Environmental intelligence for AI agents via MCP.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
AOI is a commercial intelligence layer that gives AI agents programmatic access to real-world climate, environmental, energy, and infrastructure intelligence through the Model Context Protocol (MCP). Instead of wrapping a model, AOI routes agents to live satellite, geospatial, climate, and industrial data sources — with a quote-first commercial lifecycle so agents always know the price before they spend.
Add this to your MCP client config (Claude, ChatGPT, Cursor, Windsurf, LangChain, CrewAI, AutoGen, etc.):
'''json { "mcpServers": { "aoi-environmental-intelligence": { "type": "http", "url": "https://carbonaa.org/functions/aoiMcpServer" } } } '''
''' Discover → Authenticate → Select Capability → Request Quote → Authorize Spend → Execute → Receive Intelligence → Verify Provenance → Settle '''
Agents never touch underlying providers, internal infrastructure, cost models, or proprietary systems. They interact through controlled capabilities and receive only information authorized for external consumption — every result carries source provenance and execution metadata. Quotes are free; execution requires prepaid balance.
🌐 Climate Risk — Climate Risk Assessment · Coastal Erosion Risk · Permafrost Thaw Risk · Seismic Risk Score
🏭 Asset & Infrastructure — Asset Climate Risk Scoring · Energy Infrastructure Climate Risk · Infrastructure Resilience Score · Insurance Underwriting Climate Risk
🌊 Flood · Heat · Wildfire · Drought — Flood Risk Score · Heat Risk Score · Wildfire Exposure Assessment · Drought Assessment
💧 Water & Soil — Water Scarcity Forecast · Water Stress Analysis · Soil Moisture Risk Assessment
🌱 Vegetation & Land — Crop Yield Forecast · Vegetation Health Index · Land Cover Classification · Land Change Detection · Deforestation Risk Score · Biodiversity Assessment
🛰️ Satellite Monitoring — Methane Leak Detection · Industrial Emission Detection · Glacier Retreat Monitoring · Satellite Change Detection
🌫️ Environmental Monitoring — Air Quality Assessment · Urban Heat Island Assessment
📄 Carbon · ESG · Regulatory — Carbon Assessment · ESG Intelligence Report · Regulatory Compliance Risk · Environmental Due Diligence · Supply Chain Climate Risk
🔮 Forecast & Scenario — Climate Forecast Interpretation · Climate Scenario Simulation
🔬 Evidence & Confidence — Confidence Assessment Report · Scientific Evidence Package · Custom Scientific Report
🧠 Digital Twin — Digital Twin Evaluation
Autonomous agents, research agents, financial & investment agents, energy & commodity agents, climate-risk systems, procurement agents, and compliance workflows that need reliable real-world intelligence rather than purely model-generated information.
This repository is a public documentation hub for the AOI MCP server. The intelligence engines and internal services run on Carbonaa infrastructure and are not open-sourced. AOI is not an MCP wrapper — it is a commercial intelligence layer where agents discover, purchase, and consume specialized real-world intelligence programmatically, with every capability validated for authentication, authorization, pricing, execution, provenance, payment, settlement, and security.
MIT
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