Climate Economic Nexus MCP Server

Integrated assessment modeling with ecological tipping cascades for AI agents via the Model Context Protocol. This MCP server orchestrates 18 environmental and economic data sources and applies 8 mathematical frameworks -- DICE integrated assessment, Thom cusp catastrophe tipping cascades, robust decision making (MOEA + PRIM), Gaussian process spatial downscaling, regime-switching carbon price forecasting, species-area biodiversity loss, and optimal fingerprinting climate attribution -- to deliver quantitative climate-economic risk intelligence.

What data can you access?

Data Point	Source	Coverage
Weather patterns and alerts	NOAA Weather	US and global
Seismic activity data	USGS Earthquake	Global
Global disaster events	GDACS Disaster Alerts	Worldwide
Air quality measurements	OpenAQ Air Quality	Global stations
UK flood risk data	UK Flood Warnings	UK coverage
Species occurrence data	GBIF Biodiversity	2B+ records
Threatened species data	IUCN Red List	Global species
Country development indicators	World Bank Indicators	200+ countries
Macroeconomic data	IMF Economic Outlook	Global economies
US economic indicators	FRED Economic Data	US data
OECD member statistics	OECD Statistics	OECD members
EU statistics	Eurostat	EU member states
Exchange rate data	Exchange Rate Tracker	150+ currencies
Historical exchange rates	Exchange Rate History	Historical series
Geographic coordinates	Nominatim Geocoder	Global
US disaster declarations	FEMA Disaster Search	All US disasters
Development projects	World Bank Projects	Global projects
Weather forecasting	Weather Forecast	Global locations

MCP Tools

Tool	Price	Description
simulate_integrated_assessment	$0.04	DICE integrated assessment model projecting temperature, CO2, GDP, emissions, damages, and social cost of carbon over 150 years with endogenous technical change.
detect_tipping_cascades	$0.04	Detect ecological tipping cascades using Thom cusp catastrophe theory. Models AMOC, Amazon, ice sheets, coral reefs, permafrost as coupled bifurcation systems.
optimize_robust_adaptation	$0.04	Optimize climate adaptation strategies using Robust Decision Making: MOEA multi-objective Pareto optimization + PRIM scenario discovery of vulnerable conditions.
downscale_spatial_impacts	$0.04	Downscale climate impacts to regional level using Gaussian process interpolation with Matern-3/2 kernel for temperature, precipitation, sea level, and damage mapping.
forecast_carbon_price_regimes	$0.04	Forecast carbon price evolution using regime-switching jump-diffusion with hidden semi-Markov model. Identifies low-stable, policy-transition, and high-volatile regimes.
assess_biodiversity_economic_loss	$0.04	Assess biodiversity-economic losses via species-area relationship (S = cA^z) and percolation theory on habitat landscape lattice. Quantifies ecosystem service losses per biome.
attribute_climate_damages	$0.04	Attribute extreme weather damages to climate change using optimal fingerprinting with total least squares. Decomposes natural variability from anthropogenic signal.

Data Sources

• NOAA Weather -- Weather patterns, severe alerts, and historical climate data
• USGS Earthquake -- Seismic activity for geological hazard context
• GDACS Disaster Alerts -- Real-time global disaster events (floods, droughts, cyclones, wildfires)
• OpenAQ Air Quality -- Global air quality measurements from monitoring stations
• UK Flood Warnings -- Flood risk data for UK coastal and river systems
• GBIF Biodiversity -- Species occurrence records for biodiversity loss modeling
• IUCN Red List -- Threatened species assessments for extinction risk analysis
• World Bank Indicators -- Country-level development indicators including climate vulnerability metrics
• IMF Economic Outlook -- Global macroeconomic projections and commodity price forecasts
• FRED Economic Data -- US economic time series for carbon price and economic damage calibration
• OECD Statistics -- Member state economic and environmental statistics
• Eurostat -- EU environmental, energy, and economic statistics
• Exchange Rate Tracker -- Currency data for international damage cost normalization
• Exchange Rate History -- Historical exchange rates for time-series analysis
• Nominatim Geocoder -- Geographic coordinate resolution for spatial downscaling
• FEMA Disaster Search -- US disaster declarations for damage attribution calibration
• World Bank Projects -- Development and climate adaptation project data
• Weather Forecast -- Multi-day weather forecasts for near-term impact assessment

How the scoring works

Seven mathematical frameworks model different aspects of the climate-economy nexus.

DICE Integrated Assessment (Nordhaus 2017): Three-reservoir carbon cycle coupled with two-box energy balance model. Projects temperature, CO2 concentration, GDP, emissions, damages, and social cost of carbon over 150 years. Damage function: Omega(t) = a1T + a2T^2.

Cusp Catastrophe Tipping Cascades (Thom 1975): Models AMOC shutdown, Amazon dieback, ice sheet collapse, coral reef death, and permafrost thaw as coupled bifurcation systems. Cascade coupling via regularized Heaviside function. Bifurcation set: 8a^3 + 27b^2 = 0.

Robust Decision Making: Three-level optimization (Lempert et al. 2003) -- MOEA generates Pareto-optimal adaptation portfolios; PRIM bump-hunting discovers vulnerable scenario regions; Monte Carlo evaluates strategy robustness using regret measure.

Gaussian Process Spatial Downscaling: Matern-3/2 kernel GP conditioned on observation points to interpolate temperature anomalies, precipitation changes, sea level rise, and damage intensity at regional resolution.

Carbon Price Regime Forecasting: Regime-switching jump-diffusion with hidden semi-Markov model and negative-binomial sojourn times. Identifies low-stable, policy-transition, and high-volatile price regimes.

Species-Area Biodiversity Loss: S = cA^z with z = 0.25 (continental). Below percolation threshold p_c = 0.5928, habitat fragments trigger accelerated extinction with scaling exponent beta = 0.14.

Optimal Fingerprinting Attribution: Allen & Stott (2003) total least squares decomposition of observed damages into anthropogenic signal and natural variability components.

How to connect this MCP server

Claude Desktop

{
  "mcpServers": {
    "climate-economic-nexus": {
      "url": "https://climate-economic-nexus-mcp.apify.actor/mcp"
    }
  }
}

Programmatic (HTTP)

curl -X POST https://climate-economic-nexus-mcp.apify.actor/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"simulate_integrated_assessment","arguments":{"query":"global warming 2 degrees"}},"id":1}'

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

Use cases for climate-economic intelligence

Climate Risk Financial Disclosure

Use simulate_integrated_assessment and downscale_spatial_impacts for TCFD-aligned climate risk scenario analysis. Project physical and transition risks under different warming pathways.

Carbon Market Strategy

Forecast carbon price regimes with forecast_carbon_price_regimes for emissions trading strategy. Identify regime transition probabilities for hedging and procurement timing.

Insurance Catastrophe Modeling

Attribute extreme weather damages to climate change with attribute_climate_damages for actuarial pricing. Decompose natural variability from anthropogenic trend.

Adaptation Investment Planning

Optimize climate adaptation portfolios with optimize_robust_adaptation. MOEA Pareto optimization identifies strategies robust across uncertainty scenarios.

Biodiversity Impact Assessment

Quantify ecosystem service losses with assess_biodiversity_economic_loss for environmental impact assessments and natural capital accounting.

Tipping Point Early Warning

Monitor proximity to ecological tipping points with detect_tipping_cascades. Cusp catastrophe analysis identifies when systems approach bifurcation thresholds.

How much does it cost?

All tools cost $0.04 per call. The Apify Free plan includes $5 of monthly credits -- enough for 125 tool calls. Each call queries multiple environmental and economic data sources in parallel.

FAQ

Q: Are these real climate models? A: The mathematical frameworks are implementations of published climate-economic models (DICE, Thom catastrophe theory, Allen-Stott attribution). They operate on real environmental and economic data from authoritative sources.

Q: How accurate are the projections? A: Projections are scenario analyses, not deterministic predictions. Uncertainty is inherent in integrated assessment modeling. Results should be interpreted by domain experts.

Q: Is it legal to use this? A: All data sources are publicly available. See Apify's guide on web scraping legality.

Q: What time horizons are covered? A: DICE simulates 150-year projections. Carbon price forecasting covers near-term regime transitions. Spatial downscaling provides current-state regional analysis.

Q: Can I use this for regulatory compliance? A: The tools support scenario analysis for TCFD, EU Taxonomy, and other climate disclosure frameworks. Compliance filings should be reviewed by qualified professionals.

Related MCP servers

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data-center-siting-intelligence-mcp	Climate-aware infrastructure siting

Integrations

This MCP server runs on the Apify platform and supports scheduling, webhooks, API access, and dataset export for climate risk platform integration.