# Climate-Economic Nexus MCP (`ryanclinton/climate-economic-nexus-mcp`) Actor Integrated assessment modeling with ecological tipping cascades for AI agents via the Model Context Protocol. - **URL**: https://apify.com/ryanclinton/climate-economic-nexus-mcp.md - **Developed by:** [ryan clinton](https://apify.com/ryanclinton) (community) - **Categories:** AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 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) = a1*T + a2*T^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 ```json { "mcpServers": { "climate-economic-nexus": { "url": "https://climate-economic-nexus-mcp.apify.actor/mcp" } } } ```` #### Programmatic (HTTP) ```bash 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](https://blog.apify.com/is-web-scraping-legal/). **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 | MCP Server | Focus | |-----------|-------| | [agricultural-commodity-climate-mcp](https://apify.com/ryanclinton/agricultural-commodity-climate-mcp) | Agricultural supply chain climate risk | | [critical-minerals-dependency-mcp](https://apify.com/ryanclinton/critical-minerals-dependency-mcp) | Supply chain dependency for clean energy transition | | [data-center-siting-intelligence-mcp](https://apify.com/ryanclinton/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. # Actor input Schema ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ryanclinton/climate-economic-nexus-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("ryanclinton/climate-economic-nexus-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call ryanclinton/climate-economic-nexus-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ryanclinton/climate-economic-nexus-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Climate-Economic Nexus MCP", "description": "Integrated assessment modeling with ecological tipping cascades for AI agents via the Model Context Protocol.", "version": "1.0", "x-build-id": "bWYzuA8fux9UHoiMO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ryanclinton~climate-economic-nexus-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ryanclinton-climate-economic-nexus-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ryanclinton~climate-economic-nexus-mcp/runs": { "post": { "operationId": "runs-sync-ryanclinton-climate-economic-nexus-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], 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"type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, 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} ```