and regulatory context for specific project decisions.

Q: How does the stranded asset model work? A: It cross-references active oil/gas licenses (NSTA) with regulatory tightening signals (Federal Register), commodity price trends (FRED), and generation fuel mix shifts (EIA) to estimate exposure.

Q: Is it legal to use this data? A: All data sources are public government databases and open data registries. See Apify's guide on web scraping legality.

Q: Can I combine this with other MCPs? A: Yes. Use the Data Center Siting Intelligence MCP for power availability analysis, or the Agricultural Commodity Climate MCP for climate impact on food-energy nexus analysis.

Related MCP servers

MCP Server	Description
ryanclinton/data-center-siting-intelligence-mcp	Data center power availability and site selection intelligence
ryanclinton/agricultural-commodity-climate-mcp	Climate impact on agriculture and commodity supply chains
ryanclinton/energy-transition-resilience-mcp	Energy transition resilience modeling with 8 data sources
ryanclinton/infrastructure-location-risk-mcp	Physical location risk assessment with 16 data sources

Integrations

This MCP server runs on the Apify platform and supports:

• Apify API -- Call any tool programmatically via the Apify Actor API
• Scheduling -- Set up recurring energy transition monitoring on any schedule
• Webhooks -- Get notified when assessments complete for downstream integration
• Apify integrations -- Connect to Slack, Google Sheets, Zapier, Make, and other platforms